Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.
Digital image processing focuses on two major tasks
-Improvement of pictorial information for human interpretation
-Processing of image data for storage, transmission and representation for autonomous machine perception
Image Processing is any form of signal processing for which our input is an image, such as photographs or frames of videos and our output can be either an image or a set of characterstics related to the image
Histogram Processing
Histogram Equalization
Histogram Matching
Local Histogram processing
Using histogram statistics for image enhancement
Uses for Histogram Processing
Histogram Equalization
Histogram Matching
Local Histogram Processing
Basics of Spatial Filtering
Digital image processing focuses on two major tasks
-Improvement of pictorial information for human interpretation
-Processing of image data for storage, transmission and representation for autonomous machine perception
Image Processing is any form of signal processing for which our input is an image, such as photographs or frames of videos and our output can be either an image or a set of characterstics related to the image
Histogram Processing
Histogram Equalization
Histogram Matching
Local Histogram processing
Using histogram statistics for image enhancement
Uses for Histogram Processing
Histogram Equalization
Histogram Matching
Local Histogram Processing
Basics of Spatial Filtering
Biomedical Image Processing
Topics covered: Biomedical imaging, Need of image processing in medicine, Principles of image processing, Components of image processing, Application of image processing in different medical imaging systems
Wavelet transform is one of the important methods of compressing image data so that it takes up less memory. Wavelet based compression techniques have advantages such as multi-resolution, scalability and tolerable degradation over other techniques.
Biomedical Image Processing
Topics covered: Biomedical imaging, Need of image processing in medicine, Principles of image processing, Components of image processing, Application of image processing in different medical imaging systems
Wavelet transform is one of the important methods of compressing image data so that it takes up less memory. Wavelet based compression techniques have advantages such as multi-resolution, scalability and tolerable degradation over other techniques.
Project Presentation on Passive infrared based human detection alive robot. Rescue and monitoring operation by the help of robot using loe cost infrared technology
An ultrasonic sensor in a compact housing, with 20-450cm detection range.
Ultrasonic transducers are used in vehicles as parking assistance. The ultrasonic transducer sends out short ultrasonic impulses which are reflected by barriers. The echo signals are registered by the sensor and are evaluated by a central control unit.
This ultrasonic parking sensor from Bosch is very compact with its very few components meaning it is manufactured at low cost. The sensor is made with one electronic board, including a Bosch transceiver integrated circuit (IC) that drives the output of the Epcos/TDK transformer and evaluates the reflected signal. The transducer itself is made of a lead zirconate titanate (PZT) membrane and silver electrodes.
More information on that report at http://www.i-micronews.com/reports.html
Open-World Mission Specification for Reactive Robots - ICRA 2014Spyros Maniatopoulos
My presentation of the paper "Open-World Mission Specification for Reactive Robotics" in the "Formal Methods I" session of the 2014 International Conference on Robotics and Automation, Hong Kong, China. (The 3 embedded videos won't play on Slideshare.)
Introduction to image processing (or signal processing).
Types of Image processing.
Applications of Image processing.
Applications of Digital image processing.
Image processing is the process of transforming an image into a digital form and performing certain operations to get some useful information from it. The image processing system usually treats all images as 2D signals when applying certain predetermined signal processing methods.There are five main types of image processing Visualization Find objects that are not visible in the imageRecognition Distinguish or detect objects in the imageSharpening and restoration Create an enhanced image from the original imagePattern recognition Measure the various patterns around the objects in the imageRetrieval Browse and search images from a large database of digital images that are similar to the original image Supriya Kumari "Image Processing in the Current Scenario" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51728.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/51728/image-processing-in-the-current-scenario/supriya-kumari
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
MLDM provides an original scientific position in Europe on problems related to pattern recognition, machine learning, classification, modelling, knowledge extraction and data mining. These issues have a strong employability potential for students trained in the field of modelling, prediction or decision support, as well as in the area of the Web, image and video processing, health informatics, etc.
For graphs of mathematical functions, see Graph of a function. For other uses, see Graph (disambiguation). A drawing of a graph. In mathematics graph theory is the study of graphs, which are mathematical structures used.In mathematics, and more specifically in graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, any acyclic connected graph is a tree. A forest is a disjoint union of trees.
Synchronous Optical Networking (SONET) and Synchronous Digital Hierarchy (SDH) are standardized multiplexing protocols that transfer multiple digital bit streams over optical fiber using lasers or light-emitting diodes (LEDs). Lower data rates can also be transferred via an electrical interface.
Discrete Mathematics - Sets. ... He had defined a set as a collection of definite and distinguishable objects selected by the means of certain rules or description. Set theory forms the basis of several other fields of study like counting theory, relations, graph theory and finite state machines.
Discrete Mathematics - Sets. ... He had defined a set as a collection of definite and distinguishable objects selected by the means of certain rules or description. Set theory forms the basis of several other fields of study like counting theory, relations, graph theory and finite state machines.
The Parallel RLC Circuit is the exact opposite to the series circuit we looked at in the previous tutorial although some of the previous concepts and equations still apply.
