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ICIP
2005
IEEE
14 years 6 months ago
A modified FCM with optimal Peano scans for image segmentation
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature ...
Adel Hafiane, Bertrand Zavidovique, Subhasis Chaud...
ECAI
2008
Springer
13 years 6 months ago
Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
MVA
2000
122views Computer Vision» more  MVA 2000»
13 years 6 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...
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
AIME
1997
Springer
13 years 9 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric