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 n
Feature Extraction Image Processing for Computer Vision
β Scribed by Mark Nixon; Alberto S Aguado
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Leaves
- 622
- Edition
- 3ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 fi Read more...
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This text focuses on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction. Introduction -- Images, sampling and frequency domain processing -- Basic image processing operations -- Low-level
* 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 * Companion website includes worksheets, links to free software, Matlab files and new demonstrationsImage processing and