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» Fuzzy image segmentation of generic shaped clusters
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SEDE
2008
13 years 7 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
SMI
2008
IEEE
147views Image Analysis» more  SMI 2008»
14 years 13 days ago
Robust segmentation of voxel shapes using medial surfaces
We present a new method for robustly decomposing a 3D voxel shape into disjoint segments using the medial surface, also called surface skeleton. The boundaries of the simplified ...
Dennie Reniers, Alexandru Telea
FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
13 years 11 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
CVPR
1999
IEEE
14 years 8 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie
ICTAI
2002
IEEE
13 years 11 months ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang