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129
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ICMCS
2005
IEEE
100views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Fuzzy image segmentation using shape information
Results of any clustering algorithm are highly sensitive to features that limit their generalization and hence provide a strong motivation to integrate shape information into the ...
Mohammed Ameer Ali, Gour C. Karmakar, Laurence S. ...
160
Voted
ICIP
2003
IEEE
16 years 5 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan
146
Voted
FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
15 years 9 months ago
Spatial Homogeneity-Based Fuzzy c-Means Algorithm for Image Segmentation
Abstract. A fuzzy c-means algorithm incorporating the notion of dominant colors and spatial homogeneity is proposed for the color clustering problem. The proposed algorithm extract...
Bo-Yeong Kang, Dae-Won Kim, Qing Li
124
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PAMI
2010
112views more  PAMI 2010»
15 years 2 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum
110
Voted
ICPR
2008
IEEE
15 years 10 months ago
Watershed framework to region-based image segmentation
This paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersh...
Fernando Jorge Coutinho Monteiro, Aurélio C...