A new information fusion approach for image segmentation

In this paper we propose a new hybrid image segmentation algorithm that integrate the region-based method with the boundary-based method. More specifically we take an information fusion approach based on the Tensor Voting framework that seamlessly fuse the information from the region-based Mean Shift method with the boundary-based Canny Edge Detection algorithm. We have tested our algorithm on several images from the Caltech 101 database [18]. Experiments results show the new algorithm is very efficient and can achieve very good segmentation results.