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Proceedings Paper

Fast color image matting by online active contour model
Author(s): Xiaomin Xie; Changming Wang; Aijun Zhang
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Paper Abstract

Compared with gray images, colorful images contain more useful information. In this paper, an online active contour model regarding color image matting is proposed. Using our model, the objects of color images are detected according to their colors. For the proposed model, the new scheme firstly identifies the objects to be segmented by setting the initial contour. Then the new energy functional, which is based on the intensities in each channel, is minimized through an efficient level set formula. Thus less iterations and little calculation time are needed. Finally, the morphological opening and closing operation is adopted for regularization. Experiments results demonstrate the efficiency and effectiveness of the proposed approach, compared with the current active contour models.

Paper Details

Date Published: 4 March 2015
PDF: 5 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432W (4 March 2015); doi: 10.1117/12.2179115
Show Author Affiliations
Xiaomin Xie, Nanjing Univ. of Science and Technology (China)
Changming Wang, Nanjing Univ. of Science and Technology (China)
Aijun Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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