The HSI (hue, saturation, intensity) color model represents color in a way that is more perceptually relevant to humans compared to the RGB (red, green, blue) model. Hue represents the color (such as red, yellow, blue), saturation represents the amount of gray, and intensity represents the brightness. The HSI model separates intensity from color information. Converting an image to HSI allows color manipulations like changing hue or saturation before converting back to RGB for display.
This presentation describes briefly about the image enhancement in spatial domain, basic gray level transformation, histogram processing, enhancement using arithmetic/ logical operation, basics of spatial filtering and local enhancements.
This slides about brief Introduction to Image Restoration Techniques. How to estimate the degradation function, noise models and its probability density functions.
This presentation describes briefly about the image enhancement in spatial domain, basic gray level transformation, histogram processing, enhancement using arithmetic/ logical operation, basics of spatial filtering and local enhancements.
This slides about brief Introduction to Image Restoration Techniques. How to estimate the degradation function, noise models and its probability density functions.
This slide gives you the basic understanding of digital image compression.
Please Note: This is a class teaching PPT, more and detail topics were covered in the classroom.
This slide gives you the basic understanding of digital image compression.
Please Note: This is a class teaching PPT, more and detail topics were covered in the classroom.
basic information about image files and why we use lots of kinds image file formats.
Some key terms like pixels, pixel depths, resolution, monochore, grayscale and colored images which will be used in the next sections of the presentation.
Basic compression methods which are used in image compression and give information about lossy/lossles images.
JPEG, PNG, GIF and BMP detailed
The GIF Element: Making, Finding, & Using GIFs to Great EffectShaelyn Amaio
In this workshop for DPLAFest in Washington, DC, we explored the GIF in its natural habitat: the internet. But first, some background: What are GIFs? How did they develop? How do you say “GIF”?
We're looking at how to use GIFs, when they’re most successful, the challenges associated with using them, and how to make, find, and use them yourself. We talked about the ins and outs of some content sources, including resources in the DPLA, and reviewed a few apps and programs you can use to make and share them yourself. And then, with some audience input, we demonstrated how to make a GIF using open source images to tell a joke, punctuate a thought, or convey an emotion. A picture is worth a thousand words? Well, a GIF is worth a million.
Please note: Download the file to see all the awesome, animated GIFs in action!
full color,pseudo color,color fundamentals,Hue saturation Brightness,color model,RGB color model,CMY and CMYK color model,HSI color model,Coverting RGB to HSI, HSI examples
color image processing is divided into two major areas:
1. Full Color image Processing
2. Pseudo Color image Processing
It Includes Color Fundamentals,Color Models,Pseudo color image Processing,Full Color image Processing,Color Transformation.
Do Not just learn computer graphics an close your computer tab and go away..
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Here I presented my presentation slide about color image processing.
In color image processing, an abstract mathematical model known as color space is used to characterize the colors in terms of intensity values. This color space uses a three-dimensional coordinate system. For different types of applications, a number of different color spaces exists. The saturation is determined by the excitation purity, and depends on the amount of white light mixed with the hue. A pure hue is fully saturated, i.e. no white light mixed in. Hue and saturation together determine the chromaticity for a given colour. Finally, the intensity is determined by the actual amount of light, with more light corresponding to more intense colours[1].
Achromatic light has no colour - its only attribute is quantity or intensity. Greylevel is a measure of intensity. The intensity is determined by the energy, and is therefore a physical quantity. On the other hand, brightness or luminance is determined by the perception of the colour, and is therefore psychological. Given equally intense blue and green, the blue is perceived as much darker than the green. Note also that our perception of intensity is nonlinear, with changes of normalised intensity from 0.1 to 0.11 and from 0.5 to 0.55 being perceived as equal changes in brightness[2].
Colour depends primarily on the reflectance properties of an object. We see those rays that are reflected, while others are absorbed. However, we also must consider the colour of the light source, and the nature of human visual system. For example, an object that reflects both red and green will appear green when there is green but no red light illuminating it, and conversely it will appear red in the absence of green light. In pure white light, it will appear yellow (= red + green).
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
2. BASIC CONCEPT OF LIGHT SOURCE
• The characteristics generally used to distinguish
one color from another are brightness, hue, and
saturation.
• Hue is an attribute associated with the dominant
wavelength in a mixture of light waves.
• Hue represent dominant color as perceived by an
observer.
• Saturation refers to the relatives purity or the
amount of white light mixed with a hue. The pure
spectrum color are fully saturation.
3. WHY WE HAVE NEED OF HSI MODEL?
• RGB AND CMY model are suitable for hardware
implementation.
• These model are easily perceptive to human eye.
• But they are suitable for describing color in terms
that are practical for human interpretation.
• Example- one doesn’t refer to the color of an
object by giving the percentage of each of the
primaries composing its color.
• We describe it by hue, saturation and its
brightness
4. Basic of HSI MODEL
• The HSI (hue, saturation, intensity) color model,
decouples the intensity component from the
color-carrying information(hue and saturation) in
a color image.
• The HSI model is an ideal tool for developing
image processing algorithms based on color
descriptions that are natural and intuitive to
humans.
5. The HSI model uses three measures to
describe colors:
• Hue: A color attribute that describes a pure color
(pure yellow, orange or red)
• Saturation: Gives a measure of how much a pure
color is diluted with white light
• Intensity: Brightness is nearly impossible to
measure because it is so subjective. Instead we
use intensity. Intensity is the same achromatic
notion that we have seen in grey level images
6. Relationship between the RGB and
HSI color models
• Now the intensity component
of any color can be
determined by passing a
plane perpendicular to the
intensity axis and containing
the color point
• The intersection of the plane
with the intensity axis gives
.us the intensity component
of the color.
7. • In a similar way we can
extract the hue from the
RGB color cube
• Consider a plane defined by
the three points cyan, black
and white
• All points contained in this
plane must have the same
hue (cyan) as black and
white cannot contribute hue
information to a color
8. Hue and Saturation in the HSI color model
• Consider if we look straight down at
the RGB cube as it was arranged
previously
• We would see a hexagonal shape
with each primary color separated by
120° and secondary colors at 60° from
the primaries
• So the HSI model is composed of a
vertical intensity axis and the locus of
color points that lie on planes
perpendicular to that axis
9. • To the right we see a hexagonal
shape and an arbitrary color point
• The hue is determined by an
angle from a reference point,
usually red
• The saturation is the distance
from the origin to the point
• The intensity is determined by
how far up the vertical intensity
axis this hexagonal plane sits (not
apparent from this diagram.
10. • The only important things are the angle and the length of
the saturation vector this plane is also often represented
as a circle or a triangle
• The angle from the red axis gives the hue, and the length
of the vector is the saturation.
• The intensity of all colors in any of these planes is given
by the position of the plane on the vertical intensity axis.
12. Converting from RGB to HSI
• Given a color as R, G, and B its H, S, and I values are
calculated as follows:
13. Converting from HSI to RGB
• Given a color as H, S, and I it’s R, G, and B values are
calculated as follows:
• RG sector (0 <= H < 120°)
14.
15. HSI & RGB
• H, S, and I Components of RGB Color Cube.
16. Manipulating Images In The HSI Model
• In order to manipulate an image under the HIS model we:
• First convert it from RGB to HSI
• Perform our manipulations under HSI
• Finally convert the image back from HSI to RGB