Flat Map

Flat Map
First thing's first; this tutorial is written mainly to remind myself of the steps I go through when making a map...much of this will sound like a
lecture but it's how I work and what I'm thinking, my steps might not be perfect and my observations might be incorrect. Next, look at a GLOBE of
the earth not a flat map, this is because a flat map will distort things near the poles to make them look larger than they really are (Greenland looks
huge on a flat map). Get the proportions of landmass to ocean roughly in your mind (our earth is 70% water, I think) and take some measurements if
you want to by using a piece of string then holding the string up to a ruler. For this tutorial I'm going to do a small continent (2000 X 2000). 1. To...
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Use white to add land and black to add water. What I do is zoom to 200 or 300% and start in the top left corner and scan across, making tweaks as I go,
and when I get to the other side move down and scan back across until I have reached the bottom. Also look for long straight lines or large right angles
and round these off. Be careful to make sure you leave a few large lakes and don't cover over all of the little lakes, especially if you want some place
like Minnesota "land of 10,000 lakes". Where you know there will be desert or plains then go ahead and cover these areas pretty well but not
completely since lakes in the desert will act as oases and all lakes visible at this resolution are at least 1 mile so there will likely be a village of some
sort nearby (if you're using some other resolution then use your judgment). This process can take a while but if you're going to do it, you might as
well do it right. This is also the time to add any unique features like a skull island or an island in a lake for which to place a magnificent castle. Don't
do any major terra forming but instead tweak what is already there. 13. Copy this layer (base copy) then go back and fill in all of the lakes. 14. Select
> color range (use black with fuzziness 200), hit delete, then deselect and hide the layer. Click on the base layer and repeat then hide the base layer as
well. 15. Click on the Background copy layer and rename it to "ocean". 16. Copy this layer then rename
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Analysis Of Indian News Channels
4.1 Input video We imagine a system wherever a large number of TV broad– cast channels are monitored by a partial number of being monitor. The
channels are in English, Hindi (National language of India), and a few other Indian regional languages. Several channels are news channels except a
few are entertainment channels, which have speciп¬Ѓc news time– slots. The contents of the news channels include weather reports, talk shows,
interviews and other such programs as well news. The programs are intersperse with commercial breaks. The work will be focus on indexing news
and only the related programs. TV news commercial detection doesn't have dataset is publicly available as of our knowledge .Therefore benchmarking
and comparing dissimilar... Show more content on Helpwriting.net ...
Detecting a gray scale image is hard if there is an edge or color information could be helpful if we need known hue identify objects. If we don't
require any color we can considered as noise. 2)For learning image processing, It is better to know grayscale processing firstly and next recognize
how it applies to multichannel processing before starting the full color imaging. By learning single channel processing we can miss all important
insights. 3)Complexity of the code. For finding edges base on luminance and chrominance you have to get extra work and that work is tough to
excuse if the additional color information isn't helpful for interesting application. 4)Difficulty of visualization. The division algorithm of grayscale
images is quite easy to conceptualize for the reason that we can assume of the two spatial dimensions, and one brightness dimension when a 3D image
with valleys, hills, catchment basins, ridges etc. In our 3D visualization of gray scale image "peak brightness" is a mountain peak and there are an
amount of algorithms for an instinctive "physical" interpretation assist us suppose through troubles. In RGB, HSI, Lab and additional color spaces is
much harder this sort of visualization as, there are extra dimensions that the normal human brain can't visualize simply. 5)Color is complex. Humans
recognize and classify color with deceptive simplicity, if you

The Importance Of Image Analysis
Mohammed El–Helly et al. [8] proposed an approach for integrating image analysis technique into diagnostic expert system. A diagnostic model was
used to manage cucumber crop. According to this approach, an expert system finds out the diseases of user observation. In order to diagnose a
disorder from a leaf image, five image processing phases are used: image acquisition, enhancement, and segmentation, feature extraction and
classification. Images were captured using a high resolution color camera and auto focus illumination light. Firstly they transformed the defected RGB
image to the HSI color space then analyzed the histogram intensity channel then increased the contrast of the image. Fuzzy C Means (FCM)
segmentation is used in this ... Show more content on Helpwriting.net ...
Algorithms for selecting useful texture features were developed by using stepwise discriminant analysis. They developed four models i.e. HSI_39,
HSI_15, HS_10 and I_11. Classification was done by minimum distance classifier. The model using 15 selected HSI texture features got the best
classification accuracy (95.6%), which recommended that it would be best to use a reduced hue, saturation and intensity texture feature set to
differentiate orange diseases. The HSI_15 model, I_11 and HSI_39 models achieved classification accuracy 95.6%, 81.11% and 95.6% respectively.
Bauer et al. [10] developed algorithms for the automatic classification of leaf diseases based on stereo and high resolution multispectral images.
Leaves of sugar beet were used in this method. Sugar beet leaves might be infected by several diseases. In controlled light laboratory environment,
They collected stereo images of single sugar beet leaves by RGB and multispectral cameras. The leaves were either healthy or infected from diseases
such as rusts, powdery mildew and Cercospora leaf spot. They generated 3–D models of the leaves to fuse information from the two cameras.
Classification is done by k–nearest neighbour and an adaptive Bayes method. The classification accuracy achieved were 91% for Cercospora leaf
spots and 86% for rust disease.
Weizheng et al. [11] developed an accurate and fast new method based

Experiment : Stroop 's Stroop Effect
IB Psychology SL
Internal Assessment
May 2017
Word Count:
Stroop Effect
Abstract
The aim of this experiment was to replicate the experiment Stroop (1935). This study was the basis of the Stroop effect, which says that common tasks
such as identifying a color can be interfered by automated processes, such as reading.
TABLE OF CONTENTS
Introduction
Method
Design
Participants
Materials
Procedure
Results
Description of results
Discussion
References and Bibliography
Appendices
Introduction f Aim:

METHOD
DESIGN
The experimental conditions were whether the name of the color read and the font color of the word read matched or did not match. DOES THIS
SOUND OKAY
The control conditions were the group of participants, the number of words read, and the environment in which the task was performed. These
conditions were controlled to ensure that any variation in the times taken to perform the tasks of reciting the lists was caused by the difference in color
and word which was written.
The experimental design chosen was repeated measures. The advantages of using this design are the reduced differences in participants such as levels
of intelligence. The disadvantages are the possibility of order effects in participants, such as the practice effect or the fatigue effect. In effort to reduce
order effects, half of

