(燕山大学 信息科学与工程学院， 河北 秦皇岛 066004)
关键词：边缘检测； 神经网络； 模糊算法； 隶属度函数
Image edge detection based on neural network and fuzzy algorithm
JIA Chao, ZOU Qi, YAO Fang, WANG Bei-bei, AI Dong
(College of Information Science & Engineering, Yanshan University, Qinhuangdao Hebei 066004, China)
Abstract:Considering the disadvantages in the traditional image edge detection methods, such as rough edge, noise edge and inaccurate edge location,this paper proposed a novel edge detection approach which was the combination of neural network with fuzzy algorithm to solve above problems. First, according to the character of image, the image was divided into high frequency and low frequency, and processed respectively. It applied the method of LVQ (learning vector quantization) double-layer neural network to the high frequency part of image. The noise could be suppressed effectively with this method. Then using the fuzzy algorithm for the low frequency part of image, thus weak edges could be detected with high quality, and the target could be separated from the background clearly. Finally, combined the two images from former methods. The experimental result demonstrates that the effect of the edge detection is greatly improved comparing with the traditional edge detection methods.......