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A new image segmentation method based on three-dimensional fuzzy partition Renyi entropy was presented. First, on the basis of the theory of fuzzy partition, the fuzzy partition Renyi entropy was defined by using conditional probability and conditional entropy. ACO was used to obtain the optimal parameters to segmentation . The effectiveness of the proposed approach was demonstrated to real vision...
Aiming at the limitation of traditional graph-theory clustering method in the process of image segmentation, a new segmentation approach is proposed, which uses fuzzy similarity relationship to weight the edges while a complete graph is constituted. And fuzzy maximum spanning tree is used to clustering. Thus the traditional graph-theory clustering method is improved as the fuzzy graph-theory clustering...
This paper proposes a new method of face image feature extraction, namely, the fuzzy inverse Fisher discriminant analysis (FIFDA) based on the inverse fisher discriminant criterion and fuzzy set theory. Experiments on the ORL and FERET face databases show that the new method outperforms the Fisherface and the inverse fisher discriminant analysis.
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