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» A generic fuzzy rule based image segmentation algorithm
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EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
13 years 10 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
CEC
2007
IEEE
13 years 11 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
PAMI
2002
127views more  PAMI 2002»
13 years 4 months ago
Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
The notion of fuzzy connectedness captures the idea of "hanging-togetherness" of image elements in an object by assigning a strength of connectedness to every possible pa...
Jayaram K. Udupa, Punam K. Saha, Roberto de Alenca...