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INTEGRATED APPROACH FOR DEFECT DETECTION IN CERAMIC TILES

Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.3, No. 2)

Publication Date:

Authors : ; ;

Page : 259-262

Keywords : feature extraction; GLCM; SVM; KNN and Bayesian;

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Abstract

Quality control is an important issue in the ceramic tile industry. Price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an integrated? defect detection and classification technique has been proposed which plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles.GLCM extracts the? texture features and these features? together with color features are used for analysis in classifiers such as SVM, KNN and Bayesian. Experimental results illustrated that? every classifier gives highest accuracy with HSV.

Last modified: 2016-06-30 14:17:27