Feature Extraction And Image Processing for Computer Vision 3rd Edition by Mark Nixon, Alberto Aguado – Ebook PDF Instant Download/Delivery: 9780123978240, 0123978246
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Product details:
ISBN 10: 0123978246
ISBN 13: 9780123978240
Author: Mark Nixon; Alberto S Aguado
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, “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:
Chapter 1: Introduction
Chapter 2: Images, Sampling, and Frequency Domain Processing
Chapter 3: Basic Image Processing Operations
Chapter 4: Low-Level Feature Extraction (Including Edge Detection)
Chapter 5: High-Level Feature Extraction: Fixed Shape Matching
Chapter 6: High-Level Feature Extraction: Deformable Shape Analysis
Chapter 7: Object Description
Chapter 8: Introduction to Texture Description, Segmentation, and Classification
Chapter 9: Moving Object Detection and Description
Chapter 10: Appendix 1: Camera Geometry Fundamentals
Chapter 11: Appendix 2: Least Squares Analysis
Chapter 12: Appendix 3: Principal Components Analysis
Chapter 13: Appendix 4: Color Images
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Tags: Mark Nixon, Alberto Aguado, Feature, Extraction


