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Unsupervised multiphase segmentation: A recursive approach

Authors
Ni, KangyuHong, Byung-WooSoatto, StefanoChan, 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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