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In this paper, we describe three new soft computing methods for segmentation of both gray level and color images by using a fuzzy entropy based cost function for the genetic algorithm. The presented methods allow us to find optimized set of parameters for a predefined cost function. Particularly, we found the optimum set of membership functions by maximizing the fuzzy entropy and based on the membership...
In this paper, we describe a new soft computing method for segmentation of both gray level and color images by using a fuzzy entropy based criteria (cost function), the genetic algorithm, and the evolutionary computation techniques. The presented method allow us to find optimized set of parameters for a predefined cost function. Particularly, we found the optimum set of membership functions by maximizing...
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