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- W2374576418 abstract "According to the characteristics of wavelet decomposition in singular signals,an innovative method for defect detection based on wavelet decomposition is put forward.Firstly,according to fabric texture characteristics,wavelet functions are identified.Secondly,sub-images are acquired through the fabric image wavelet decomposition.High frequency sub-images are segmented into many sub-windows,in which stand deviation and average weighted sum are taken as characteristics.Lastly,the characteristics are compared with normal sub-window's characteristics to determine whether there is a defect.The experimental result confirms that the proposed method is feasible in rapid defect detection,and the detection average accuracy is over 90%." @default.
- W2374576418 created "2016-06-24" @default.
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- W2374576418 date "2009-01-01" @default.
- W2374576418 modified "2023-09-28" @default.
- W2374576418 title "Fabric Defect Detection Based on Wavelet Decomposition" @default.
- W2374576418 hasPublicationYear "2009" @default.
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