Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
527925 | Computer Vision and Image Understanding | 2009 | 9 Pages |
Abstract
We propose an unsupervised multiphase segmentation algorithm based on Bresson et al.’s fast global minimization of Chan and Vese’s two-phase piecewise constant segmentation model. The proposed algorithm recursively partitions a region into two subregions, starting from the largest scale. The segmentation process automatically terminates and detects when all the regions cannot be partitioned further. The number of regions is not given and can be arbitrary. Furthermore, this method provides a full hierarchical representation that gives a structure of a given image.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Kangyu Ni, Byung-Woo Hong, Stefano Soatto, Tony Chan,