ENGLISH

Interactive Segmentation Techniques: Algorithms and Performance Evaluation

By C.-C. Jay Kuo (auth.) , Jia He , Chang-Su Kim

Book information

Publisher
Springer-Verlag Singapur
Year
2014
ISBN
978-981-4451-59-8, 978-981-4451-60-4
DOI
10.1007/978-981-4451-60-4
Language
english
Format
PDF
Filesize
4 MB (3780435 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
76\82
Orientation
yes
Scanned
yes
Time added
2013-09-04 00:11:58
Image and Speech Processing; Image Processing andSignal

Description

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.

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