The Parallel RLC Circuit is the exact opposite to the series circuit we looked at in the previous tutorial although some of the previous concepts and equations still apply.
Discrete Mathematics - Relations. ... Relations may exist between objects of the same set or between objects of two or more sets. Definition and Properties. A binary relation R from set x to y (written as x R y o r R ( x , y ) ) is a subset of the Cartesian product x × y .
Propositional calculus (also called propositional logic, sentential calculus, sentential logic, or sometimes zeroth-order logic) is the branch of logic concerned with the study of propositions (whether they are true or false) that are formed by other propositions with the use of logical connectives, and how their value depends on the truth value of their components. Logical connectives are found in natural languages.
Propositional calculus (also called propositional logic, sentential calculus, sentential logic, or sometimes zeroth-order logic) is the branch of logic concerned with the study of propositions (whether they are true or false) that are formed by other propositions with the use of logical connectives, and how their value depends on the truth value of their components. Logical connectives are found in natural languages.
In computer science, Prim's algorithm is a greedy algorithm that finds a minimum spanning tree for a weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
3. Name ID
Md.Delwar Hossain 131-15-2352
Naimur Rahman Badhon 131-15-2375
Fatema Tuz Zohora 131-15-2417
Group Members:
4. Digital image processing deals with manipulation of
digital images through a digital computer. It is a subfield
of signals and systems but focus particularly on images.
DIP focuses on developing a computer system that is able
to perform processing on an image. The input of that
system is a digital image and the system process that
image using efficient algorithms, and gives an image as an
output. The most common example is Adobe Photoshop.
It is one of the widely used application for processing
digital images.
Digital image processing
6. Since digital image processing has very wide
applications and almost all of the technical fields are
impacted by DIP, we will just discuss some of the major
applications of DIP.
Applications and Usage
7. Some of the major fields in which digital image processing is widely
used are mentioned below
Image sharpening and restoration
Medical field
Remote sensing
Transmission and encoding
Machine/Robot vision
Color processing
Pattern recognition
Video processing
Microscopic Imaging
Applications of Digital Image Processing
8. Image sharpening and restoration refers here to process
images that have been captured from the modern camera
to make them a better image or to manipulate those images
in way to achieve desired result. It refers to do what
Photoshop usually does.
This includes Zooming, blurring , sharpening , gray scale to
color conversion, detecting edges and vice versa , Image
retrieval and Image recognition
Image sharpening and restoration
9. The original image The zoomed image Blurr image
Sharp image Edges
The common examples are:
10. The common applications of DIP in the field of medical
is
Gamma ray imaging
PET scan
X Ray Imaging
Medical CT
UV imaging
Medical field
11. In the field of remote sensing , the area of the earth is
scanned by a satellite or from a very high ground and
then it is analyzed to obtain information about it. One
particular application of digital image processing in the
field of remote sensing is to detect infrastructure
damages caused by an earthquake.
UV imaging/Remote sensing
13. Apart form the many challenges that a robot face today ,
one of the biggest challenge still is to increase the vision
of the robot. Make robot able to see things , identify
them , identify the hurdles e.t.c. Much work has been
contributed by this field and a complete other field of
computer vision has been introduced to work on it.
Machine/Robot vision
14. Hurdle detection is one of the common task that has
been done through image processing, by identifying
different type of objects in the image and then
calculating the distance between robot and hurdles.
Hurdle detection
16. Most of the robots today work by following the line and
thus are called line follower robots. This help a robot to
move on its path and perform some tasks. This has also
been achieved through image processing.
Line follower robot
17. Need of accurate grading, sorting of fruits and foods
or agriculture products arises because of increased
expectations in quality food and safety standards. It
causes increased processing and labor work.
Computer vision and image. processing were non
destructive, accurate and reliable methods to achieve
target of grading.
Applications in fruit / food grading:
18. A video is nothing but just the very fast movement of
pictures. The quality of the video depends on the
number of frames/pictures per minute and the quality
of each frame being used. Video processing involves
noise reduction , detail enhancement , motion
detection , frame rate conversion , aspect ratio
conversion , color space conversion e.t.c.
Video processing
19. Color processing includes processing of colored
images and different color spaces that are used. For
example RGB color model , YCbCr, HSV. It also
involves studying transmission , storage , and
encoding of these color images
Color processing
20. Weeds were the plants growing in wrong place in farm
which compete with crop for water, light, nutrients and
space, causing reduction in yield and effective use of
machinery. Weed control was important from agriculture
point of view, so many researchers developed various
methods based on image processing. Weed detection
techniques used algorithms based on edge detection,
color detection, classification based on wavelets, fuzzy
etc.
Applications in Weed detection:
21. Pattern recognition involves study from image
processing and from various other fields that includes
machine learning ( a branch of artificial intelligence). In
pattern recognition , image processing is used for
identifying the objects in an images and then machine
learning is used to train the system for the change in
pattern. Pattern recognition is used in computer aided
diagnosis , recognition of handwriting , recognition of
images e.t.c
Pattern recognition