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![]( "Buchcover ISBN 9781118350065")
Color in Computer Vision
Fundamentals and Applications
von Theo Gevers, Arjan Gijsenij, Joost van de Weijer und Jan-Mark GeusebroekWhile the field of computer vision drives many of today'sdigital technologies and communication networks, the topic of colorhas emerged only recently in most computer vision applications. Oneof the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with colorin the field of image understanding.
Based on the authors' intense collaboration for more thana decade and drawing on the latest thinking in the field ofcomputer science, the book integrates topics from color science andcomputer vision, clearly linking theories, techniques, machinelearning, and applications. The fundamental basics, sampleapplications, and downloadable versions of the software and datasets are also included. Clear, thorough, and practical, Colorin Computer Vision explains:
* Computer vision, including color-driven algorithms andquantitative results of various state-of-the-art methods
* Color science topics such as color systems, color reflectionmechanisms, color invariance, and color constancy
* Digital image processing, including edge detection, featureextraction, image segmentation, and image transformations
* Signal processing techniques for the development of both imageprocessing and machine learning
* Robotics and artificial intelligence, including such topics assupervised learning and classifiers for object and scenecategorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signalprocessing will learn how to implement color in computer visionapplications and gain insight into future developments in thisdynamic and expanding field.
Based on the authors' intense collaboration for more thana decade and drawing on the latest thinking in the field ofcomputer science, the book integrates topics from color science andcomputer vision, clearly linking theories, techniques, machinelearning, and applications. The fundamental basics, sampleapplications, and downloadable versions of the software and datasets are also included. Clear, thorough, and practical, Colorin Computer Vision explains:
* Computer vision, including color-driven algorithms andquantitative results of various state-of-the-art methods
* Color science topics such as color systems, color reflectionmechanisms, color invariance, and color constancy
* Digital image processing, including edge detection, featureextraction, image segmentation, and image transformations
* Signal processing techniques for the development of both imageprocessing and machine learning
* Robotics and artificial intelligence, including such topics assupervised learning and classifiers for object and scenecategorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signalprocessing will learn how to implement color in computer visionapplications and gain insight into future developments in thisdynamic and expanding field.
