Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Multiscale Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Influence of the Noise Model on Level Set Active Contour Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel fuzzy segmentation approach for brain MRI
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Segmentation of color images using multiscale clustering and graph theoretic region synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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A novel multi-resolution approach is presented for vessel segmentation using multi-scale fuzzy clustering and vessel enhancement filtering. According to geometric shape analysis of the vessel structure with different scale, a new fuzzy inter-scale constraint based on antistrophic diffusion linkage model is introduced which builds an efficient linkage relationship between the high resolution feature images and low resolution ones. Meanwhile, this paper develops two new fuzzy distances which describe the fuzzy similarity of line-like structure in adjacent scales effectively. Moreover, a new multiresolution framework combining the inter- and intra-scale constraints is presented. The proposed framework is robust to noisy vessel images and low contrast ones, such as medical images. Segmentation of a number of vessel images shows that the proposed approach is robust and accurate.