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FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
14 years 4 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
PR
2007
340views more  PR 2007»
13 years 10 months ago
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
Weiling Cai, Songcan Chen, Daoqiang Zhang
PRL
2002
115views more  PRL 2002»
13 years 10 months ago
A generic fuzzy rule based image segmentation algorithm
Fuzzy rule based image segmentation techniques tend in general, to be application dependent with the structure of the membership functions being predefined and in certain cases, t...
Gour C. Karmakar, Laurence Dooley
GBRPR
2007
Springer
14 years 5 months ago
Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
ARTMED
2004
145views more  ARTMED 2004»
13 years 10 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen