<p><i>Feature Extraction for Image Processing and Computer Vision</i> is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete unde
Feature extraction in computer vision and image processing
β Scribed by Mark S Nixon; Alberto S Aguado
- Publisher
- Newnes
- Year
- 2002
- Tongue
- English
- Leaves
- 360
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 feature extraction (including edge detection) -- Feature extraction by shape matching -- Flexible shape extraction (snakes and other techniques) -- Object description -- Introduction to texture description, segmentation and classification -- Appendices
π SIMILAR VOLUMES
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
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
Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.