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Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 133
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Book Description
What is Histogram Equalization Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Histogram Equalization Chapter 2: Cumulative Distribution Function Chapter 3: Histogram Chapter 4: Random Variable Chapter 5: Order Statistic Chapter 6: HSL and HSV Chapter 7: Color Histogram Chapter 8: Continuous Uniform Distribution Chapter 9: Optical Resolution Chapter 10: Empirical Distribution Function (II) Answering the public top questions about histogram equalization. (III) Real world examples for the usage of histogram equalization in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Histogram Equalization.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 133
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Book Description
What is Histogram Equalization Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Histogram Equalization Chapter 2: Cumulative Distribution Function Chapter 3: Histogram Chapter 4: Random Variable Chapter 5: Order Statistic Chapter 6: HSL and HSV Chapter 7: Color Histogram Chapter 8: Continuous Uniform Distribution Chapter 9: Optical Resolution Chapter 10: Empirical Distribution Function (II) Answering the public top questions about histogram equalization. (III) Real world examples for the usage of histogram equalization in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Histogram Equalization.
Author: Wilhelm Burger
Publisher: Springer Science & Business Media
ISBN: 9781846283796
Category : Computers
Languages : en
Pages : 596
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Book Description
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Author: Abhinav Dadhich
Publisher: Packt Publishing Ltd
ISBN: 1788294769
Category : Computers
Languages : en
Pages : 227
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Book Description
A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Book Description In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. What you will learn Learn the basics of image manipulation with OpenCV Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST Understand image transformation and downsampling with practical implementations. Explore neural networks for computer vision and convolutional neural networks using Keras Understand working on deep-learning-based object detection such as Faster-R-CNN, SSD, and more Explore deep-learning-based object tracking in action Understand Visual SLAM techniques such as ORB-SLAM Who this book is for This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Author: Rafael C. Gonzalez
Publisher: Prentice Hall
ISBN: 013168728X
Category : Image processing
Languages : en
Pages : 977
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Book Description
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
Author: Rangaraj M. Rangayyan
Publisher: CRC Press
ISBN: 0203492544
Category : Medical
Languages : en
Pages : 1312
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Book Description
Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr
Author: Stephen J. Sangwine
Publisher: Springer Science & Business Media
ISBN: 9780412806209
Category : Computers
Languages : en
Pages : 488
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Book Description
1. The present state and the future of colour image processing; 2. Colour vison; 2.1 What is colous?; 2.2 The visual pathway; 2.3 Light absorption and trichromacy; 2.4 Colour appearance and opponet processes; 2.5 Other phenomena; 2.6 The uses of colour; 3. Colour science; 3.1 Introduction; 3.2 The CIE system; 3.3 Colour measurement instruments; 3.4 Uniform colour spaces and colour difference formulas; 3.5 Colour appearance modelling; 4. Colour spaces; 4.1 Basic RGB colour space; 4.2 XYZ colour spae; 4.3 Television colour spaces; 4.4 Opponent colour space; 4.5 Ohta I1I2I3 colour space; 4.6 IHS and related percentual colour spaces; 4.7 Perceptually unifor colour spaces; 4.8 Munsell colour system; 4.9 Kodak Photo YCC colour space; 4.10 Summary of colour space properties. 5. Colour video systems and signals; 5.1 Video communication; 5.2 Colour reproduction; 5.3 Encoded-colour systems; 6. Image sources; 6.1 Overview of sources for image processing; 6.2 Cameras; 7. Practical system considerations; 7.1 Image acquisition technique; 7.2 Image storage; 7.3 Colorimetric calibration of acquisition hardware; 8. Noise removal and contrast enhancement; 8.1 Noise removal; 8.2 Contrast enhancement; 9. Segmentation and edge detection; 9.1 Pixel-based segmentation; 9.2 Region-based segmentation; 9.3 Edge detection and boundary tracking; 9.4 Segmentation adn edge detection quality metrics; 10 Vector filtering; 10.1 the vector median filter; 10.2 Vector direcitonal filters; 10.3 Adaptive vector processing filters; 10.4 Application to colour images; 11. Morphological operations; 11.1 Mathematical morphology; Colour morphology; 11.3 Multiscale image analysis; 11.4 Image enhancement; 12. Frequenci domain methods; 12.1 Review of the 2D discrete Fourier transform; 12.2 Complex chromaticity; 12.3 The quaternion Fourier transform; 12.4 Disicussion; 13. Compression; 13.1 Image and video compression; 13.2 Component-wise still image compression; 13.3 Exploitation of mutual colour component dependencies; 13.4 Colour video comression; 14. Colour management for the textile industry; 14.1 Overviwe of colour flow in the textile industry; 14.2 Colour management systems; 14.3 CRT characterization; 14.4 WYSIWYG colour management; 14.5 Colour notation; 14.6 Colour quality control; 14.7 The colour talk system; 15. Colour management for the graphic arts; 15.1 Overview of the graphic arts environment; 15.2 Colour management systems overview; 15.3 Characterization and calibration of system components; 15.4 Gamut mapping; 15.5 Current colour management systems; 16 Medical imaging case study; 16.1 Wound metrics: the background and motiviation; 16.2 Principle of structured ligh; 16.3 Implementatin of the status of healing; 16.4 Assessment of the status of healing; 16.5 Automatic segmentation of the wound; 16.6 Visualization and storage of data; 17. Industrial colour inspection case studies; 17.1 Inspection of printed card; 17.2 Inspection of fast-moving beverage cans; References; Index.
