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On account of out-of-date and low efficiency detection mode for large dimension auto rack girder, it is presented that is the Machine Vision on-line detection system for auto rack girder Based on RBF and linear structured light. It is corrected according to the error of RBF neural network for camera lens. Taken advantage of RBF characteristic that approximating high order input and output nonlinear...
For typepsilas recognition of camion rack girders, this paper puts forward a pattern recognition method based on improved ART2 neural network and D-S evidence theory. Firstly, for collected auto rack girders top images, region is partitioned to 16 equal regions ( 4times4 ) , which covers high-frequency wavelet coefficient with one-layer wavelet transform, and gained local variance of wavelet coefficient...
For automatic inspecting kinds of hundreds of camion rack girders, this paper introduces an on-line automatic inspecting method which synthesizes machine vision wavelet transform theory ART2 neural network and D-S evidence theory on auto rack girder. Firstly, for the real-time gathered auto rack girders top image on product line, extracting wavelet decomposed coefficient of image with wavelet transform,...
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