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.
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Hao, Z., Liu, J., Yan, X., Wen, W., Cai, R. (2012). Alpha Matting Using Artificial Immune Network. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_36
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DOI: https://doi.org/10.1007/978-3-642-30976-2_36
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