Author: Tinku Acharya
Publisher: John Wiley & Sons
ISBN: 0471745782
Category : Computers
Languages : en
Pages : 454
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Book Description
Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
Author: Morton J. Canty
Publisher: CRC Press
ISBN: 9780849372513
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
With an ever-increasing availability of aerial and satellite Earth observation data, image analysis has become an essential part of remote sensing. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL combines theory, algorithms, and computer codes and conveys required proficiency in vector algebra and basic statistics. It covers such topics as basic Fourier transforms, wavelets, principle components, minimum noise fraction transformation, and othorectification. The text also discusses panchromatic sharpening, explores multivariate change detection, examines supervised and unsupervised land cover classification and hyperspectral analysis. With programming examples in IDL and applications that support ENVI, it offers many extensions, such as for data fusion, statistical change detection, clustering and supervised classification with neural networks, all available as downloadable source code. Focusing on pixel-oriented analysis of visual/infrared Earth observation satellite imagery, this book extends the ENVI interface in IDL in order to implement new methods and algorithms of arbitrary sophistication. All of the illustrations and applications in the text are programmed in RSI's ENVI/IDL. The software and source code is available for download at: http://www.crcpress.com/product/isbn/9780849372513 Ideal for undergraduate and graduate student, this book provides exercises and small programming projects at the end of each chapter. A solutions manual is also available.
Author: John C. Russ
Publisher: CRC Press
ISBN: 1439840636
Category : Technology & Engineering
Languages : en
Pages : 858
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Book Description
Whether obtained by microscopes, space probes, or the human eye, the same basic tools can be applied to acquire, process, and analyze the data contained in images. Ideal for self study, The Image Processing Handbook, Sixth Edition, first published in 1992, raises the bar once again as the gold-standard reference on this subject. Using extensive new illustrations and diagrams, it offers a logically organized exploration of the important relationship between 2D images and the 3D structures they reveal. Provides Hundreds of Visual Examples in FULL COLOR! The author focuses on helping readers visualize and compare processing and measurement operations and how they are typically combined in fields ranging from microscopy and astronomy to real-world scientific, industrial, and forensic applications. Presenting methods in the order in which they would be applied in a typical workflow—from acquisition to interpretation—this book compares a wide range of algorithms used to: Improve the appearance, printing, and transmission of an image Prepare images for measurement of the features and structures they reveal Isolate objects and structures, and measure their size, shape, color, and position Correct defects and deal with limitations in images Enhance visual content and interpretation of details This handbook avoids dense mathematics, instead using new practical examples that better convey essential principles of image processing. This approach is more useful to develop readers’ grasp of how and why to apply processing techniques and ultimately process the mathematical foundations behind them. Much more than just an arbitrary collection of algorithms, this is the rare book that goes beyond mere image improvement, presenting a wide range of powerful example images that illustrate techniques involved in color processing and enhancement. Applying his 50-year experience as a scientist, educator, and industrial consultant, John Russ offers the benefit of his image processing expertise for fields ranging from astronomy and biomedical research to food science and forensics. His valuable insights and guidance continue to make this handbook a must-have reference.
Author: Konstantinos Plataniotis
Publisher: Springer Science & Business Media
ISBN: 9783540669531
Category : Computers
Languages : en
Pages : 386
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Book Description
Reporting the state of the art of colour image processing, this monograph fills a gap in the literature on digital signal and image processing. It contains numerous examples and pictures of colour image processing results, plus a library of algorithms implemented in C.