Swot Analysis
embedded arefindout. The embedding is accomplished after block dividing the cover picture and WI. The experimental effects display that the
proposed technique is powerful.
[35], DivjotKaurThind, et.al In this paper a ultra–modern digital video watermarking scheme is proposed which mixes DWT and SVD in which
watermarking is achieved within the HF sub band and then various forms of attacks have been carried out. The watermark object has been embedded
in each body of the original video. Since in each frame, watermark is embedded and it offers robustness towards attacks.
[36], Abhilasha Sharma, et.al. The proposed watermarking technique is based on two TD techniques, DCT and DWT. In embedding method, the CI is
divided into two separate ... Show more content on Helpwriting.net ...
[39], ArashSaboori, et.al In this paper a new method is proposed the usage of the combination of DCT and PCA transform with a view to lessen thelow
frequency band for the shade image
50 in YUV color space. The Y (luminance) is divided into non–overlapping blocks and the low band coefficients of each block are placed in the
matrix data than PCA transform are applied on it. This method eliminates the disadvantage of low band based on the combination of DCT and PCA
transform.
[40], Hwai–Tsu Hu, et.al. This paper affords a singular scheme able to providing sturdy, high potential and transparent blind audio watermarking. A set
of guidelines is developed to keep the power balance in frequency band. A scheme has been proposed to attain high performance watermarking by
exploiting perceptual masking in DCT domain. The audio signal is partitioned into non–overlapping frames of length 4160.
[41], D. Vaishnavi, et.al introduces two methods for invisible and robust watermarking proposed inRGB color space. In the first strategies, grey scale
watermark is embedded at the blue coloration channel and in 2nd technique, blue colour watermark is embedded at the blue colour channel factors and
then SVD applied on the blue channel of HI to retrieve singular values. They concluded that first method gives a good robustness for median filtering
attacks, for motion blur etc. and second method gives good

Mathematics of the Eye and Color Essay
Eye And Color
The eye form a "optical image" on the light sensitive cell of the retina. It is very often compared to a camera in it so workings. However it is like a
camera in its focusing properties but is very different after the light has hit the retina. The camera just prints a point to point representation of the image
on film, where as the is much more complex and interesting. The visible light is only a very small portion of the electromagnetic spectrum and various
wavelength in this visible spectrum of light represent different colors. Short wavelength light is reddish, medium wavelength light is greenish and long
wavelength light is bluish. This make apparent in the a schematic of electromagnetic radiation below. The... Show more content on Helpwriting.net ...
The of dioptric power of the relaxed lens is 19 and can be increased significantly by accommodation. The rim of the lens is irregular and exhibits
diffraction so only used when absolutely necessary. The lens has a refractive index of 1.406 at the centre and 1.386 at the rim. The optical axis
defined to be a line through the middle of the eye
* Vitreous Humor– liquid between the lens and the retina has a refractive index of 1.337. * Retina–is the light sensitive part of the eye. The part that
converts the light stimuli into neural signals to be interpreted by the cerebral cortex. I will not discuss how the photoreceptors convert the light stimuli
into electrical signals, since it involves bio–chemistry, a good description can be found in any physiology book. Light must pass through the neural
layers of the retina before reaching the photosensitive layer which consists of rods and cones. The neural layer consist of ganglion cells and bipolar
cells. The bipolar cells take the electrical from the photoreceptors to the ganglions cell which in turn form the optic nerve that connect the eye to the
brain. The optic nerve and the blood circulation apparatus leave the eye at the optic disc or the blind spot. Named so because it has not
photoreceptors. A special part of the retina crucial of acute vision is which does

QuГ© es el color? Essay
Color
El color es la impresiГіn que se produce en nuestros ojos, como reacciГіn a la luz o rayos luminosos, podemos decir que los cuerpos iluminados
absorben la luz y/o la reflejan, por eso decimos que cuando hay poca iluminaciГіn nuestros ojos solo pueden captar o percibir el color negro y blanco.
Isaac Newton realizГі un experimento para demostrar la teorГa del color, el experimento en sГ se basaba en una habitaciГіn sin presencia de luz
(oscura), donde dejГі pasar un haz de luz blanca sobre un cristal, y observГі que la luz en el cristal se descomponГa y aparecГan nuevos colores (los
mismos que los del arco iris), con Г©ste experimento Newton concluyГі que la luz blanca estГЎ presente en todas partes y es la uniГіn de varios
colores, Гіsea ... Show more content on Helpwriting.net ...
AquГ vemos que se encuentran los colores del arco iris, los colores primarios (rojo, verde y azul) conocidos en la mezcla RGB se encuentran separados
uniformemente, y el color contrapuesto a ellos son los (cian, magenta y amarillo) respectivamente CMY, y en el intermedio de cada color RGB con el
CMY forman otro color, para un total de 12 colores que conforman Г©ste cГrculo cromГЎtico.
Estos colores mencionados anteriormente y mГЎs conocido como RGB, son los "colores primarios aditivos" y los colores CMYK forman los "colores
primarios sustractivos".
Los colores primarios del RGB producen todos los colores del espectro visible mediante una mezcla entre ellos, por ejemplo mezclando cada uno,
salen los colores primarios CMY y mezclando los 3 colores sale el color blanco, este modelo RGB se usa para los monitores de los computadores, se
basa en adiciГіn, lo que significa que para representar otros colores se hace por medio de estos tres y el valor que Г©ste puede tomar es de 0 a 255,
indicando que 0 es ausencia del color y 255 su intensidad mayor.
Para los Colores CMYK es un modelo de color sustractivo o pigmento usado para la impresiГіn, como se ha dicho antes estos son los opuestos a los
colores RGB, es decir

Color Of Color And Color Essay
Color chart– a brief explanation
You must have heard of color charts by now! Today, most companies are making use of charts to represent different objects. Color is subjective, and
each color represents different ideas. Basically, it is found that there are different shapes of a singlecolor which are referred to with different names.
With the help of a chart it is possible to describe the color of bromeliad parts. Now, there is no need of referring to a color as red or yellow, instead, you
have possibility of using a number from the chart.
What is a color chart?
Firstly, it is vital for you to know the meaning of color charts. They are also referred to as color reference cards which are defined as flat physical
objects that come with a variety of color samples. It is either a one page chart or available in the form of swatch books or even color– matching fans.
Printable color chart templates appear to be very handy. This can help you carry the copy in your wallet and refer to colors as and when necessary.
Understanding the color wheel
The color wheel is considered to be a chart that would reflect different colors that you probably see in a rainbow or the colors obtained when white
light passes through a prism. Basically, the color wheel contains 12 shades and follows the basic principle of color theory. Primary colors need no
mixing! Once you have the primary colors in hand, there is no chance of mixing it with any other colors.
The primary colors may include red,

Sistema visual Humano: La percepciГіn de colores y el...
El modelo RGB (Red, Green, Blue) se basa en la sГntesis aditiva para producir diferentes colores mediante la suma de colores primarios. En el espacio
CMYK–CMY (Cian, Magenta, Yellow, Key) trabaja con la sГ
ntesis sustractiva de sus colores primarios y un key que representa el color negro pues la
combinaciГіn de los tres primarios no garantiza el color negro a pesar de sus propiedades de absorciГіn. Otros espacios como el YIQ (Iluminance,
In–phase, Quadrature) que se basa en el RGB y se aplicaba en la televisiГіn siglos atrГЎs, para pasar de blanco–negro a color. El modelo HSV (Hue,
Saturation, Value) distribuye los colores RGB en un cono hexagonal basado en propiedades fГsicas de la luz. Finalmente el modelo RYB (Red, Yellow,
Blue) que es ... Show more content on Helpwriting.net ...
Basado en el cГrculo cromГЎtico algunos de los significados del color son:
Colores anГЎlogos: Producen una sensaciГіn de armonГa. Por ejemplo el naranja da la sensaciГіn de creatividad y determinaciГіn.
Colores complementarios: Producen una sensaciГіn de agresividad cuando se utilizan en diferentes contrastes, Por ejemplo el verde oscuro representa
envidia, ambiciГіn.
Colores monocromГЎticos: Generan una sensaciГіn de unidad y confianza, siempre se usan sin combinaciones. Un ejemplo es el color blanco que
representa pureza y paz.
Como reflexiГіn final podemos decir que un fenГіmeno natural como el arco iris es un ejemplo visual de la descomposiciГіn de la luz blanca; donde el
color se manifiesta en los siete colores (rojo, naranja, amarillo, verde, azul, violeta), ademГЎs estГЎ la forma mГЎs clara de entender el espectro visible
que podemos percibir. El arco iris no solo es un fenГіmeno Гіptico producido por las gotas de lluvia y los rayos de luz solar, es la forma simbГіlica de
representar el color en la naturaleza.
Los resultados de los colores aditivos son reales dependiendo de su aplicaciГіn pues a simple percepciГіn no habrГЎ correlaciГіn entre las diferentes
combinaciones que se hacen con sus colores primarios Rojo, Verde y Azul. Para demostrar estos resultados se puede tomar focos luminosos con estos
colores primarios y combinar sus ondas de luz en cuarto oscuro para observar el

