Synopses & Reviews
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 clearand 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
Synopsis
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
Synopsis
m 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.
Table of Contents
Preface; 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; Index