The code is the human face of light treatment, the first for gamma conversion, and then Dog bilateral filtering, then the brightness of the gray balance. The method can effectively improve the illumination changes in the case of system identification performance

amfg07-demo-v1
..............\02463d254.pgm
..............\02463d282.pgm
..............\Addreadme.txt
..............\LICENSE.txt
..............\README.txt
..............\contents.m
..............\demo.asv
..............\demo.m
..............\dist_chi2.m
..............\dist_lbp_disttrans.m
..............\fftcoord.m
..............\gauss.m
..............\gaussianfilter.m
..............\is_uniform_pattern.m
..............\lbp_histo.m
..............\lbp_image.m
..............\lbp_image_set0.m
..............\lbp_image_set2.m
..............\ltp_image.m
..............\ltp_image_set0.m
..............\ltp_image_set2.m
..............\mask.mat
..............\preproc2.m
..............\uniform_pattern.m
光照预处理.pdf
基于改进型LBP特征的人脸识别方法研究.pdf

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