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

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.

本書專注於七種常用的影像分析技術。它涵蓋了從基本原理和實用方法到每種選定技術的新進展，以幫助讀者在實際情況下解決影像處理相關問題。

所選技術包括影像分割、分割評估和比較、显著性物体檢測、運動分析、數學形態學方法、人臉識別和表情分類。作者提供讀者一個三步解決問題的策略：首先是基本原理，然後是詳細解釋，最後是針對特定任務的實用和可行技術的討論。他還鼓勵讀者充分利用最新發展和趨勢的可用資料。

對於那些在影像技術上沒有完整基礎但需要使用影像分析技術來執行特定應用任務的人來說，這是一本優秀的書籍。

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.

張宇進是中國北京清華大學影像工程的終身教授。他在比利時列日州立大學獲得應用科學博士學位。他曾是荷蘭代爾夫特理工大學的博士後研究員。他還是CSIG和SPIE的成員。張博士已經出版了50本書和500多篇研究論文。