Image Retrieval Systems Essay examples
In today's revolution oriented environment, multimedia contents play a vital role in a wide range of applications, products and services. The high
usage of these contents demand efficient searching and indexing for users. This demand has drawn substantial research attention towards image
retrieval systems in the last few decades. Many great methods have been proposed, which offer numerous advantages like the following. (i)These
techniques are fully automatic and avoid the manual errors of text–based systems. (ii)These techniques avoid complex tasks like annotation and also
increase the accuracy of retrieval. (iii)These techniques also reduce the amount of garbage, that is, irrelevant images retrieved. (iv)These techniques,
while... Show more content on Helpwriting.net ...
Advancements in hardware and software technology are motivating both users and researchers to search for techniques that challenge and improve
the available industrial standards for retrieving images from huge archives. This can be performed either by developing new competitive
methodologies or by enriching the operations of existing methodologies as several applications require reliable models, that are efficient both in the
manner of finding similar images and reducing time complexity. The solutions provided in this research work are more compatible for retrieving
images from natural and photographic image databases and use an amalgamation of image processing and machine learning algorithms to perform
retrieval in a fast manner while improving both the fraction of retrieved images that are relevant to the find and fraction of the images that are
relevant to the query image that are successfully retrieved. The methodology of the proposed research work is shown in Figure 3.1 and the
architecture of the proposed CBIR systems is shown in Figure 3.2. Here, after obtaining the query image,

Rebelling Colors. Carlos Cruz-Diez, вЂњChroma" May Be...
Rebelling Colors
Carlos Cruz–Diez, "Chroma" may be interpreted as breaching the routine pattern of hue in everyday scale.
Carlos works is based on his groundbreaking color theory and art philosophy. Most of his works consist of site–specific installations and new
innovations in the field of color theory and developing new color patterns and applying them to everyday space. His gallery pushes my attention
towards his experimental work and focuses on multidisciplinary nature of his practice.
When I got into Carlos Chroma gallery in SCAD Museum of Art, you can see his inductive color phenomenon is structured. I can visualize two major
points out of the structure one is the use of color contrast and the other is Induced color. His choice ... Show more content on Helpwriting.net ...
After spending a little amount of time with the illustration, I understand that the third color was just an illusion. Which makes me think of the
process. Then I realized my phone, television, digital camera, etc. a great amount of color I perceive are not actually "present". What I see is a rich
and studied mixture of different primary light colors. The mix was made by the brain through my visual organs. This relates to the RGB system that
creates all perceptible colors from the mixture of red, green and blue. Human eye receptors are especially sensible to these three colors. Now the
RGB colors are provoking me to look into them in a much deeper sense and all his works have this strong representation of colors. These colors have
a strong impact on my emotions. Then to my surprise, I met with another piece of work from his gallery called Douches D'Induction Chromatique. It
is closely related to the phenomenon of retinal persistence. The installation has three semitransparent cylinders with three different RGB colors
basically red blue and green. Initially, I was completely blank and do not have any thoughts are assumptions about that artwork. At first, I entered the
Red tinted cylinder and decided to dedicate 2 mins for each cylinder with a different color. As the time runs, the impact of the red tint is increasing
faster with seconds. All I can see is red tented surroundings. The visuals which I was passing through were

El signifcado de los colores Essay
EL COLOR
"La visiГіn del color es una percepciГіn. Sin la mente no existirГa el color" Isaac Newton. El color es una propiedad de los cuerpos que depende de la
luz del entorno y de su intensidad; todo lo que percibimos sobre el color en los distintos objetos que nos rodean es en realidad una sensaciГіn creada
por nuestra mente con la ayuda de la luz que se refleja sobre los cuerpos y llega hasta nuestros ojos.
La luz del entorno (luz solar) esta compuesta por varios colores, Isaac Newton demostrГі esto hace muchos aГ±os, al descubrir que la luz blanca o luz
solar se descomponГa en siete colores (algunos documentos dicen que son seis, pero que Newton incluyo el cian para completar siete colores por que
se asume que el 7 tenГa un ... Show more content on Helpwriting.net ...
Nuestro sistema visual esta conformado por dos tipos diferentes de cГ©lulas receptoras los conos y los bastones; como nuestro sistema visual esta
basado en el tricromatismo (es decir que con tres colores se pueden generar todos los colores del espectro), en el interior de nuestro ojo se sitГєan los
conos que son los encargados de percibir el color, para los tonos rojos con mayor longitud de onda se utilizan los conos L (Large), para los tonos verdes
que poseen una longitud de onda media se utilizan los conos M (Medium), y para los tonos azules con menor longitud de onda se utilizan los
conos S (small), cada color puede ser representado estimulando en determinadas cantidades a estos tipos de conos; los bastones por otro lado no
permiten percibir colores, los bastones perciben principalmente las variaciones de luz por ejemplo en un lugar oscuro lo importante no es percibir el
color sino los objetos y su distancia, es allГ donde mejor trabajan los bastones.
Todos los colores que se pueden percibir por el ojo humano han sido dispuestos en un dibujo llamado el cГrculo cromГЎtico, en el cual Г©stos se han
dispuesto de tal manera que

Design Of Image Capture, Display, Colour Processing And...
INTRODUCTION
Aim: Throughout this laboratory we aimed to understand the processes used to achieve the development of image capture, display, colour processing
and finally object tracking. In particular, we aim to learn the I2C protocols to program the registers used to configure the camera, how to convert a
raw image to a full colour image, detect a selected colour and then track it.
Block Diagrams and images for the image processing steps:
The block diagram in Figure 1, illustrates the processing blocks that were created to being the image processing steps. It also shows the variables
created in the code and how they interact to produce the initial output of display an image from the camera to the screen. The clock for the 640x480
(frame size 800x525) display image runs at a frequency of 25.2 MHz and the clock for the camera runs at a frequency of 48.825 MHz to
synchronize the display. The I2C setup, involves using I2C protocols to program registers within the camera. It is a two wire protocol, where one wire
acts as the clock to pass from the FPGA to the device, and the other wire is the data wire which is bidirectional. The data wire is a top level entity and
requires the setup module to have 3 data connections. These are input data from the camera to the controller, output data from the FPGA controller to
the camera and output enable (tristate control), which determines whether the data is input or output.
Producing the image on the VGA display, involves using

