NDLI: Interactive object segmentation using iterative adjustable graph cut

Content Provider	IEEE Xplore Digital Library
Author	Ran Shi Zhi Liu Yinzhu Xue Xiang Zhang
Copyright Year	2011
Description	Author affiliation: School of Communication and Information Engineering, Shanghai University, 200072, China (Ran Shi; Zhi Liu; Yinzhu Xue) \|\| Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, 200240, China (Xiang Zhang)
Abstract	Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background seeds are initialized based on the object segmentation result obtained with the user-specified scribbles as the interactive input. Then, an iterative seed adjustment scheme is exploited to correct inaccurate seeds and extract new suitable seeds via graph cut, in which the balancing weight between energy terms are adaptively updated to protect stable seeds and speedup the iteration process. Finally, suitable seeds are obtained and graph cut is used to segment the objects. Experimental results demonstrate the better segmentation performance of our approach even if user provides rather rough seeds.
Starting Page	1
Ending Page	4
File Size	607617
Page Count	4
File Format	PDF
ISBN	9781457713217
e-ISBN	9781457713224
e-ISBN	9781457713200
DOI	10.1109/VCIP.2011.6115912
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image color analysis Error analysis Object segmentation Educational institutions Reliability Iterative methods
Content Type	Text
Resource Type	Article

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