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- W2378023834 abstract "A few of coefficients of Contourlet transform can effectively capture the image edges.Relevance vector machine(RVM) has good generalization ability,it can give a probability measure in the classification.Combined the respective advantage of Contourlet transform and RVM,a Recognition method of fracture image of aerial material based on Contourlet-RVM is proposed.In the proposed method,Contourlet transform is used as the feature extraction,RVM as a classifier.The proposed method has been successfully completed in the recogniton of metal fracture image.At the same time,the proposed method is compared with the Contourlet-SVM recognition method.The experiment result shows that the proposed method is very effective.Whether in the correct recognition rate,or in the training speed,the Contourlet-RVM recognition method is superior to the Contourlet-SVM recognition method." @default.
- W2378023834 created "2016-06-24" @default.
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- W2378023834 date "2013-01-01" @default.
- W2378023834 modified "2023-09-25" @default.
- W2378023834 title "RECOGNITION METHOD OF FRACTURE IMAGE OF AERIAL MATERIAL BASED ON CONTOURLET TRANSFORM AND RELEVANCE VECTOR MACHINE" @default.
- W2378023834 hasPublicationYear "2013" @default.
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