Essay On Pan-Sharpening Techniques
The pan–sharpening technique, which aims at fusing a low–resolution multispectral (LRM) image and a high–resolution panchromatic (HRP) image in
order to produce a high–resolution multispectral (HRM) image, has become an effective pre–processing technique in many remote sensing applications
[1]. Many remote sensing applications such as land–cover classification, map updating, reconnaissance, etc. demands images with both high spectral
and high spatial resolution however most remote sensing satellites such as QuickBird, IKONOS, and WorldView–2 are not able to generate high
spectral and high spatial resolution images directly due to lack of bandwidth and limited on board storage. The pan–sharpened multispectral image
comprises of high... Show more content on Helpwriting.net ...
Then, the high–frequency component extracted from the HRP image is merged into the LRM bands. The fused image obtained through this category
preserves spectral information well. However, some spatial distortions may occur, such as blurring. In general, this category method offers a reliable
framework for further exploration, and the key is to extract sufficient spatial details from the HRP image with preserving the spectral information in
LRM image simultaneously. In the proposed fusion framework, IHS transform is used to separate intensity component from MS images firstly. Then,
SFIM and wavelet transform are applied to the intensity component of MS images and the Pan image to build the multi–scale representations which
include the low– and high frequency sub–images in different scales, While SFIM can effectively preserve images' spectral properties. Since the low–
and high–frequency sub–images obtained from wavelet decomposition have different information of images, we process low– and high frequency
sub–images with different strategies. At last, the inverse wavelet transform (IWT) and inverse IHS transform are applied to perform the fusion tasks.
The visual and statistical analysis on the experimental results for Worldview–2 images shows the effectiveness of our proposed method. The remainder
of this paper is organized as follows. Section II

What Is PHP Code Snippet Applications
PHP Code Snippet Applications Determine Dominant Color of Any Image: To see the colour of a certain image snapped or displayed online
attained through certain coding as shown below, has a few loops that properly detect pixels found in the image. In addition, a function that
provides a dominant colour image scenario has utilization using a coding method to perceive accurate determination of what exact colour the picture
is. function dominant_color($image) { $i = imagecreatefromjpeg($image); for ($x=0;$x<imagesx($i);$x++) { for ($y=0;$y<imagesy($i);$y++) { $rgb
= imagecolorat($i,$x,$y); $r = ($rgb >> 16) & 0xFF; $g = ($rgb >> & 0xFF; $b = $rgb & 0xFF; $rTotal += $r; $gTotal += $g;... Show more content on
Helpwriting.net ...
find resources and lists // like these on wikipedia: // // http://de.wikipedia.org/wiki/Whois // $servers = array( "biz" => "whois.neulevel.biz", "com"
=> "whois.internic.net", "us" => "whois.nic.us", "coop" => "whois.nic.coop", "info" => "whois.nic.info", "name" => "whois.nic.name", "net" =>
"whois.internic.net", "gov" => "whois.nic.gov", "edu" => "whois.internic.net", "mil" => "rs.internic.net", "int" => "whois.iana.org", "ac" =>
"whois.nic.ac", "ae" => "whois.uaenic.ae", "at" => "whois.ripe.net", "au" => "whois.aunic.net", "be" => "whois.dns.be", "bg" => "whois.ripe.net",
"br" => "whois.registro.br", "bz" => "whois.belizenic.bz", "ca" => "whois.cira.ca", "cc" => "whois.nic.cc", "ch" => "whois.nic.ch", "cl" =>
"whois.nic.cl", "cn" => "whois.cnnic.net.cn", "cz" => "whois.nic.cz", "de" => "whois.nic.de", "fr" => "whois.nic.fr", "hu" => "whois.nic.hu", "ie" =>
"whois.domainregistry.ie", "il" => "whois.isoc.org.il", "in" => "whois.ncst.ernet.in", "ir" => "whois.nic.ir", "mc" => "whois.ripe.net", "to" =>
"whois.tonic.to", "tv" => "whois.tv", "ru" => "whois.ripn.net", "org" => "whois.pir.org", "aero" => "whois.information.aero", "nl" =>

Case Study : Supply Chain Configuration
QUESTION 1: SUPPLY CHAIN CONFIGURATION Tehindo consists of various key players in their supply chain configuration, which helps with the
smooth and efficient flow of products and information throughout the company. Some of these key players in key positions include the various
factories across Indonesia, the distribution facilities such as the wholesalers and retails and raw material suppliers of tea leaves in which are at 3
plantations across Indonesia. OWP – One Way Produts However it is also important to note that the supply chain processes may vary and complexity
may increase with the variations between OWP and RGB, and also the several different market areas that the factories must supply. In the Return
Glass Bottle (RGB) processes, customers are encouraged to return the bottle to the factory in order for the factory to be able to produce the product.
In this case, the customer would have to return the bottles to the distribution facilities which will then be returned to one of the factories for
production. Added complexity is also evident when more than one factory is required to supply the whole market area, such as two factories in
Sumatera are required to supply the whole market area on Sumatera Island. This makes it more complex as it thereby requires the factories to evenly
allocate their finished products to satisfy the demand of consumers, where inventory levels should be kept even and not overflowing in an excess of
stock. QUESTION 2:

Number Plate Affirmation Methods
NUMBER PLATE ACKNOWLEDGEMENT: Number plate affirmation is less requesting way for vehicle unmistakable verification. In this early the
photo of vehicle whose number plate is to be perceived is to be discovered by using advance camera. Discretionary the number plate is isolated by
immediately changing over rgb picture. The picture of the vehicle whose number plate is to be distinguished is caught utilizing the advance camera.
Next the number plate is removed by right of the bat changing over rgb image I.e., the caught picture to gray scale image with the specific goal to
encourage the plate extraction, and increment the handling speed. Shading picture is produced by advance camera is changed over to dim scale picture
utilizing. The essential

Automation and Intelligence Have Changed Agriculture
Agricultural production has increased manifold due to the advent of automation and intelligence in various stages of a crop's life cycle. Introduction of
such processes has led to a significant increase in the output and reduction in the costs incurred in manual labour and other farm equipment. A scheme
where machine vision is implemented can be used to perceive the position of a fruit for harvesting. This technology has been used to develop both
land and aerial based systems for fruit detection and harvesting. Machine vision in harvesting is broadly based on visual cues and properties of fruit.
Machine vision based systems have an advantage as apart from recognition of colour, texture and shape of any object, numerical points for the object
are also defined.
The aim of fruit detection is characterized by the following desirable outcomes:
1.Detection of each distinct fruit.
2.Discrimination of the detected fruit from the other parts of the foliage.
3.Localisation of the fruit.
Since its implementation to crop harvesting and other agricultural practices, a lot of attention has been given to development in machine vision systems
to achieve the abovementioned outcomes. But, all of it has been limited to the field of research with very little commercial outlook. Though, research
outcomes may look bleak, it is a well–accepted fact that to achieve very good incidences of fruit detection a robust machine vision system is essential.
This in turn will develop into a robot

