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In this paper, in order to overcome the deficiencies of Polana's method and fuzzy alternation entropy method, we presented a technique of image segmentation that integrates these both into a system. The experiment results show that our method is robust and effective.
In this paper, we present a new thresholding approach by local fuzzy entropy based competitive fuzzy edge detection for image segmentation which assign appropriate threshold effectively and reduces the affects of noise in edge detection and segmentation. In this algorithm first, edges detected by fuzzy logic and competitive rules, then there would be improvement in quality obtained edges by fuzzy...
Particle swarm optimization (PSO) has recently emerged as a simple yet very efficient algorithm for global optimization over continuous spaces. This article describes the application of an improved variant of PSO to the segmentation of objects from complicated real life images. The segmentation task amounts to finding a robust and optimal threshold that separates an object from a background frame...
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