Journal of Uncertain Systems, Vol1 No3, 2007, August, World Academic Union (World Academic Press)
نویسندگان
چکیده
By normalizing the values of its pixels with respect to the length of the gray scale used, a monochromatic image is interpreted as a fuzzy relation R. We find the GEFS (resp. SEFS) of R, that is the greatest (resp. smallest) eigen fuzzy set with respect to the max-min (resp. min-max) operator. The reconstruction of R is achieved via a genetic algorithm whose initial population of chromosomes is formed by random gray images. The fitness function is based on the GEFS and SEFS of R and of each image-chromosome: the reconstructed image is the image-chromosome with the highest fitness v alue. I n o ur tests w e h ave u sed 3 50 i mages o f s izes 2 56 × 256 ex tracted f rom t he S IDBA i mage d ataset consisting of 10000 images (www.cs.cmu.edu/~cil/ vision.html). © 2010 World Academic Press, UK. All rights reserved.
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Journal of Uncertain Systems, Vol1 No3, 2007, August, World Academic Union (World Academic Press)
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متن کاملJournal of Uncertain Systems, Vol1 No3, 2007, August, World Academic Union (World Academic Press)
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