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Simulation results have confirmed the possibility to reduce significantly the time spent in the image segmentation for small size images without decreasing of segmentation accuracy. The behavior of the method in big images regarding the value of the difference D is under the expected. In future, it is expected to correct the proposed approach applying novel fuzzy logics rules. The tool used in this...
In image segmentation it is well known that a given image can be analyzed with different detail levels, this is why some hierarchical approaches have been proposed to give a different segmentation for each detail level. Most of these proposals are specially designed for precise and well defined regions. However regions usually have blurred contours, soft color shades, and brightness that give rise...
In this paper we propose a technique to obtain a set of crisp representatives of an imprecise region in color images. In our approach, we start by obtaining a fuzzy model of the region by employing a fuzzy region growing procedure. The set of crisp representatives is obtained from that model as the set of alpha-cuts corresponding to maximal variations of homogeneity. Several experiments and a comparison...
In this paper we introduce an approach to automatically select a homogeneity measure for color image segmentation, on the basis of the characteristics of the region to be segmented. In a previous work we presented a fuzzy color path-based image segmentation proposal where membership degrees were computed from the connectivity between pixels, based on the homogeneity degree of the path joining them...
In this paper we study different measures of path homogeneity for fuzzy path-based image segmentation. We provide fuzzy semantics for the concept of homogeneity in two steps: first, we introduce a fuzzy interpretation of resemblance between feature vectors characterizing neighbor pixels; then, we obtain the homogeneity of a path by aggregating the set of fuzzy resemblances between consecutive pixels...
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