A Selection of Image Analysis Techniques:
From Fundamentals to Research Front

Yu-Jin ZHANG

CRC Press, Taylor & Francis Group£¬2023

ISBN: 978-1-032-35109-4 (hardcover)
ISBN: 978-1-032-35116-2 (paperback)
ISBN: 978-1-003-32536-9 (eBook)

Price:  Hardcover  GBP:120,00
Size:   185 x 260 mm
Pages: 343 pages
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Preface


Image analysis is a discipline that has attracted a lot of attention in information community. Image analysis technology has been widely used in many applications in our society. This book takes a new way, in combining the contents, characteristics and styles of both textbook and monography, to introduce image analysis technology.

This book is different from pure textbook on image analysis, it is also not a theoretical monograph on image analysis technology. In this book, the introduction is focused on several commonly used image analysis techniques. For each of these selected techniques, a comprehensive coverage is provided. The book starts from the essential concepts and basic principles, passes through the typical specific methods and practical techniques, and arrives the research frontier trends and latest developments.

This book should be suitable for readers who do not have the complete foundation of image analysis, yet, but need to use image analysis techniques to solve specific tasks. From this book, readers can quickly grasp the elementary knowledge for the further study without the pre-request for the relevant basis information; readers can find a suitable technique for solving practical problem, and readers can learn the latest development in the specific application domain.

The seven selected image analysis techniques are: Image segmentation, Segmentation evaluation and comparison, Saliency object detection, Motion analysis, Mathematical morphology methods, Face recognition and Expression classification. This book does not attempt to cover all branches of image analysis technology, rather, it tries to give a profound discussion on those selected techniques. The presentations and discussions on each of these techniques are self-contained.

The materials in this book are arranged in eight chapters with 52 sections, 118 sub-sections, with 192 figures, 33 tables, and 308 numbered equations. Moreover, over 300 key references are introduced and provided at the end of book for further study.

Special thanks go to Taylor & Francis Group, and their staff members. Their kind and professional assistance are truly appreciated.

Last but not least, I am deeply indebted to my wife and my daughter for their encouragement, patience, support, tolerance, and understanding during the writing of this book.

Contents

(More in "Detailed contents")


		Chapter  1	Introduction
		Chapter  2	Image Segmentation		
		Chapter  3	Segmentation Evaluation and Comparison
		Chapter  4	Saliency Object Detection
		Chapter  5	Motion Analysis
		Chapter  6	Mathematical Morphology Methodsn
		Chapter  7	Face Recognition
		Chapter  8	Expression Classification
		

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