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

Publication subTitle :Fundamentals and Applications

Publication series :The Wiley-IS&T Series in Imaging Science and Technology

Author: Theo Gevers  

Publisher: John Wiley & Sons Inc‎

Publication year: 2012

E-ISBN: 9781118350072

P-ISBN(Hardback):  9780470890844

Subject: TB General Industrial Technology

Language: ENG

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Description

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.

Chapter

Contents

pp.:  1 – 9

Preface

pp.:  9 – 17

1 Introduction

pp.:  17 – 21

PART I Color Fundamentals

pp.:  21 – 31

PART II Photometric Invariance

pp.:  31 – 67

PART III Color Constancy

pp.:  67 – 155

PART IV Color Feature Extraction

pp.:  155 – 207

PART V Applications

pp.:  207 – 289

Citation Guidelines

pp.:  289 – 359

References

pp.:  359 – 361

Index

pp.:  361 – 383

LastPages

pp.:  383 – 386

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