火力与指挥控制Issue(z1)：95-97,3.
一种基于Canny算子的红外图像边缘检测算法
Infrared Image Edge Detection Algorithm Based on Improved Canny Algorithm
郭慧鑫 1牛竹云 1郭会兵 1于红娟 1闫建鹏1
作者信息
- 1. 北方自动控制技术研究所，太原 030006
- 折叠
摘要
Abstract
Edge detection is the key technology of image feture extraction.In the traditional Canny edge detection algorithm,gaussian filter variance do not have the adapt ability,and can not effectively filter the specific noise of infrared image,have limitations for the edge extraction of infrared image.This paper deeply study the Canny edge detection algorithm and analysis the infrared image noise type,aim at the question that gaussian filter influents the denoising and edge preserving of infrared image,put forward the improved Canny algorithm using morphological filtering instead of gaussian filtering. The simulation verify the effectiveness of this method. Improved algorithm can effectively extract the edge of infrared image with noise,effectively keep the edge strength and details of infrared image.关键词
Canny算子/红外图像/形态学滤波/边缘检测Key words
Canny operator/infrared image/morphological filter/edge detection分类
信息技术与安全科学引用本文复制引用
郭慧鑫,牛竹云,郭会兵,于红娟,闫建鹏..一种基于Canny算子的红外图像边缘检测算法[J].火力与指挥控制,2014,(z1):95-97,3.
