Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)
Author(s) -
Mohammad Saber Iraji,
Azam Tosinia
Publication year - 2012
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2012.04.05
Subject(s) - adaptive neuro fuzzy inference system , artificial intelligence , color space , ycbcr , computer vision , computer science , artificial neural network , segmentation , pattern recognition (psychology) , fuzzy logic , color image , image processing , fuzzy control system , image (mathematics)
In this paper, an efficient and accurate method for human color skin recognition in color images with different light intensity will proposed .first we transform inputted color image from RGB color space to YCBCR color space and then accurate and appropriate decision on that if it is in human color skin or not will be adopted according to YCBCR color space using fuzzy, adaptive fuzzy neural network(anfis) methods for each pixel of that image. In our proposed system adaptive fuzzy neural network(anfis) has less error and system worked more accurate and appropriative than prior methods.
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