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