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- W203764861 abstract "Locked bolts on the train after the photos were analyzed to observe the morphological characteristics and a computer vision recognition algorithm based on digital imaging processing was proposed. The algorithm to classify the process including fault orientation, judging the existence of bolts to be seized and whether blots loose or not. Binarizationof the area method Connected region and Hough transform based on gray mapping in conjunction with the gradient mapping were used. Due to the application of analyzing parts of transcendental statistics information to establish vision-invariant, the speed and reliability of detection was greatly enhanced." @default.
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- W203764861 date "2012-10-16" @default.
- W203764861 modified "2023-09-23" @default.
- W203764861 title "Research of Computer Vision Fault Recognition Algorithm of Locked Bolts of Train" @default.
- W203764861 doi "https://doi.org/10.1109/icecc.2012.648" @default.
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