JOURNAL OF TEXTILE RESEARCH ›› 2013, Vol. 34 ›› Issue (4): 137-142.

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Fabric defect detection of statistic aberration feature based on GMRF model

  

  • Received:2012-04-16 Revised:2012-10-21 Online:2013-04-15 Published:2013-04-09

Abstract: The GMRF texture model is imported to detect fabric defect automatically in this paper. Firstly, GMRF texture model is introduced and evaluate the parameter of this model. Then, the aroused GMRF model is applied to operate simulation experiment, which test the accuracy of parameter evaluation algorithm and texture synthesize algorithm. Finally, the detecting workflow is designed for fabric defect and detected the real defect fabric automatically. It shows that GMRF model can be used to detect statistic aberration defect which existing the surface of fabric keenly.

Key words: GMRFmodel, texture synthesis algorithm, algorithm, feature extraction, defect detection

CLC Number: 

  • TP311.131
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