Soft Segmentation Using Image Registration Based on Nonlocal Matting

Meidya Koeshardianto


Soft segmentation is used for extracting foreground and background on image or video sequence. In this paper, we proposed a new method of soft extraction from an image or video using image registration based on nonlocal matting. One of the disadvantages in nonlocal matting is needed to obtain constraint manually. The constraint is used to identify foreground and background area on separate image region. Based on the registration method, we try to reduce the cost to determine it. First, a constraint is obtained with identify key points detection and descriptor between image source and template. Image template was provided before extracting. Then soft segmentation, nonlocal matting method, is used to extract region. In our experiment result, we show that our proposed framework has significant performance improvement over the state-of-the-art

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