Edge detection algorithm of noisy image based on artificial neural network

Abstract

In order to improve the edge performance of the noisy image, based on the analysis of the image edge noise, the artificial neural network was used to respond and identify the noise, and then all the noise data were obtained, and the noise was filtered. Firstly, according to the noise coefficient characteristics of the image, the image edge information was divided into various types. Secondly, the edge detector was used as the neuron of noise feature, and the antibody was used as neural feedback in the artificial neural network, image edge information was fused and output. Finally, the detection of image edge information is realized. The results show that compared with the traditional algorithm, the edge performance of noisy image is improved, and the detection time is shortened in the case of more edge points.

Keywords

• artificial neural network
• noisy image
• edge detection
• noise filter
• noise coefficient