Unsupervised multiphase segmentation: A recursive approach
- Authors
- Ni, Kangyu; Hong, Byung-Woo; Soatto, Stefano; Chan, Tony
- Issue Date
- Apr-2009
- Publisher
- ACADEMIC PRESS INC ELSEVIER SCIENCE
- Keywords
- Segmentation; Scale-Space; Multiphase; Active contour; Mumford-Shah; Chan-Vese
- Citation
- COMPUTER VISION AND IMAGE UNDERSTANDING, v.113, no.4, pp 502 - 510
- Pages
- 9
- Journal Title
- COMPUTER VISION AND IMAGE UNDERSTANDING
- Volume
- 113
- Number
- 4
- Start Page
- 502
- End Page
- 510
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/23266
- DOI
- 10.1016/j.cviu.2008.12.006
- ISSN
- 1077-3142
1090-235X
- 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. (C) 2008 Elsevier Inc. All Fights reserved.
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Collections - College of Software > Department of Artificial Intelligence > 1. Journal Articles
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