A Brief Look at the Gesture
The gesture
Gesture is the natural, nonverbal way that human can use to communicate with each other, and recently interface with computers and devices in order
to have control upon them besides conventional input devices such as keyboard, mouse, and joystick. In general, gestures can be categorized into static
and dynamic.
A static gesture refers to the position and poses of hand without any movement, which can be represented by a single image.
A dynamic gesture describes the hand movement, which can be determined through a set of successive images or video frames (3D Hand Gesture
Recognition Based on Sensor Fusion of Commodity Hardware).
2.3.2 Data acquisition
This stage is responsible for acquiring and collecting gestures from the human (usually hand gestures). There are many technologies that can be used to
acquire and capture the gestures, and then convert them into a digital form (Sensors for Gesture Recognition Systems) in order to be understandable
by digital devices. These technologies vary in terms of capability and accuracy to get the gestures. The following are some technologies used for
gestures acquisition.
A.Cameras: are the main gesture captured technologies used in vision–based gesture recognition systems. There are different types of cameras such as
color stereo cameras (using two cameras to obtain a left and right stereo image), 2D cameras, 3D cameras, and thermal cameras. These cameras can be
used to capture human gestures and send them to

Annotated Bibliography On Color Barcode
II.LTERATURE REVIEW
1)Homayoun Bagherinia, Roberto Manduchi,had proposed the for University of California, Santa Cruz"A novel approach for color barcode decoding
using smartphones"
The use of colors increases the information storage capacities in barcodes. Increasing the number of color stolen code information makes the
decoding a challenging task due to the dependency of the surface color on the illuminant spectrum, viewing parameters, printing device and material.
The decoding becomes more challenging if a mobile phone as a decoding device is used due to the capture of image from different distances as well
as angles. We present an iterative decoding algorithm that decodes the colors of all barcode patches across the barcode by ... Show more content on
Helpwriting.net ...
5) Amin Motahari , Member, IEEE, and Malek Adjouadi , Member, IEEE had Praposed the work for "Barcode Modulation Method for Data
Transmission in Mobile Devices" In this study, a new approach for data modulation in 2–D barcodes is introduced, and its performance is evaluated in
comparison to other standard method of barcode modulation. In this new approach, orthogonal frequency–division multiplexing (OFDM) modulation
is used together with differential phase shift keying (DPSK) over adjacent frequency domain elements. A specific aim of this study is to establish a
system that is proven tolerant to camera movements, picture blur, and light leakage within neighboring pixels of an LCD.
III. THE PROPOSED PICODE SYSTEM In this section, the proposed PiCode system is described with an emphasis on the novel aspects of the image
modulation and demodulation process. For the modulation part the details of the modulation scheme will be presented to illustrate how PiCode
preserves the perceptual quality of the embedded image while minimizing the interference of the latter incurred on the modulation waveform. For the
modulation part, the algorithms for performing discrete cosine transform, block division will be described.
A.Image modulation
The various steps in image modulation are
Input image and message
Convert RGB to YUV
Block contrast
Divided into inner and outer

Detection Of Optic Disc Location
Automatic Detection of optic disc location in Color Fundus Retinal Images Using Circle Operator
Abstract–In this work a method is proposed to detect optic disk (OD) automatically in color retinal fundus image without using background mask and
blood vessels. Based on the properties of OD, an idea of circle operator is presented here. This method has been applied on six public databases and the
promising results are obtained. The experimental results indicate that this proposed method of automatic OD detection has good accuracy and is also
time efficient.
In modern ophthalmology, detection of optic disk is a very important step for retinal image analysis. It is one of the main feature of extracting the
anatomical structure of the retina as illustrated in Fig. 1(a). Optic disk can be defined as the circular brighter region in retinal fundus image where
blood vessels converge and optic nerve is formed. OD detection is very indispensable for the computer aided diagnosis of different eye diseases such as
glaucoma detection and diabetic retinopathy [1]. Fig. 1(b) represents the fundus image with retinal lesion.
Many optic disc detection methods have been proposed ear–lier. In [4]–[6], image brightness based methods are proposed. In these methods it is
expected that the OD usually resembles according to the brightest pixels within fundus images. In [7] and [8], image variation based methods are
proposed based on the statement that the OD has a high image variation due to the

Zinc Mossy Lab Report
In this experiment, the scientists are testing which amount of zinc mossy would make a few normal cleaned pennies change their colors into silver
when they are placed in the boiling solution of zinc sulfate and water and then turn their colors into the brightest yellow (gold) when they are exposed
directly to heat,. The independent variables in this experiment are the amount of zinc and zinc sulfate measured in gram and the dependent variables is
the shades of yellow (compared in decimal R,G, B code) of the penny after all steps of the experiment. The constant of this experiment will be the
temperature of the tap water used to boil the solution, which is 100В°C and the temperature of the hot plate used to heat up the silver penny, which is
about 300В°C. And the controlled of this experiment is the pennies with the brownish color. ... Show more content on Helpwriting.net ...
The zinc mossy (metal) does not react with water because it forms a protective layer of insoluble zinc hydroxide, Zn(OH)2, but zinc sulfate on the
other hand, dissolves in water, forming zinc ions, Zn+2 and sulfate ions, SO4–2. The solution then will be boiled up and pennies are added into the
solution, touching the zinc mossy. The zinc metal will dissolve and release electron that would go into the penny and give it a negative charge. The
zinc ion in the solution is now attracted to the pennies, which then will gather and form a thin layer of zinc metal around the pennies, giving it a
silvery color (NurdRage,

Content Based And Model Based Mining Of Data On Image...
CONTENT BASED AND MODEL BASED MINING of DATA ON IMAGE PROCESSING
Chandana V S
Dept. of Computer Science & Engineering
M.Tech– Information Technology
NIE, Mysuru chandanavs05@gmail.com Uzma Madeeha
Dept. of Computer Science & Engineering
M.Tech– Information Technology
NIE, Mysuru uzmamadeeha9@gmail.com Abstract– As there is vivid implementations in the multimedia technologies, users find it complex for
retrieving information with traditional image retrieval techniques. The CBIR techniques are becoming an efficient techniques for exact and fast
retrieval of images. CBIR is the technique which uses visual features of image such as shape, color, texture etc, to search the image based on the user
requirements from large database according to the user request in the form of a query. In this paper various techniques of CBIR such as k–means
clustering, k–nearest neighbors Algorithm (KNN), color structure descriptor (CSD), Text based image retrieval (TBIR) techniques which increase the
effectiveness of fast retrieval are discussed and analyzed.
Keywords– cibr, tbir, image retireival, k–means clustering
I.INTRODUCTION Image retrieval is extracting an image out of particular larger data set. The traditional image retrieval is as shown in the fig
below where the query image whose image is to be retrieved is carried the feature extraction process and compared the feature extracted image in the
database and then compared. This retrieved and database image if matched

Public Relations Assistant Experience Paper
The aim of this paper is to discuss and elaborate on the experience, insights, value, and practical training gained throughout my internship as a Public
Relations Assistant at Louisiana Delta Community College with the Director of Public Relations Mrs. Darian Atkins. As the director, she develops and
executes strategies that create and uphold a positive public image for the college and Chancellor Dennis Epps by working and forming relationships
with various members of the media, government, and public. As the assistant, I acted as the support for Mrs. Atkins by researching to construct stories
and press releases, completing administrative tasks, and photographing events.
The paper is divided into three points of learning. The first point ... Show more content on Helpwriting.net ...
In addition, Mrs. Atkins enlightened me that with any friction, you must have a plan to maintain the company's status. For example, she made a chart
on the steps to take to ensure that the college's image did not diminish and that including faculty and staff is critical. Although confidentiality is good,
you cannot misinform the media because that could lead to a disaster.
Second Point: Adobe Creative Suite
My first attempt with Adobe Creative Suite was during my practicum. Ms. Castillo showed me a few tasks in Photoshop, but entering the intern, I was
introduced to more such as InDesign and Illustrator. Mrs. Atkins ordered me to use only Adobe because it was a great technical skill to have and most
businesses use it today.
Before using it on my own, she had me examining her tool with the program to get better knowledge of it. One day after an event, we went to edit
photos in Photoshop to post them on Facebook. During editing, she explained when printing an image, you must save it in CMYK to make the
image's colors stay true. CMYK refers to the four inks used in some color printing: cyan, magenta, yellow, and key (black). However, if you are posting
it for social media purpose, it is best to save in RGB. The RGB color model is an additive color model in which red, green and blue light are added
together in various ways to reproduce a broad array of colors.
Not

