Open AccessColor image segmentation based on the principle of maximum degree of membership
Author(s) -
Yanmei Liang,
Hongchen Zhai,
Shengjiang Chang,
Siyuan Zhang
Publication year - 2003
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.52.2655
Subject(s) - artificial intelligence , pattern recognition (psychology) , color histogram , image segmentation , computer vision , computer science , membership function , pixel , degree (music) , color image , basis (linear algebra) , image (mathematics) , fuzzy set , color normalization , mathematics , fuzzy logic , image processing , physics , geometry , acoustics
A new approach of color image segmentation based on the principle of MDM(maximum degree of membership)for fuzzy pattern recognition is reported in this paper. The colors of target and background obtained from the color histogram of the color image can be used to set some color fuzzy-sets, to which, based on the principle of MDM, the degrees of membership of colors of all pixels in the image in these fuzzy sets are calculated to determine their memberships. A MDM-radial basis function neural network is implemented to segment color images with higher speed and efficiency.