Color in Computer Vision (eBook)

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.