Disadvantages Of Mechanical Keyboard
Best Mechanical Keyboards and Buying Guide The market for mechanical keyboards is huge. In recent years, more manufacturers have discovered
the computer accessories market. Amazon alone has more than 1,000 mechanical keyboards on offer. With all the variety, it's very hard to keep
track. Therefore, it is not possible to buy a good model without experience and test reports. Here is where we come into play. We compare and test the
different models for you. We create test reports for you. We have not received the products free. Neither have they paid for the reviews. The Brief
Essentials A mechanical keyboard uses switches/buttons with springs. Conventional keyboards use rubber or silicone. They have a longer lifespan than
normal "Rubberdome"... Show more content on Helpwriting.net ...
You get customizable lighting up to 16.8 million colors to personalize the Ryos MK FX mechanical keyboard. You can customize your game while
playing and respond to changes immediately without leaving your game. You also have the Easy Shift [+]– Technology available. This allows you to
assign two different commands to your keys, which can be of great use in the game. Even the technical hardware is convincing. Inside the keyboard,
they used a fast processor with error–free data transmission. Your macro inputs transmitted here without any implications in the game. At the end of
the day, the mechanical buttons on the Ryos MK FX designed and built for more than 50 million keystrokes. Roccat Ryos MK FX RGB Advantages:
RGB lighting with many effects Beautiful, ergonomic wrist rest Excellent for typing and solid workmanship Macro Presets for Games and Office
Disadvantage: High price How we tested the Mechanical

What Are The Advantages And Disadvantages Of A Bitmap Vs....
In the presently highly digital world we live in, there are essentially two types of graphic "files" used, the bitmap and the vector graphics. Both have
an overall similar principal but differ in various sub–arrays, which bring along each of their own advantages and disadvantages. To begin with, the word
bitmap originated in the year 1973, and came to be by adding the words bit + map which literally means a map of bits, which perfectly describes the
nature of a bitmap graphic. A bitmap is composed of thousands of pixels, each of which has it's own fixed position and can be individually edited,
which forms an overall bitmap graphic/image. Bitmaps are largely the standard for Internet graphics but however contain disadvantages. Bitmaps are
largely ... Show more content on Helpwriting.net ...
When written, the width measurement is always written first. Aspect ratios all have to deal with the amount of empty space you are willing to have
surrounding the "main subject". Awareness of the different aspect ratios provided by the device in hand may lead to better compositions in the image.
The difficulties with aspect ratio are that when there is an inconsistency, one must either crop the image or compromise the size of the image.
Furthermore, when the aspect ratio of a particular image is not compatible with the screen, upon which it's displayed, black stripes are used to adjust
the difference without compromising the

The Book Of Red By Anne Carson
When people reach a certain age they start finding a place in the world that fits them the best. Kids start associating themselves with people just like
them or similar to them. However sometimes those people are not around growing up or the kids have yet to reach their true self. In the book
Autobiography of Red by Anne Carson, the protagonist Geryon, is a unique type of person that is trying to do just that. Geryon is a red, winged
dragon; throughout the book he learns more about himself and how to become his authentic self. While it may seem easy for the readers to identify
Geryon as a red winged mythical beast, he himself does not know who he is and works through a hard life looking for the answer to that question.
Geryon grows and reaches his authentic identity by dealing with old flame Herakles, meeting teachers who help him along the way, and learning from
Ancash a new perspective of himself.
Growing up Geryon did not have an easy life, however he met a person that made his life worth living, Herakles. Herakles is the new guy in the
town and he and Geryon immediately become fast friends, then something more, "His voice had an edge. He liked to see Geryon happy" implying
Herakles's want for Geryon to be happy (Carson 53). Geryon and Herakles have an interesting relationship because Herakles is the first to pay close
attention to Geryon, and show him he really does care. Geryon never had that kind of affection so he goes into the relationship headfirst. With

Skin Color Detection
Skin color detection is considered one of the most popular techniques of segmentation and tracking because of its simplicity. The idea behind using
this technique is that skin color is different from other object's color and then can be used to identify human gesture part. There are several color
spaces such as RGB, YIQ, YUV, and generic color model that are used to distinguish skin pixels from non–skin pixels through comparing a predefined
skin color model (skin pixels) with pixels of the input image. Figure 2 shows skin color technique using YIQ and YUV color spaces.
Thermal camera is an infrared camera that is able to detect infrared radiation emitted from the human body (temperature). It can determine the human
gesture region depending on the human temperature while background is neglected. Figure 3 shows human interaction captured by thermal camera.
This technique is used to track and detect moving gesture parts depending on the difference between two or three consecutive video frames. The
pervious image (frame) is subtracted from the current image (frame) in order to obtain the moving part.
A.Background subtraction
The idea behind this technique is to set a background as a reference or model and then compare the current frame with the reference background in a
pixel–by–pixel manner to detect the moving foreground object. The background model is updated with a new image from time to time in order to track
dynamic changes. Figure 4 shows background subtraction

Verbal And Non Verbal Communication
Communication is the art of transmitting ideas, thoughts ad knowledge from one person to another. Communication need not essentially mean verbal
communication. Communication can be verbal and non–verbal. Non–Verbal Communication is the practiced means of interaction amongst the audibly
challenged community. This audibly challenged community uses a region or country specific sign language to communicate their ideas and wants.
Sign Language Translators are essential to bridge the communication gap between the audibly challenged community and the rest of the world. Today
a lot of systems are being funded and built to computerize the work of Sign Language Translator. These Sign Language Recognition Systems are
Learning Systems. When the system fails to recognize the word, the system attempts to learn the sign or gesture and recognizes when the same sign
is performed later on. There are many different types of Sign Languages and as mentioned these languages are very region specific i.e., Indian Sign
Language (ISL), American Sign Language (ASL), etc. Each of the sign language holds a large collection of signs or gestures corresponding to a
particular. Many a time, there might be different gestures for the same word. Major issue with these Sign Languages is that the information available
about the gestures are multichannel. This paper focuses on recognizing Indian Sign Language. In ISL there has been no standardized dictionary as of
date to use and build Recognition Systems. The

