コンピュータビジョンのための特徴抽出と画像処理（第３版） Feature Extraction and Image Processing for Computer Vision（3）

著者名：Nixon BSc, MSc, PhD, Mark

Academic Press（2012/12/18発売）

• 言語：ENG
• ISBN：9780123965493
• eISBN：9780123978240

Description

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.- Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews- Essential reading for engineers and students working in this cutting-edge field- Ideal module text and background reference for courses in image processing and computer vision- The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Table of Contents

1. Introduction2. Images, Sampling and Frequency Domain Processing3. Basic Image Processing Operations4. Low-Level Feature Extraction (including Edge Detection)5. High-Level Feature Extraction: Fixed Shape Matching6. High-Level Feature Extraction: Deformable Shape Analysis7. Object Description8. Introduction to Texture Description, Segmentation and Classification9. Moving Object Detection and Description10. Appendix 1: Camera Geometry Fundamentals11. Appendix 2: Least Squares Analysis12. Appendix 3: Principal Components Analysis13. Appendix 4: Colour Images