Dna Algorithm and Fuzzy Evolutionary Clustering for Image Reconstruction
نویسنده
چکیده
DNA algorithm and fuzzy evolutionary clustering techniques are used to classify damaged images and to reconstruct the original images. Experimental results show both methods are far more effective than the use of genetic algorithms or c-means clustering. Particularly, the method of fuzzy evolutionary clustering provides very fast convergence and accurate image reconstruction with absolute certainty.
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