Oral Cancer Analysis Using Tongue Image Essay
Here, the Fig 3(b) Patient with Oral Cancer. Diseases caused by excessive use of tobacco and alcohol consumption leads to the difference in tongue
color. Thus tongue can be characterized with different assesses. More detailed study on the causes of the cancer can be done in the ref([7],[9]). The
common assessments of the tongue can be detailed as follows Fig 2: Tongue with different shape characteristics
Width: A wide tongue on the whole shows a composed physical and mental character. A lack of physical flexibility with noticeable strengths and
weaknesses is depicted by the narrowness of a tongue. They may be very sharp thinkers but usually have a narrow view or opinion. A generally loose
and expanded physical ... Show more content on Helpwriting.net ...
Blue or purple color suggests the stagnation of blood circulation and a grave fading of the part of the digestive system that is connected to the zone of
the tongue. Internal conditions can be understood by analyzing the color on the underneath of the tongue. As a summary, the colors and surplus of a
white patch or a red patch on the soft tongue tissues designates a fading of the immune capacity of the blood vessels and shows that the patient is
suffering from oral cancer. More detailed study about the characteristics can be done in ref[8].
Fig 3:(a)Normal Tongue, (b) Diseased Tongue
Image Segmentation
The usual technique is to find points on the floor of the target image, which is used as the base of image, and then to give an initial two–dimensional
curve and make it astringe to the edge of the target according to dynamics mechanism. This approach is appropriate when the general form of the
target is fixed. But human tongue is not always flat when it is extended out of the mouth. There will be some variations in the forms and therefore it is
not suitable for this algorithm. We adopt the component H (Hue) and V (Value) of HSV space to decide the initial position of tongue.
Then level set algorithm technique is implemented to obtain the better segmentation results.
Fig 4:Region of interest to diagnose the

Pt1420 Unit 4.1 Data Paper
4.1Data Information This thesis work is used 4 images named Pound1.jpg, rupee 2.jpg, dollar 3.jpg, and yen 4.jpg as the reference images. Figure
4.1: Different currencies (a) pound 1.jpg (reference image no. 1) Figure 4.1:(b) rupee 2.jpg (reference image no. 2) Figure 4.1:(c) dollar 3.jpg
(reference image no. 3) Figure 4.1:(d) yen 4 (reference image no. 4) 4.2Methodology The basic principle of this algorithm is to recognize the input
paper currency. First of all acquired the image from a particular source. As in this thesis we use for reference images. System read the particular image.
Then resize the image. After that the color separator convert the image into RGB to Gray scale and then in binary image. After that the system use
color noise median filter. The currency length detector detects the length of the currency. Using the feature extraction techniques the system detect the
particular feature of that currency and then the system use pattern matching algorithm to math that particular feature. The input image match with
particular database image and according to that we find the currency. In this way this thesis design a automatic system in which we can recognized the
paper currency.... Show more content on Helpwriting.net ...
It contains many blocks which we will discuss below. Figure 4.2: Block Diagram of paper currency reorganization system The steps in block diagram
are elaborated below: 1.Read Image The system can read not only JPEG (JPG), but others. But this will make the image large 2.Resize

Emotion Detection Using Sobel Filtering And Retrieving...
Emotion Detection using Sobel Filtering and Retrieving with Sparse Code words Mahevish Fatima Mohammed Gani
Study Branch: Computer Science and Engineering
Designation: Student
Contact Number: 9637064965 Maharashtra Institute of Technology, Aurangabad, Maharashtra
ABSTRACT :
Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most
expressive way to display the human's emotion is through facial expression analysis. This paper presents and implements an automatic extraction of
facial expression and emotion from still image. There are steps to detect the facial emotion; (1) Preprocessing,skin color segmentation and edge
detection using Sobel filtering and (2) Verifying the emotion of characteristic with Bezier curve.Retriving emotion using sparse codewords which are
used to analyze this results in medicine, and enhancement in CBIR.
To evaluate the performance of the proposed algorithm, we assess the ratio of success with emotionally expressive facial image database. Experimental
results shows average 66.6% of success to analyze emotion.
Keywords: Facial Expression,Preprocessing ,Skin Color Segmentation,Sobel Filters,Bezier Curve, Attribute enhanced sparse codeword.
I. INTRODUCTION:
Emotion plays an important role in human communication and therefore also human machine dialog systems

Analysis Of Rob Gonsalves Painting: The Sun Sets Sail
When I was giving a presentation in sixth grade, I proudly proclaimed to my English teacher that "Everything can be art!" Now of course, I got
some strange looks from her as she tried to argue that not everything could be art. Nevertheless, I still stand by my definition that anything can be
art, as long as the viewer finds purpose or interest within it. It doesn't have to be a "good" feeling, since shock art exists; it just has to draw one's
attention in some way. Most art of the time can be seen as shocking or inappropriate, mainly because it's commentary about the world around us.
Because of that I feel it is important to look at art from all time periods, as we can learn a lot about beliefs and challenges facing those at the time. To
make... Show more content on Helpwriting.net ...
This is extremely important in film, as everything in film is constantly moving. To draw attention to a subject they must differ some way from the rest
of the environment. They do so not only to draw our eyes into the image– as interesting as it may be– but to draw attention, give association to, or give
insight to the feelings of a character or object as well. In the case of Amelie by Jean–Pierre Jennet, the color scheme is complementary with each other.
Amelie and important characters are always clad in red when the world around them is colored green, or vice versa. The audience is then drawn to
these characters and will pay heavy attention to what these character might do next. In one panning shot, Amelie is skipping rocks on a bridge.
Although our eyes naturally gravitate towards her because she is positioned in the middle of the screen, her vibrant red clothes let her stand out even
more from the green background. In another shot, Amelie wears a green dress while her house is covered completely with muted red wallpaper and
objects. A few scenes later, and now both her lover and her stand out in a green world with red clothing. In doing so, Jean–Pierre Jennet is able to keep
the readers attention on Amelie and other main characters as they move through the always moving streets of Paris.

Taking a Look at Basmati Rice
III.METHODOLOGY
Rice grains of two Indian Basmati varieties namely; 1121 Basmati Rice and Sharbati Basmati Rice were taken up for quality analysis task. The basic
steps in the quality analysis of Indian Basmati rice grains using Top–Hat Transformation are as follows:
a)Image Acquisition.
b)Convert RGB to Gray scale image.
c)Perform Morphological operations.
d)Apply Top–Hat Transformation on the image.
e)Image segmentation using Thresholding method.
f)Parameter calculation.
g)Histogram creation.
h)Compute Threshold values.
i)Display the count for Normal, Long and Small rice grains.
The block diagram for quality analysis of Indian Basmati rice grains using Top–Hat Transformation is shown in Fig1.
Fig1. Block Diagram for Quality Analysis of Indian Basmati Rice Using Top–Hat Transformation
1) Image Acquisition: The first step in Image Processing is Image Acquisition. The images of Indian Basmati rice grains samples are acquired with a
color Digital Camera of Nikon D3200 as shown in Fig2 and Fig3. The black background was used. The images acquired were 4512*3000 pixels in size
i.e. 4512 pixels Width and 3000 pixels Height. Images were captured and stored in JPG format. Through data cable these images has been transferred
and then stored in hard disk. Fig2. 1121 Basmati Rice Fig3. Sharbati Basmati Rice
2) Convert RGB to Gray scale Image: The acquired image is color image so we convert it into Gray scale as the color information is not of much
importance. Use

