The application and design of neural computation in visual perception

Visual perception is an important way for organisms to perceive the external world. Simulation of visual cognitive process can enhance the cognitive ability of machine vision. Therefore, how to simulate visual perception system and make computer have a high world understanding ability is a hotspot of current neurocomputing. Based on the information processing mechanism of visual perception system, this paper establishes a neural computing model based on visual perception mechanism. The simulation results of standard face database and natural landscape images show that the proposed method can recognize face samples better when other noise samples are added to the face image samples. In landscape contour fitting simulation, the results show that although this method has little advantage for large contour image recognition, but for small contour recognition, this method is obviously superior to other methods.