This book is an accessible and comprehensive introduction to machine
vision. It provides all the necessary theoretical tools and shows how
they are applied in actual image processing and machine vision systems.
A key feature is the inclusion of many programming exercises that give
insights into the development of practical image processing algorithms.
The authors begin with a review of mathematical principles and go on to
discuss key issues in image processing such as the description and
characterization of images, edge detection, restoration and feature
extraction, segmentation, texture and shape. They also discuss image
matching, statistical pattern recognition, clustering, and syntactic
pattern recognition. Important applications are described, including
optical character recognition and automatic target recognition. A
CD-ROM containing software and data used in the book is included. The
book is aimed at graduate students in electrical engineering, computer
science, and mathematics. It will also be a useful reference for
practitioners.