Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 197-200.doi: 10.11896/j.issn.1002-137X.2016.11A.044

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Leather Image Color Classification Method Based on Texture Removing

ZHENG Hong-bo, CHEN Yu, ZHAO Hai, QIN Xu-jia and ZHANG Mei-yu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at the existence of natural texture in leather image,leather’s concavo-convex structure texture makes leather image brightness change obviously,which affects the accuracy of color classification.A leather image color classification method based on texture removing was proposed.A relative total variation model was used to remove the texture of leather image and the average color components (L*a*b*) were used o represent color features based on L*a*b* color space’s strong ability to distinguish colors.Finally,the support vector machine was used to classify the leather image.Experiment shows the method can distinguish leather color image accurately and achieve leather image color classification,and the method is feasible.

Key words: Leather image,Color feature,Texture remove,Classifier

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