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ICPR
2000
IEEE
13 years 12 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
ECCV
1998
Springer
13 years 11 months ago
Contour Continuity in Region Based Image Segmentation
Region-based image segmentation techniques make use of similarity in intensity, color and texture to determine the partitioning of an image. The powerful cue of contour continuity ...
Thomas K. Leung, Jitendra Malik
ICAPR
2005
Springer
14 years 1 months ago
Weighted Adaptive Neighborhood Hypergraph Partitioning for Image Segmentation
Abstract. The aim of this paper is to present an improvement of a previously published algorithm. The proposed approach is performed in two steps. In the first step, we generate t...
Soufiane Rital, Hocine Cherifi, Serge Miguet
MVA
2007
189views Computer Vision» more  MVA 2007»
13 years 9 months ago
Image Segmentation Using Region Merging Combined with a Multi-class Spectral Method
In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions i...
Fernando C. Monteiro, Aurélio C. Campilho
RIAO
2004
13 years 9 months ago
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
Marc Caillet, Jean-François Pessiot, Massih...