Matting Image Based on D-S Evidence Theory
This paper presents a new method for the matting problem of color image, which is based on the ideology of image matting proposed by Thomas Porter and Tom Duff and the algorithm of D-S evidence theory. Firstly, the given image must be marked as many approaches. The difference from other methods is that the boundary of foreground called uncertain region should only be signed as constraints in this paper. Then 10 features about the candidate pixel, which is one pixel of the uncertain region, are extracted from the corresponding color space as the inputs of D-S evidence theory and partitioned into two conflictive subsets.-Moreover, the results of the two subsets computed by the combination rule of D-S evidence theory should be synthesized again to get ζ according to their confidence levels. Then the comparative result of ζ and δ (0.5) is used to determine whether the candidate pixel belongs to foreground or not If ζ> δ, the candidate pixels considered as a foregrounds pixel. On the contrary, its a backgrounds pixel. Finally, some images are downloaded from internet and matted by using this papers method, and the results show that this method performs well.
matting image D-S evidence theory uncertain region confidence level foreground background color space
LEI Jing-tao ZUO Ren-gui, CAO Yuan-long
School of Mechatronics Engineenng and Automation Shanghai University Shanghai, China
国际会议
重庆
英文
612-616
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）