Feature Extraction & Image Processing for Computer Vision

Mark Nixon 지음

elsevier 2012년 12월 18일 출간

작품소개

책소개

This book 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, quot;The main strength of the proposed book is the exemplar code of the algorithms.quot; 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 ReviewsEssential reading for engineers and students working in this cutting-edge fieldIdeal module text and background reference for courses in image processing and computer visionThe only currently available text to concentrate on feature extraction with working implementation and worked through derivation

목차

Preface 1. Introduction 2. Images, Sampling and Frequency Domain Processing 3. Basic Image Processing Operations 4. Low-Level Feature Extraction (including Edge Detection) 5. High-Level Feature Extraction: Fixed Shape Matching 6. High-Level Feature Extraction: Deformable Shape Analysis 7. Object Description 8. Introduction to Texture Description, Segmentation and Classification 9. Moving Object Detection and Description 10. Appendix 1: Camera Geometry Fundamentals 11. Appendix 2: Least Squares Analysis 12. Appendix 3: Principal Components Analysis 13. Appendix 4: Colour Images References Index

출판사 서평

"The mathematical element is presented in a non-mathematical way thus making the content more accessible？？his edition is a very welcome addition to vision extraction."--IMA.org, August 2013 "All in all, I highly recommend this 600 pager as an introduction for students, and as a reference for practitioners. The latter audience will find an abundance of use references in each chapter？？--ComputingReviews.com, April 18, 2013 "After reviewing the human vision system, Nixon？？nd Aguardo？？ntroduce signal processing theory for computer vision and current digital techniques for edge detection within an image, fixed shape matching, and deformable shape analysis. The undergraduate engineering textbook also explains the characterization of objects by boundary, region, and texture descriptions."--Reference and Research Book News, February 2013

작가정보

저자(글) Mark Nixon