Image Engineering

Processing, Analysis, and Understanding

Yu-Jin ZHANG

Cengage Learning Asia Pte Ltd£¬2009

ISBN-13: 978-981-4239-63-9
ISBN-10: 981-4239-63-1

Price: US$ 85.00

Size:   185 x 230 mm

Pages: 726 pages

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Introduction

 (Selected from "Preface")

This book has grown out of the author's research experience and teaching practices for full-time undergraduate and graduate students at various universities, as well as for students and engineers taking summer courses. It is prepared with students and instructors in mind with the principal objective of introducing basic concepts, theories, methodologies, and techniques of image engineering in a vivid and pragmatic manner. This book will help beginners lay a thorough foundation and provide mature students and engineers with advanced materials.

Image engineering is a broad subject encompassing computer science,electrical and electronic engineering, as well as mathematics, physics, physiology, and psychology. Readers of this book should have some preliminary background in one of these areas. Knowledge of linear system theory, vector algebra, probability, and random process is beneficial but not necessary.

This book consists of four parts dealing respectively with image fundamentals, image processing, image analysis, and image understanding. It has 463 figures, 47 tables, and 1,190 numbered equations in addition to 113 examples and 277 problems. Moreover, over 300 key references are given at the end of book.

This book can be used for courses in image engineering, computer science, electrical and electronic engineering, image pattern recognition, information processing, and intelligent information systems. It can also be of great help to scientists and engineers doing research and development related to image engineering.

Contents

 

	PART 1	IMAGE FUNDAMENTALS
		Chapter  1	Introduction to Image Engineering
		Chapter  2	Image Acquisition		
		Chapter  3	Image Geometry
		
	PART 2	IMAGE PROCESSING	
		Chapter  4	Image Transforms
		Chapter  5	Image Enhancement
		Chapter  6	Image Restoration
		Chapter  7	Image Reconstruction from Projection
		Chapter  8	Image Coding
		
	PART 3	IMAGE ANALYSIS	
		Chapter  9	Image Segmentation
		Chapter 10	Object Representation and Description
		Chapter 11	Feature Measurement and Error Analysis
		Chapter 12	Texture Analysis
		Chapter 13	Shape Analysis
		
	PART 4	IMAGE UNDERSTANDING		
		Chapter 14	Stereo Vision
		Chapter 15	3-D Shape Information Recover
		Chapter 16	Matching and Understanding
		Chapter 17	Multi-Sensor Image Fusion
		Chapter 18	Content-Based Image Retrieval

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