Unsupervised multiphase segmentation: A recursive approach

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8
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10

초록

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

SegmentationScale-SpaceMultiphaseActive contourMumford-ShahChan-VeseIMAGE SEGMENTATIONACTIVE CONTOURSCLASSIFICATIONMODELALGORITHMS
제목
Unsupervised multiphase segmentation: A recursive approach
저자
Ni, KangyuHong, Byung-WooSoatto, StefanoChan, Tony
DOI
10.1016/j.cviu.2008.12.006
발행일
2009-04
유형
Article
저널명
Computer Vision and Image Understanding
113
4
페이지
502 ~ 510