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- W2356586529 abstract "According to the randomness of the size and direction of steel cord conveyor belt fault,an algorithm based on Gabor and image fusion is proposed to detect the steel cord conveyor belt fault.The mean and variance of steel cord conveyor belt image with regular texture structure is calculated.The image is filtered by Gabor in the multi-scale and multi-direction respectively.By comparing the response of different filter with the mean response of this image,characteristic difference information can be obtained,and it is normalized.The different channels of the normalized characteristic difference information are carried out for data fusion,a complete characteristics image is synthesized by means of the weighted average.Fault region detected is extracted by threshold segmentation,achieving the detection of steel cord conveyor belt fault.Results show that the method is simple and feasible,the recognition ability is strong through the detection of four kinds of typical conveyor belt fault." @default.
- W2356586529 created "2016-06-24" @default.
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- W2356586529 date "2011-01-01" @default.
- W2356586529 modified "2023-09-26" @default.
- W2356586529 title "Fault Detection of Steel Cord Conveyor Belt Based on Gabor and Image Fusion" @default.
- W2356586529 hasPublicationYear "2011" @default.
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