摘要
图象边缘检测是计算机图象处理的最基本步骤之一。由于噪声的干扰和图象光照不均匀等因素的影响,目前的图象边缘检则方法还不能有效地检测出各种不同模式的边缘。在分析了几种常用边缘检测方法及其存在的检测精度不高,抗噪声性能较差等不足基础上,给出了一种基于遗传算法和梯度算子的图象边缘检测算法,该算法明显提高了检测精度和抗噪声能力。
Edge detection is one of the fundamental steps on the image processing, Due to the affection of the noise and unbalanced light source, no method can detect the edges of all modals. Through analyzing several kinds of edge detection methods, it is low in detection precision, and it is relatively bad to resist noise performance, So this article propose an edge detection algorithm in image based on the genetic algorithm and gradient operators. This algorithm obviously improves the detection precision and the ability to resist noise, further more analyzing its suitable environment through the experiment.
出处
《微计算机信息》
北大核心
2007年第02X期306-308,共3页
Control & Automation
基金
河南省自然科学基金项目(0611054800)
关键词
图象分割
边缘检测
遗传算法
Image segmentation,Edge detection,Genetic algorithm.
