Simulate elliptical orbit in pygame, problem found in GE8161 problem solving and python programming lab, pygame, Python, simulate elliptical orbit in pygame , anna university lab syllabus, first year first semester, 2013 regulation
Simulate bouncing ball in pygame, This problem was found in GE8161 problem solving and python programming lab syllabus, first year first semester, anna university, bouncing ball, problem solving and python programming, lab, pygame, Python
This document provides an overview of key concepts in digital image processing, including:
1. It discusses fundamental steps like image acquisition, enhancement, color image processing, and wavelets and multiresolution processing.
2. Image enhancement techniques process images to make them more suitable for specific applications.
3. Color image processing has increased in importance due to more digital images on the internet. Wavelets allow images to be represented at various resolution levels.
This document provides an overview of computer graphics and its applications. It discusses various types of video display devices used in computer graphics like CRTs and flat panel displays. It describes how raster scan and random scan systems work and lists common input and output devices. The document outlines different chapters that will cover topics like line and curve generation algorithms, transformations, 3D viewing, surface detection, and modeling techniques. It provides examples of how computer graphics is used in fields like CAD, presentations, entertainment, education, visualization, image processing, and graphical user interfaces.
SAC (Seismic Analysis Code) is a command-driven program developed in the 1980s for manipulating seismological time series data. It allows users to interactively read seismic data, perform processing like filtering and phase picking, and create publication-quality plots. SAC can read various data formats and stores seismic signal information and processing results in customizable headers associated with each file.
The document outlines the main stages of image processing which include image acquisition, restoration, enhancement, representation and description, segmentation, object recognition, color processing, compression, and morphological operations. It describes each stage in detail, explaining their purposes and some common techniques used. The overall stages take a raw image and perform various operations to extract useful information and simplify analysis for applications like object identification and extraction.
This document contains a question bank for a digital image processing course organized into 5 units. It includes questions about the basic concepts and components of digital image processing systems, image enhancement techniques like filtering and histogram processing, image compression standards and methods, color models, and image segmentation techniques like thresholding and edge detection. Some questions ask students to explain concepts in detail, while others involve calculations, examples, or distinguishing between different approaches. The document is intended to help students prepare to be tested on the key topics covered in a digital image processing course.
Notes 2D-Transformation Unit 2 Computer graphicsNANDINI SHARMA
Notes of 2D Transformation including Translation, Rotation, Scaling, Reflection, Shearing with solved problem.
Clipping algorithm like cohen-sutherland-hodgeman, midpoint-subdivision with solved problem.
COM2304: Introduction to Computer Vision & Image Processing Hemantha Kulathilake
At the end of this lesson, you should be able to;
Describe image.
Describe digital image processing and computer vision.
Compare and Contrast image processing and computer vision.
Describe image sources.
Identify the array of imaging application under the EM Image source.
Describe the components of Image processing system and computer vision system.
Simulate bouncing ball in pygame, This problem was found in GE8161 problem solving and python programming lab syllabus, first year first semester, anna university, bouncing ball, problem solving and python programming, lab, pygame, Python
This document provides an overview of key concepts in digital image processing, including:
1. It discusses fundamental steps like image acquisition, enhancement, color image processing, and wavelets and multiresolution processing.
2. Image enhancement techniques process images to make them more suitable for specific applications.
3. Color image processing has increased in importance due to more digital images on the internet. Wavelets allow images to be represented at various resolution levels.
This document provides an overview of computer graphics and its applications. It discusses various types of video display devices used in computer graphics like CRTs and flat panel displays. It describes how raster scan and random scan systems work and lists common input and output devices. The document outlines different chapters that will cover topics like line and curve generation algorithms, transformations, 3D viewing, surface detection, and modeling techniques. It provides examples of how computer graphics is used in fields like CAD, presentations, entertainment, education, visualization, image processing, and graphical user interfaces.
SAC (Seismic Analysis Code) is a command-driven program developed in the 1980s for manipulating seismological time series data. It allows users to interactively read seismic data, perform processing like filtering and phase picking, and create publication-quality plots. SAC can read various data formats and stores seismic signal information and processing results in customizable headers associated with each file.
The document outlines the main stages of image processing which include image acquisition, restoration, enhancement, representation and description, segmentation, object recognition, color processing, compression, and morphological operations. It describes each stage in detail, explaining their purposes and some common techniques used. The overall stages take a raw image and perform various operations to extract useful information and simplify analysis for applications like object identification and extraction.
