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
methodsColor science topics such as color systems, color reflection
mechanisms, color invariance, and color constancyDigital image
processing, including edge detection, feature extraction, image
segmentation, and image transformationsSignal processing techniques
for the development of both image processing and machine
learningRobotics 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.
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