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Unsupervised multiphase segmentation: A recursive approach
- Ni, Kangyu;
- Hong, Byung-Woo;
- Soatto, Stefano;
- Chan, Tony
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10초록
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. (C) 2008 Elsevier Inc. All Fights reserved.
키워드
Segmentation; Scale-Space; Multiphase; Active contour; Mumford-Shah; Chan-Vese; IMAGE SEGMENTATION; ACTIVE CONTOURS; CLASSIFICATION; MODEL; ALGORITHMS
- 제목
- Unsupervised multiphase segmentation: A recursive approach
- 저자
- Ni, Kangyu; Hong, Byung-Woo; Soatto, Stefano; Chan, Tony
- 발행일
- 2009-04
- 유형
- Article
- 권
- 113
- 호
- 4
- 페이지
- 502 ~ 510