In the present work an application of fuzzy logic for leather surface defects identification is investigated. The defects create a discontinuity at the surface which leads to regions with different intensities than the background. Binary images are obtained after the segmentation. They contain non-defective (regular texture) and defective structural elements. The objective is to classify the elements and to detect the defective ones. This is done by applying a fuzzy logic technique as the application of different Rule Bases and different numbers of output linguistic terms are investigated.

toolkit
.......\traindata.mat
.......\gmmb_frac2lhood.m
.......\example_script1.m
.......\evaldiaretdb1_configure.m
.......\evaldiaretdb1.m
.......\ddb2
.......\cl_classify.m
.......\ddb2\README.txt
.......\....\ext
.......\....\ddb_xml2markings.m
.......\....\ddb_spatimagescore.m
.......\....\ddb_parsexml.m
.......\....\ddb_marking2mask.m
.......\....\ddb_initmarking.m
.......\....\ddb_imagescore.m
.......\....\ddb_fuse_oneexpert.m
.......\....\ddb_fuse_allexperts.m
.......\....\ddb_floodfill.m
.......\....\ddb_drawpolygon.m
.......\....\ddb_drawellipse.m
.......\....\ddb_drawcircle.m
.......\....\ddb_demo1.m
.......\....\ddb_confidence2num.m
.......\....\ext\mvpr_lread.m
.......\....\...\mvpr_lopen.m
.......\....\...\getargs.m

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