Chapter 3 Technical Back Ground
Chapter 3 Technical Back Ground
Controlling Mouse 1.1Moving Mouse Cursor We utilized the forefinger as a cursor controller to control mouse cursor. We utilized two distinctive
methodologies for moving the mouse cursor. The principal strategy is mapping cursor control. It implies that the pointer on a camera screen can
position maps to a desktop screen position. At the end of the day, the mouse cursor is put on the desktop window alongside the forefinger tips position
showed on the camera screen position. This strategy has an issue. In the event that the determination of the desktop window has a higher determination
than the camera determination, then the cursor position can 't be precise in light of the fact that when the camera determination believers to the
desktop window determination we lose middle of the road esteem. We expect the proportion of hopping pixel is up to 4 pixels. The second strategy is
weighted pace cursor control. We get a distinction of the finger of the present picture and the past picture and process the separation between the two.
Next, we move the mouse cursor if the hole between the two finger pictures (present and past casing) is far then the mouse cursor moves quick or, if
the hole is close then the cursor moves moderate. This calculation additionally has an issue. Since we are working with continuous picture preparing,
the customer machine ought to be quick. The picture information rate is 15 outlines for every second and we require

Ceramic Fragments Found At The Tepco Beach
In this project, we are asked to analyze ceramic fragments found at the TEPCO beach, which, in the mid–20th century, used to be a dump site of the
Technical Porcelain and China Ware Company (TEPCO). Though ceramics seem rather mundane, as Deetz's study on the ceramics used in the colonial
American show, they reveal quite a bit to the careful eyes: he found out that people used plates symbolically as displays of status rather than utensils,
and the ceramic sets after the 18th century reflected the Georgian mindset of individuality and discipline (Deetz 1996). I am also interested in studying
ceramics in a way that relates to and reveal their meanings – a post–processual, emic orientation more directly seen in the Gage house study in which...
Show more content on Helpwriting.net ...
Upon initial observation, I noticed that the special pieces seem to have less visual contrast in general – a good, testable hypothesis that I will try to
verify. Methodology I wanted to figure out specifically what data are the most useful in answering my research question: just like Wilkie did in her
Mardis Gras research in which she determined a distinct set of data for each of her research question (Wilkie 2014). With that in mind, I decided to
simply focus on the data needed to verify my rather straightforward hypothesis, that the special pieces have less visual contrast than the standard ones
in general. There are two attributes, as evident from the hypothesis, that I would need to know for each artifact: its "specialty" – whether the piece has
special or standard decoration – and its visual contrast. Given the visual nature of both attributes, I decided that the only data I would need to collect
are pictures of my artifacts. Next, I needed to decide how I would analyze the photos in order to extract the two attributes, specialty and contrast, so
that I can test my hypothesis. A way of classifying specialty was determined by me as such: while the standard pieces have decorations

Synthesis of Cinnamaldehyde
Vidallon, Mark Louis P.Date Performed: February 20, 2012 CHEM44.1 2LDate Submitted: March 12, 2012 MIXED–ALDOL CONDENSATION
Synthesis of Cinnamaldehyde I. Introduction Cinnamaldehyde, cinnamic aldehyde or 3–phenyl–2–propenal is the major constituent of cinnamon oil,
extracted from several species of Cinnamomum (C. verum, C. burmanii, C. cassia), under the family Lauraceae, a group of evergreen trees. Cinnamon
bark (particularly C. verum) yields 0.4–0.8% oil, which contains 60–80% cinnamaldehyde, 4–5% sesquiterpenoids (О±–humulene, ОІ–caryophyllene,
limonene and others), eugenol, cinnamyl acetate, eugenol acetate, cinnamyl alcohol, methyl eugenol, benzaldehyde, benzyl benzoate, cuminaldehyde,
monoterpenes (linalool, pinene,... Show more content on Helpwriting.net ...
To characterize the synthesized product using its boiling point, results of simple chemical tests and derivatization reactions, along with the
determination of the melting points of the hydrazones and comparison of the hydrazones using their RGB values. II. Materials and Methods A.
Reagents The following are the reagents were used in the experiment: Benzaldehyde Acetaldehyde 15% sodium hydroxide solution Sodium chloride 95
% ethanol solution 40% sodium bisulfite solution 2, 4–dinitrophenylhydrazine Nitric acid Ice B. Apparatus and Equipment The following are the
apparatus and equipment were used in the experiment: 50–mL round–bottom flask 50–mL beaker 10–mL graduated cylinder 10–mL pipet Pasteur pipet
Micro distilling flask Test tubes Evaporating dish Thermometer Bunsen burner Microreflux Watch glass Iron ring Iron clamp Iron stand Separatory
funnel Wire gauze Hot plate Electronic top loading balance Fisher–Johns melting point apparatus III. Schematic Diagrams C. Synthesis of
Cinnamaldehyde (in round–bottom flask) 3.06mL – cool in ice bath + 3.00mL 15% NaOH + 0.50mL dropwise with swirling + 3.00mL 15% NaOH +
0.50mL dropwise with swirling + 3.00mL 15% NaOH + 0.68mL dropwise with swirling– reflux for 10–15 minutes – cool to room temperature – cool
in ice bath – separate layers Organic layer , very minimal (in 10–mL graduated cylinder) Aqueous layer very minimal, unreacted H2O with

A New Robust And Fully Automatic Technique For Calibration...
Abstract. The paper presents a new robust and fully automatic technique for calibration of three–dimensional (3D) freehand ultrasound. 3D Freehand
ultrasound involves mounting a position sensor on a standard probe. The echo graphic B–scans can be localized in 3D, and can be compounded into
dimensions. On the other hand, especially for quantitative use, this process requires a calibration procedure that fixes its accuracy and practicality.
Calibration aims at defining the transformation (translations, rotations, scaling) among the coordinates system of the echo graphic images and the
coordinate system of the localization system. We put forward a robust and fully automatic calibration method based on the Hough transform and robust
estimators.
Index terms: robotic ultrasound, autonomous acquisition, rgb–d camera, B–scan, robustness. INTRODUCTION
In this work, we aim at closing the gap in the workп¬‚ow of existing robotic support systems in order to allow for completely automatic 3D ultrasound
acquisitions using a robotic imaging system. We present the pathway towards an autonomous robotic ultrasound system to help clinicians during
interventions by performing multiple and especially reproducible examinations based on pre–interventional planning. As it is mostly non–invasive and
has a real time capability and a comparatively low cost nature, 2D ultrasound is popular. Its major shortcoming is its weak capability of issuing
quantitative
accurate

The Color Red In Beloved By Toni Morrison
The color, red, symbolizes a variety of different meanings like the quote from an unknown source, "Red, the single most dynamic and passionate
color, symbolizes love, rage and courage. Demanding attention, red has great emotional impact. Those who select red are aggressive, impulsive and
strive for success." In the novel, "Beloved," by Toni Morrison, the author demonstrates the color red for the future, memories, and hope. The main
character Sethe, had a baby girl named Beloved, after her youngest daughter, Denver. Before, she was able to show her love and affection to
Beloved, she ended her "misery and fate" by slitting her throat open. In 124, the house was considered "spiteful and full of a baby's venom". Due
to the killing of her baby, Beloved haunts the whole house with a quote from the novel, "Now the iron was back but the face, softened by hair,
made him trust her enough to step inside her door smack into a pool of pulsing red light." (Morrison, 11). The glowing aura is significant to the
tragedy that took place in 124. At the beginning of first chapter, it already gives the readers the sense of what took place and the imagery of the
situation. The quote represents how the baby ghost is ready to react to a stranger, which is Paul D. from Sweet Home, a slave plantation. Another
quote form the author, "The red was gone but a kind of weeping clung to the air where it had been." (Morrison, 11). With the color red, it can
represent a variety of emotions such as, fear,

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