微粒群优化的Canny边缘检测方法

陈燕龙

电脑与电信 ›› 2011, Vol. 1 ›› Issue (05) : 0-0.

电脑与电信 ›› 2011, Vol. 1 ›› Issue (05) : 0-0.
基金项目

微粒群优化的Canny边缘检测方法

  • 陈燕龙
作者信息 +

Improved Edge Detection Algorithm Based on Canny Operator and Particle Swarm Optimization

  • Chen Yanlong
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文章历史 +

摘要

通过对Canny算法进行改进,提出了一种基于量子行为的微粒群优化算法的边缘提取算法。改进算法对噪声抑制效果明显,能够删除伪边缘,得到精确的边缘。实验结果表明,该算法在保证实时性的同时,具有很好的检测精度和准确度。

Abstract

To make some improve to the canny algorithm,we bring forward an improved edge detection algorithm based on an improved particle swarm optimization algorithm.The improved algorithm can enhance the capability of suppressing noise,delete false edges and obtain exact edges.Experimental results indicate the feasibility and validity of the improved algorithm.

关键词

 边缘检测 / Canny算子 / 微粒群优化 / 图像处理

Key words

edge detection / Canny operator / particle swarm optimization / image processing

引用本文

导出引用
陈燕龙. 微粒群优化的Canny边缘检测方法[J]. 电脑与电信. 2011, 1(05): 0-0
Chen Yanlong. Improved Edge Detection Algorithm Based on Canny Operator and Particle Swarm Optimization[J]. Computer & Telecommunication. 2011, 1(05): 0-0

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