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This paper presents a wavelet-based image fusion method, in which the self-organizing particle swarm optimization algorithm is applied to image fusion based on region energy. In order to find image fusion by the optimal threshold particles are firsthand formed by thresholds. With comprehensive consideration of the parameters that affect the performance the algorithm, acceleration factors and inertia...
Thresholding plays an important role in image processing. To select a suitable threshold requires some criteria on which to base the selection. A criterion of maximum fuzzy entropy is developed for selecting the threshold. In this algorithm, the degree of ambiguity in an image is measured by the entropy of a fuzzy set. The threshold is selected by maximizing the fuzzy entropy of the image. The...
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