Feature Extraction in Computer Vision and Image Proces...

Product Description

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.

*Ideal module text for courses in artificial intelligence, image processing and computer vision
*Essential reading for engineers and academics working in this cutting-edge field
*Supported by free software on a companion website
Product Details

* Amazon Sales Rank: #821811 in Books
* Published on: 2002-01-09
* Original language: English
* Number of items: 1
* Binding: Paperback
* 368 pages

Editorial Reviews

From the Publisher
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.

From the Back Cover
*Ideal module text for courses in artificial intelligence, image processing and computer vision
*Essential reading for engineers and academics working in this cutting-edge field
*Supported by free software on a companion website

Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing is the first book to provide a discussion of how techniques in this field can be implemented together, coupled with a deeper presentation of the analytical material. This text is supported with working Matlab and Mathcad files on the web, which not only allow readers to see the techniques described in the book in use, but also lets them explore areas that they are unfamiliar with.

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.

About the Author
University of Southampton, UK

Alberto S. Aguado, University of Surrey, UK