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http://dx.doi.org/10.6109/JKIICE.2009.13.10.1981

SOM Matting for Alpha Estimation of Object in a Digital Image  

Park, Hyun-Jun (부산대학교 컴퓨터공학과)
Cha, Eui-Young (부산대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.10, 2009 , pp. 1981-1986 More about this Journal
Abstract
This paper presents new matting techniques. The matting is an alpha estimation technique of object in an image. We can extract the object in an image naturally using the matting technique. The proposed algorithms begin by segmenting an image into three regions: definitely foreground, definitely background, and unknown. Then we estimate foreground, background, and alpha for all pixels in the unknown region. The proposed algorithms learn the definitely foreground and definitely background using self-organizing map(SOM), and estimate an alpha value of each pixel in the unknown region using SOM learning result. SOM matting is distinguished between global SOM matting and local SOM matting by learning method. Experiment results show the proposed algorithms can extract the object in an image.
Keywords
SOM matting; Alpha estimation; Neural network;
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