Object extraction using topological models

Object extraction from complex scene of image is important for computer vision and pattern recognition. Fully automatic object extraction without human intervention is very tedious. Therefore, good solution of object extraction from complex scene is obtain by interactively. In this paper an interactive topological model based object extraction are proposed, which is based on two main important properties (i) initially low level segmentation and (ii) similarity measures between regions. Regions of input image are merged using Bhat-Nayar similarity. The extensive experiment has been performed to the efficiency and effectiveness of proposed method.