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Improved Stochastic Random Walker Segmentation based on Gaussian Filtering
2013
International Journal of Computer Applications
Image segmentation is the process to capture the object from the background and it is a difficult task when a vision of the object is in stochastic region. Here introduce in this paper extension of stochastic random walker segmentation method. In stochastic random walker segmentation, a weighted graph is built from the image, where the each pixel considered as a node and edge weights depend on the image gradient between the pixels. For given seed regions, the probability are evaluated for a
doi:10.5120/13987-1998
fatcat:gv2z2arw5rgpvijor7vd56xzse