Space arrangement of basic functions of the natural scenes decomposed by basic ICA which simulates visual perception is chaotic. The result is contradicted with physiological mechanisms of vision. So, we put up with a new model to solve the problem which based on the information integrate mechanism in visual cortex receptive fields. And, to solve the problem of train image fault area detection, a novel algorithm is proposed by using this new model. Experimental results show that the new algorithm can increase fault detection rate with high efficiency and little samples compared with traditional methods which absence of the visual information integrate mechanisms.
Keywords-Visual information integrate; topology basic functions; neuronal response; fault detectionI.
A novel method based on the visual perception mechanism was proposed for solving the problem of fault-image detection of the running train. The detection of swing bolster crack could be achieved in high efficiency with small samples. Firstly, the receptive field of simple cells in the primary visual cortex was obtained from the image sequence by using the ICA model. Secondly, the neuron response of normal and fault image was calculated, then the neuron responding stronger to the stimulus could be found out, and its corresponding content for fault detecting could be output as well. Experimental results demonstrated that this novel method had a high fault-detecting rate.
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