Download or read book Color in Computer Vision written by Theo Gevers and published by John Wiley & Sons. This book was released on 2012-08-14 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.
Download or read book Color in Computer Vision written by Theo Gevers and published by John Wiley & Sons. This book was released on 2012-09-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.
Download or read book Advances in Low Level Color Image Processing written by M. Emre Celebi and published by Springer Science & Business Media. This book was released on 2013-12-17 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.
Download or read book Handbook of Pattern Recognition and Computer Vision written by C. H. Chen and published by World Scientific. This book was released on 1999 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.
Download or read book Computational Vision written by Hanspeter A. Mallot and published by MIT Press. This book was released on 2000 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
Download or read book Color Matching Function written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-30 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Color Matching Function The color spaces designated by the CIE in 1931 are the first quantitative relationships that have been delineated between the distributions of wavelengths in the electromagnetic visible spectrum and the colors that are physiologically seen by humans in their color vision. When it comes to color management, the mathematical relationships that define these color spaces are key tools. This is especially true when working with color inks, lighted displays, and recording devices like digital cameras. In 1931, the "Commission Internationale de l'éclairage," which is translated into English as the International Commission on Illumination, was the organization that was responsible for designing the system. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: CIE 1931 color space Chapter 2: Luminous efficiency function Chapter 3: Color balance Chapter 4: Planckian locus Chapter 5: Standard Reference Method Chapter 6: Relative luminance Chapter 7: CIECAM02 Chapter 8: Standard illuminant Chapter 9: CIE 1960 color space Chapter 10: OSA-UCS (II) Answering the public top questions about color matching function. (III) Real world examples for the usage of color matching function 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 Color Matching Function.
Download or read book Advanced Topics in Computer Vision written by Giovanni Maria Farinella and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
Download or read book Color Medical Image Analysis written by M. Emre Celebi and published by Springer Science & Business Media. This book was released on 2012-09-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
Download or read book Some Remarks on the Use of Color in Machine Vision written by University of Massachusetts at Amherst. Department of Computer and Information Science and published by . This book was released on 1983 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Color Profile written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-30 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Color Profile A set of data that, according to the standards that have been adopted by the International Color Consortium (ICC), characterizes a color input or output device or a color space is referred to as an ICC profile. This profile is the basis for color management. By providing a mapping between the device source or target color space and a profile connection space (PCS), profiles are able to provide a description of the color characteristics that are associated with a certain device or viewing requirement. Either CIELAB (L*a*b*) or CIEXYZ is considered to be this PCS. There are two ways to specify mappings: either through the use of tables, which are then subjected to interpolation, or by a sequence of parameters concerning transformations. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: ICC profile Chapter 2: Color management Chapter 3: RGB color model Chapter 4: CMYK color model Chapter 5: CIELAB color space Chapter 6: Adobe RGB color space Chapter 7: Color space Chapter 8: Prepress Chapter 9: JPEG File Interchange Format Chapter 10: TIFF (II) Answering the public top questions about color profile. (III) Real world examples for the usage of color profile 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 Color Profile.
Download or read book Color Model written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-10 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Color Model A color model is an abstract mathematical model describing the way colors can be represented as tuples of numbers, typically as three or four values or color components. When this model is associated with a precise description of how the components are to be interpreted, taking account of visual perception, the resulting set of colors is called "color space." How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Color Model Chapter 2: Hue Chapter 3: Munsell Color System Chapter 4: RGB Color Spaces Chapter 5: HSL and HSV Chapter 6: Chromaticity Chapter 7: CIELAB Color Space Chapter 8: Chromatic Adaptation Chapter 9: Gamut Chapter 10: Dominant Wavelength (II) Answering the public top questions about color model. (III) Real world examples for the usage of color model 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 Color Model.
Download or read book Deep Learning to See written by Alessandro Betti and published by Springer Nature. This book was released on 2022-04-26 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.
Download or read book Computational Color Imaging written by Simone Bianco and published by Springer. This book was released on 2017-03-28 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Computational Color Imaging Workshop, CCIW 2017, held in Milano, Italy, in March 2017. The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on color image processing; color image quality; color in digital cultural heritage; spectral imaging; color characterization; color image analysis.
Download or read book Computer Vision and Applications written by Bernd Jahne and published by Academic Press. This book was released on 2000-04-24 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Searchable version of text with hyperlinks.
Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
Download or read book A Physical Approach to Color Image Understanding written by Gudrun Klinker and published by CRC Press. This book was released on 1993-02-15 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author presents a vision model that uses color information to interpret the effects of shading and highlights on a scene. Transcending more traditional approaches, this method may lead to more reliable and useful techniques for image understanding.
Download or read book Computer Vision Systems written by Allen Hanson and published by Elsevier. This book was released on 1978-01-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.