This document contains a question bank for a digital image processing course organized into 5 units. It includes questions about the basic concepts and components of digital image processing systems, image enhancement techniques like filtering and histogram processing, image compression standards and methods, color models, and image segmentation techniques like thresholding and edge detection. Some questions ask students to explain concepts in detail, while others involve calculations, examples, or distinguishing between different approaches. The document is intended to help students prepare to be tested on the key topics covered in a digital image processing course.
Notes 2D-Transformation Unit 2 Computer graphicsNANDINI SHARMA
Notes of 2D Transformation including Translation, Rotation, Scaling, Reflection, Shearing with solved problem.
Clipping algorithm like cohen-sutherland-hodgeman, midpoint-subdivision with solved problem.
COM2304: Introduction to Computer Vision & Image Processing Hemantha Kulathilake
At the end of this lesson, you should be able to;
Describe image.
Describe digital image processing and computer vision.
Compare and Contrast image processing and computer vision.
Describe image sources.
Identify the array of imaging application under the EM Image source.
Describe the components of Image processing system and computer vision system.
This document provides an overview of computer graphics. It discusses the history and evolution of computer graphics from the 1960s with early pioneers like William Fetters capturing 3D human structures. In the 1980s, microprocessors enabled higher resolution graphics terminals. 3D graphics became more popular in the 1990s for gaming, multimedia, and animation. The document defines computer graphics as the creation, manipulation, and storage of geometric objects and images. Examples of vector and pixel images are shown. Applications of computer graphics include CAD, simulation, animation, visualization, and video games.
There are three main methods for generating characters using software: the stroke method, vector/bitmap method, and starbust method. The stroke method uses a sequence of line and arc drawing functions defined by starting and end points. The starbust method uses a fixed pattern of 24 bit line segments to represent characters. The bitmap method stores characters as arrays of 1s and 0s representing pixels, allowing for variable font sizes by increasing the array size. All the methods can create aliased characters, and the starbust method requires extra memory to store the 24 bit segment codes.
Introduction to image contrast and enhancement methodAbhishekvb
This document discusses various methods for contrast enhancement of digital images. It defines contrast and describes how contrast is important for distinguishing objects from backgrounds. Two main categories of contrast enhancement methods are described: spatial domain methods, which operate directly on pixel values; and frequency domain methods, which modify the Fourier transform of an image. Specific spatial techniques covered include logarithmic transformation, power law transformation, gamma correction, and histogram equalization. Contrast stretching is also discussed. Examples of code implementations and results are provided. Contrast enhancement has applications in medical imaging, surveillance, and other fields where improving image interpretability is important.
This document contains MATLAB code for performing image compression using the discrete cosine transform (DCT). It reads in an image, converts it to grayscale, and applies the DCT. It sorts the DCT coefficients by power and retains the top 20000 coefficients. It then performs the inverse DCT on the retained coefficients to reconstruct the compressed image, and displays the original and reconstructed images for comparison.
This document summarizes a presentation on image processing. It introduces image processing and discusses acquiring images in digital formats. It covers various aspects of image processing like enhancement, restoration, and geometry transformations. Image processing techniques discussed include histograms, compression, analysis, and computer-aided detection. Color imaging and different image types are also introduced. The document concludes with mentioning some common image processing software.
The document provides an overview of microprocessors, including what they are, their basic components and functions. It discusses how a microprocessor:
- Acts as the central processing unit (CPU) of a computer to provide computational control
- Can be programmed to perform functions on data by writing instructions into its memory
- Has components like an arithmetic logic unit, registers, cache memory and bus interfaces to transfer data and addresses
This tutorial will provide you information on following topics related to Embedded systems.
1. Description of Embedded system.
2. Characteristics of Embedded system.
3. Components of Embedded system.
4. Basic Structure of Embedded system.
5. Parts of Embedded system.
6. Embedded Processors.
7. Applications Of Embedded systems.
8. Consumer Application.
9. Transportation.
10. Medical Equipment.
11. Advantages and Disadvantages.
12. Reliability.
13. Tools used in Embedded systems.
Ray casting is a hidden surface determination algorithm that renders 3D graphics in 2D. It works by casting rays from the viewpoint through each pixel to find the nearest surface intersection. Ray casting provides realistic lighting effects but is more computationally expensive than other algorithms. It is capable of basic graphics rendering by tracing light rays through a scene from the eye to pixels.
The document discusses camera calibration. It describes determining the internal optical parameters (IOP) of cameras like focal length and principal point coordinates. It discusses different distortion models like radial, decentric, and atmospheric distortions. It outlines laboratory, field, and stellar calibration methods. It explains how equivalent focal length, radial distortion, and calibrated focal length are calculated. It also mentions self-calibration, using calibration objects, and bundle adjustment methods for calibration.
