Longitudinal tear detection of conveyor belt under uneven light based on Haar-AdaBoost and Cascade algorithm

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For conveyor belt vertical tear fault, in order to shoot image the high speed camera of gigabit network which used in industry is used in this paper. And every frame image is transferred to PC, whether the image tear in the PC will be identified. Compare with the identifying tape image which is transferred to the PC of longitudinal tear in average filtering and median filtering is studied in this paper, to obtain the best way to detecting tear, and using C# language which is under Visual Studio to write image collection, processing, time-frequency transformation and recognition programs.


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