Interactive Segmentation Techniques Algorithms and Performance Evaluation [Paperback]

This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed.

There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
Introduction.- Overview and classification of interactive segmentation methods.- Interactive segmentation algorithms.- Performance evaluation.- Conclusion and future work.Jia He received her B.S. and M.S. degree in Information and Communication Engineering from Xi'an Jiaotong University (XJTU), China, in 2007 and 2010 respectively. She worked in Realsil Microelectronics (Suzhou) Co. LTD. as system engineer in 2010. In 2011 she joined the Media Communication Lab lead by Professor Kuo in University of Southern California (USC), where she is pursuing her Ph.D degree in Electrical Engineering and serving as research assistant. Her research interests include image/video processing and computer vision.