Notice of Retraction Image fault area detection algorithm based on visual information integrate model

Abstract

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.