Color in Computer Vision: Fundamentals and Applications (The Wiley-IS&T Series in Imaging Science and Technology, Band 19) - Hardcover

Über die Autorin bzw. den Autor

THEO GEVERS, PhD, is Professor of Computer Science in the Intelligent Systems Lab at the University of Amsterdam in the Netherlands, and CVC Full Professor at the Computer Vision Center in Barcelona, Spain.

ARJAN GIJSENIJ, PhD, was a postdoctoral researcher in the Intelligent Systems Lab at the University of Amsterdam, the Netherlands, while writing this book.

JOOST van de WEIJER, PhD, is a Ramon y Cajal Fellow at the Universitat Autònoma de Barcelona, Spain.

JAN-MARK GEUSEBROEK, PhD, was assistant professor in the Intelligent Systems Lab at the University of Amsterdam, the Netherlands, while writing this book.

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Comprehensive, up-to-date coverage of computer vision from a color perspective

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.

Aus dem Klappentext

Comprehensive, up-to-date coverage of computer vision from a color perspective

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.