Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings
Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings
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DOI：
10.1007/978-3-540-73400-0
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发表时间：
2007-08
期刊：
影响因子：
7.4
通讯作者：
F. Masulli;S. Mitra;G. Pasi
中科院分区：
文献类型：
--
作者：
F. Masulli;S. Mitra;G. Pasi
通过归一化其像素值，任何图像被解释为模糊关系，其最大特征模糊集相对于最大-最小组成和最小特征模糊集相对于最小-最大组成被用于遗传算法的图像重建范围。图像染色体形成群体，并且基于每个图像染色体和相关原始图像的上述本征模糊集的适应度函数用于执行选择算子。重建的图像是具有最高适应值的图像染色体。
By normalizing the values of its pixels, any image is interpreted as a fuzzy relation whose the greatest eigen fuzzy set with respect to the max − min composition and the smallest eigen fuzzy set with respect to the min − max composition are used in a genetic algorithm for image reconstruction scopes. Image-chromosomes form the population and a fitness function based on the above eigen fuzzy sets of each image-chromosome and of the related original image is used for performing the selection operator. The reconstructed image is the image-chromosome with the highest value of fitness.