This document discusses digital image processing and various image enhancement techniques. It begins with introductions to digital image processing and fundamental image processing systems. It then covers topics like image sampling and quantization, color models, image transforms like the discrete Fourier transform, and noise removal techniques like median filtering. Histogram equalization and homomorphic filtering are also summarized as methods for image enhancement.
Features image processing and ExtactionAli A Jalil
This document discusses various techniques for extracting features and representing shapes from images, including:
1. External representations based on boundary properties and internal representations based on texture and statistical moments.
2. Principal component analysis (PCA) is mentioned as a statistical method for feature extraction.
3. Feature vectors are described as arrays that encode measured features of an image numerically, symbolically, or both.
The document provides an overview of microprocessors and microcontrollers. It discusses the history of microprocessors from early 4-bit processors to modern 64-bit processors. A microprocessor contains a central processing unit while a microcontroller contains additional components like memory and input/output interfaces integrated into a single chip. Microcontrollers require less external hardware than microprocessors. The document describes the basic architecture of microprocessors and microcontrollers including components like registers, buses, and memory. It compares the von Neumann and Harvard architectures. Interrupts and memory-mapped I/O are also discussed.
Image filtering in Digital image processingAbinaya B
This document discusses various image filtering techniques used for modifying or enhancing digital images. It describes spatial domain filters such as smoothing filters including averaging and weighted averaging filters, as well as order statistics filters like median filters. It also covers frequency domain filters including ideal low pass, Butterworth low pass, and Gaussian low pass filters for smoothing, as well as their corresponding high pass filters for sharpening. Examples of applying different filters at different cutoff frequencies are provided to illustrate their effects.
The document discusses composite transformations, which involve performing two or more transformations in sequence. It provides examples that two successive translations can be represented as a single translation, and two successive rotations can be represented as a single rotation. It also explains that scaling an object with respect to a fixed point can be achieved through a sequence of translations, scaling around the origin, and inverse translations, as represented by a composite matrix.
Introduction to digital image processing, image processing, digital image, analog image, formation of digital image, level of digital image processing, components of a digital image processing system, advantages of digital image processing, limitations of digital image processing, fields of digital image processing, ultrasound imaging, x-ray imaging, SEM, PET, TEM
This document summarizes an online photo gallery project created by a group of students. It includes an acknowledgement section thanking faculty and team members. It describes the project objective of allowing users to instantly upload, share and comment on photos while maintaining privacy. It provides details on the project scope, requirements, database design, application workflow, ER diagram and screenshots. It also discusses potential future improvements such as adding photo liking, tagging and sorting capabilities.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
This document provides an overview of computer graphics. It discusses the history and evolution of computer graphics from the 1960s with early pioneers like William Fetters capturing 3D human structures. In the 1980s, microprocessors enabled higher resolution graphics terminals. 3D graphics became more popular in the 1990s for gaming, multimedia, and animation. The document defines computer graphics as the creation, manipulation, and storage of geometric objects and images. Examples of vector and pixel images are shown. Applications of computer graphics include CAD, simulation, animation, visualization, and video games.
There are three main methods for generating characters using software: the stroke method, vector/bitmap method, and starbust method. The stroke method uses a sequence of line and arc drawing functions defined by starting and end points. The starbust method uses a fixed pattern of 24 bit line segments to represent characters. The bitmap method stores characters as arrays of 1s and 0s representing pixels, allowing for variable font sizes by increasing the array size. All the methods can create aliased characters, and the starbust method requires extra memory to store the 24 bit segment codes.
Introduction to image contrast and enhancement methodAbhishekvb
This document discusses various methods for contrast enhancement of digital images. It defines contrast and describes how contrast is important for distinguishing objects from backgrounds. Two main categories of contrast enhancement methods are described: spatial domain methods, which operate directly on pixel values; and frequency domain methods, which modify the Fourier transform of an image. Specific spatial techniques covered include logarithmic transformation, power law transformation, gamma correction, and histogram equalization. Contrast stretching is also discussed. Examples of code implementations and results are provided. Contrast enhancement has applications in medical imaging, surveillance, and other fields where improving image interpretability is important.
This document contains MATLAB code for performing image compression using the discrete cosine transform (DCT). It reads in an image, converts it to grayscale, and applies the DCT. It sorts the DCT coefficients by power and retains the top 20000 coefficients. It then performs the inverse DCT on the retained coefficients to reconstruct the compressed image, and displays the original and reconstructed images for comparison.
