Color in Computer Vision: Fundamentals and Applications (Hardcover)

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.

雖然計算機視覺領域驅動了當今許多數位技術和通訊網絡，但顏色主題在大多數計算機視覺應用中只是最近才出現。這本書是迄今為止關於計算機視覺中顏色的最全面的著作，提供了一套完整的工具，用於在圖像理解領域中處理顏色。

本書基於作者們十多年的密切合作，並借鑒了計算機科學領域的最新思想，將顏色科學和計算機視覺的主題融合在一起，清晰地關聯了理論、技術、機器學習和應用。書中還包括基本原理、樣本應用以及軟件和數據集的可下載版本。《計算機視覺中的顏色》清晰、全面且實用，解釋了以下內容：

- 計算機視覺，包括基於顏色的算法和各種最先進方法的定量結果
- 顏色科學主題，如顏色系統、顏色反射機制、顏色不變性和顏色恆常性
- 數字圖像處理，包括邊緣檢測、特徵提取、圖像分割和圖像轉換
- 信號處理技術，用於圖像處理和機器學習的發展
- 機器人技術和人工智能，包括監督學習以及對象和場景分類的分類器

計算機科學、計算機視覺、顏色科學、電氣工程和信號處理的研究人員和專業人士將學習如何在計算機視覺應用中實現顏色，並獲得對這個充滿活力和擴展領域未來發展的洞察。