Color Sampling Based on Fuzzy Connectedness for Image Matting

In this paper a color sampling approach based on fuzzy connectedness for image matting is presented.Firstly,the strongest paths between unknown pixels and boundary of foreground(or background) are calculated using fuzzy connectedness.Secondly,the known pixels associated to the strongest paths are found.Finally,centered on the associated known pixels,adjacent known pixels are collected to construct sample sets of the unknown pixels.Furthermore,the method can rapidly update samples when new strokes drawn by user are added.Comparative experiments on a variety of input images with different trimaps are presented which demonstrate the accuracy and robustness of the proposed method.