This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image-processing related problems in real-life situations.
The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three-step strategy toward problem-solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends.
This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.
This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image processing related problems in real-life situation.
1. Introduction
2. Image Segmentation
3. Segmentation Evaluation and Comparison
4. Saliency Object Detection
5. Motion Analysis
6. Mathematical Morphology Methods
7. Face Recognition
8. Expression Classification
Yu-Jin Zhang is a tenured professor of image engineering at Tsinghua University, Beijing, China. He earned his PhD in Applied Science from the State University of Liège, Belgium. He was a post-doc fellow of Delft University of Technology, Delft, the Netherlands. He is also a CSIG and SPIE fellow. Dr. Zhang has published 50 books and more than 500 research papers.
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