This document summarizes a presentation on image processing. It introduces image processing and discusses acquiring images in digital formats. It covers various aspects of image processing like enhancement, restoration, and geometry transformations. Image processing techniques discussed include histograms, compression, analysis, and computer-aided detection. Color imaging and different image types are also introduced. The document concludes with mentioning some common image processing software.
The document provides an overview of microprocessors, including what they are, their basic components and functions. It discusses how a microprocessor:
- Acts as the central processing unit (CPU) of a computer to provide computational control
- Can be programmed to perform functions on data by writing instructions into its memory
- Has components like an arithmetic logic unit, registers, cache memory and bus interfaces to transfer data and addresses
This tutorial will provide you information on following topics related to Embedded systems.
1. Description of Embedded system.
2. Characteristics of Embedded system.
3. Components of Embedded system.
4. Basic Structure of Embedded system.
5. Parts of Embedded system.
6. Embedded Processors.
7. Applications Of Embedded systems.
8. Consumer Application.
9. Transportation.
10. Medical Equipment.
11. Advantages and Disadvantages.
12. Reliability.
13. Tools used in Embedded systems.
Ray casting is a hidden surface determination algorithm that renders 3D graphics in 2D. It works by casting rays from the viewpoint through each pixel to find the nearest surface intersection. Ray casting provides realistic lighting effects but is more computationally expensive than other algorithms. It is capable of basic graphics rendering by tracing light rays through a scene from the eye to pixels.
The document discusses camera calibration. It describes determining the internal optical parameters (IOP) of cameras like focal length and principal point coordinates. It discusses different distortion models like radial, decentric, and atmospheric distortions. It outlines laboratory, field, and stellar calibration methods. It explains how equivalent focal length, radial distortion, and calibrated focal length are calculated. It also mentions self-calibration, using calibration objects, and bundle adjustment methods for calibration.
This document discusses digital image processing and various image enhancement techniques. It begins with introductions to digital image processing and fundamental image processing systems. It then covers topics like image sampling and quantization, color models, image transforms like the discrete Fourier transform, and noise removal techniques like median filtering. Histogram equalization and homomorphic filtering are also summarized as methods for image enhancement.
Features image processing and ExtactionAli A Jalil
This document discusses various techniques for extracting features and representing shapes from images, including:
1. External representations based on boundary properties and internal representations based on texture and statistical moments.
2. Principal component analysis (PCA) is mentioned as a statistical method for feature extraction.
3. Feature vectors are described as arrays that encode measured features of an image numerically, symbolically, or both.
The document provides an overview of microprocessors and microcontrollers. It discusses the history of microprocessors from early 4-bit processors to modern 64-bit processors. A microprocessor contains a central processing unit while a microcontroller contains additional components like memory and input/output interfaces integrated into a single chip. Microcontrollers require less external hardware than microprocessors. The document describes the basic architecture of microprocessors and microcontrollers including components like registers, buses, and memory. It compares the von Neumann and Harvard architectures. Interrupts and memory-mapped I/O are also discussed.
Image filtering in Digital image processingAbinaya B
This document discusses various image filtering techniques used for modifying or enhancing digital images. It describes spatial domain filters such as smoothing filters including averaging and weighted averaging filters, as well as order statistics filters like median filters. It also covers frequency domain filters including ideal low pass, Butterworth low pass, and Gaussian low pass filters for smoothing, as well as their corresponding high pass filters for sharpening. Examples of applying different filters at different cutoff frequencies are provided to illustrate their effects.
The document discusses composite transformations, which involve performing two or more transformations in sequence. It provides examples that two successive translations can be represented as a single translation, and two successive rotations can be represented as a single rotation. It also explains that scaling an object with respect to a fixed point can be achieved through a sequence of translations, scaling around the origin, and inverse translations, as represented by a composite matrix.
Introduction to digital image processing, image processing, digital image, analog image, formation of digital image, level of digital image processing, components of a digital image processing system, advantages of digital image processing, limitations of digital image processing, fields of digital image processing, ultrasound imaging, x-ray imaging, SEM, PET, TEM
This document summarizes an online photo gallery project created by a group of students. It includes an acknowledgement section thanking faculty and team members. It describes the project objective of allowing users to instantly upload, share and comment on photos while maintaining privacy. It provides details on the project scope, requirements, database design, application workflow, ER diagram and screenshots. It also discusses potential future improvements such as adding photo liking, tagging and sorting capabilities.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION