Machine Vision

Wesley E. Snyder, Hairong Qi Qi

435 pages, parution le 20/01/2004

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Résumé

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.

Sommaire

Introduction
Review of mathematical principles
Writing programs to process images
Images: description and characterization
Linear operators and kernels
Image relaxation: restoration and feature extraction
Mathematical morphology
Segmentation
Shape
Consistent labeling
Parametric transform
Graphs and graph-theoretic concepts
Image matching
Statistical pattern recognition
Clustering
Syntactic pattern recognition
Applications
Automatic target recognition

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Wesley E. Snyder, Hairong Qi Qi
Parution	20/01/2004
Nb. de pages	435
Format	19,5 x 25
Couverture	Relié
Poids	1145g
Intérieur	Noir et Blanc
EAN13	9780521830461
ISBN13	978-0-521-83046-1