By
Mark Nixon, University of Southampton, UK
Alberto S Aguado, University of Surrey, UK
Mark Nixon, University of Southampton, UK
Alberto S Aguado, University of Surrey, UK
Description
* 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 demonstrations
Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and
Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques
and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working
Matlab and Mathcad files on the web.
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.
The new edition includes:
* New coverage of curvature in low-level feature extraction
(SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models
* Updated coverage of image
smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments)
Audience:
- Undergraduates studying Electrical/Electronic Engineering, Computer Engineering, Computer Science, Software Engineering (to accompany
specific modules or as supplementary / further reading)- Postgraduate students and researchers in Computer Vision and Image
Processing (adoption potential for MSc / MEng courses)- Industry researchers and professionals using computer vision and
image processing technology and wanting to get up to speed with social and industrial applications of the technology (eg. medical, industrial
inspection, geographic studies)
