DocumentCode :
2026277
Title :
Interactive object extraction using hierarchical graph cuts
Author :
Zhang, Yan ; Song, Haohao ; Gu, Jian ; Yu, Shengyang ; Yang, Jie
Author_Institution :
Third Res. Inst., Minist. of Public Security, Shanghai, China
fYear :
2010
fDate :
23-25 Nov. 2010
Firstpage :
851
Lastpage :
858
Abstract :
Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-to-fine object segmentation method makes it efficiently to specify the main object and adjust the detail of object. The user interaction is simplified to drawing a rectangle around the desired object, followed by optional boundary editing. The coarse scale segmentation is performed on the basis of the initial interactive rectangle, the accurate boundary portrayal is performed at the finer scale. A pyramid structure provides a framework for the processing, and this hierarchical structure ensures rapid boundary mapping between pyramid levels. Experimental results on multiple kinds of color images show the effectiveness and convenience of the approach.
Keywords :
computer vision; feature extraction; graph theory; image segmentation; boundary editing; boundary mapping; boundary portrayal; coarse scale segmentation; coarse-to-fine object segmentation method; computer vision; foreground object extraction; hierarchical graph cut approach; interactive object extraction method; pyramid structure; Color; Equations; Image color analysis; Image resolution; Image segmentation; Mathematical model; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
Type :
conf
DOI :
10.1109/ICALIP.2010.5685212
Filename :
5685212
Link To Document :
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