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- W2360678997 abstract "The common fabric defects were classified by according to their characteristic.The defect images are pretreated by series of methods, such as histogram transformation, two-value transformation,middle-value wave flitting,eroding and dilating. Then some characteristic parameters of each defect were acquired. After that, artificial BP neural network was used to identify the classification of fabric defects. The results show that it is effective to identify and classify the fabric defects by using BP neural network." @default.
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- W2360678997 date "2007-01-01" @default.
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- W2360678997 title "Detection of Fabric Defect Based on Artificial Neural Network" @default.
- W2360678997 hasPublicationYear "2007" @default.
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