Color in Computer Vision

Color in Computer Vision PDF

Author: Theo Gevers

Publisher: John Wiley & Sons

Published: 2012-08-14

Total Pages: 315

ISBN-13: 1118350065

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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.

Color in Computer Vision

Color in Computer Vision PDF

Author: Theo Gevers

Publisher: John Wiley & Sons

Published: 2012-09-04

Total Pages: 0

ISBN-13: 9780470890844

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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.

Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision PDF

Author: C. H. Chen

Publisher: World Scientific

Published: 1999

Total Pages: 1045

ISBN-13: 9812384731

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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.

Practical Computer Vision with SimpleCV

Practical Computer Vision with SimpleCV PDF

Author: Kurt Demaagd

Publisher: "O'Reilly Media, Inc."

Published: 2012

Total Pages: 255

ISBN-13: 1449320368

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Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional. Capture images from several sources, including webcams, smartphones, and Kinect Filter image input so your application processes only necessary information Manipulate images by performing basic arithmetic on pixel values Use feature detection techniques to focus on interesting parts of an image Work with several features in a single image, using the NumPy and SciPy Python libraries Learn about optical flow to identify objects that change between two image frames Use SimpleCV's command line and code editor to run examples and test techniques

Color Image Processing and Applications

Color Image Processing and Applications PDF

Author: Konstantinos N. Plataniotis

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 368

ISBN-13: 3662041863

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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.

Color Space

Color Space PDF

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2024-05-10

Total Pages: 117

ISBN-13:

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What is Color Space A color space is a particular arrangement of colors in a given space. In conjunction with color profiling, which is supported by a variety of physical devices, it is capable of supporting repeatable representations of color, regardless of whether such representations involve an analog or a digital representation. It is possible for a color space to be arbitrary, in which case the colors that are physically realized are allocated to a set of physical color swatches that have matching color names, or it can be structured with mathematical precision. The concept of a "color space" is a helpful conceptual tool that may be utilized to gain a knowledge of the color capabilities of a certain digital file or device. In the process of attempting to replicate color on a different device, color spaces can indicate whether or not shadow/highlight detail and color saturation can be preserved, as well as the degree to which either of these aspects will be diminished. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Color space Chapter 2: RGB color model Chapter 3: CMYK color model Chapter 4: RGB color spaces Chapter 5: HSL and HSV Chapter 6: Chromaticity Chapter 7: CIELAB color space Chapter 8: Gamut Chapter 9: Grayscale Chapter 10: Adobe RGB color space (II) Answering the public top questions about color space. (III) Real world examples for the usage of color space 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 Space.

Color Model

Color Model PDF

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2024-05-10

Total Pages: 105

ISBN-13:

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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.

A Physical Approach to Color Image Understanding

A Physical Approach to Color Image Understanding PDF

Author: Gudrun Klinker

Publisher: CRC Press

Published: 1993-02-15

Total Pages: 192

ISBN-13: 1439864683

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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.

Digital Color Image Processing

Digital Color Image Processing PDF

Author: Andreas Koschan

Publisher: John Wiley & Sons

Published: 2008-02-15

Total Pages: 392

ISBN-13: 0470230355

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An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

Color Profile

Color Profile PDF

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2024-04-30

Total Pages: 114

ISBN-13:

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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.