Alpha matting using artificial immune network

Authors:
Zhifeng Hao;Jianming Liu;Xueming Yan;Wen Wen;Ruichu Cai
Affiliations:
Faculty of Computer Science, Guangdong University of Technology, Guangzhou, China;Faculty of Computer Science, Guangdong University of Technology, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China;Faculty of Computer Science, Guangdong University of Technology, Guangzhou, China;Faculty of Computer Science, Guangdong University of Technology, Guangzhou, China,State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2012

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Abstract

Alpha matting refers to the problem of softly extracting the foreground from an image.To solve the matting problem initialized with a trimap (a partition of the image into three regions: foreground, background and unknown pixels), an approach based on artificial immune network is proposed in this paper.The method firstly uses Artificial Immune Network(aiNet) to map the color feature for unknown region, attaining the color subset both on the foreground and background color distributions,then estimate the alpha matte for unknown region, and finally apply guided filter to improve the matting results. Experiments on several different image data sets show that the proposed method produces high-quality matting results.