基于形态学的红外图像边缘检测

doi:10.13190/j.jbupt.2020-109

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (1): 66-71.doi: 10.13190/j.jbupt.2020-109

基于形态学的红外图像边缘检测

王睿男¹, 武穆清¹, 陈铁英², 李志刚², 孙建²

1. 北京邮电大学信息与通信工程学院, 北京 100876;
2. 浙江梧斯源通信科技股份有限公司, 杭州 310030

收稿日期:2020-08-06 出版日期:2021-02-28 发布日期:2021-09-30
通讯作者: 陈铁英(1976-),男,工程师,E-mail:chentieying@woosiyuan.com. E-mail:chentieying@woosiyuan.com
作者简介:王睿男(1996-),男,硕士生.

Edge Detection of Infrared Image Based on Morphology

WANG Rui-nan¹, WU Mu-qing¹, CHEN Tie-ying², LI Zhi-gang², SUN Jian²

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Zhejiang Woosiyuan Communication Technology Company Limited, Hangzhou 310030, China

Received:2020-08-06 Online:2021-02-28 Published:2021-09-30

摘要/Abstract

摘要： 为了提高红外图像边缘检测的性能，提出了一种基于形态学的红外图像边缘检测算法，改进了仅依靠单一方向和采用固定方向权重的边缘检测算法.通过使用多方向结构元素对图像边缘进行提取，采用方向自适应权重进行加权融合，得到图像边缘检测的结果.实验结果表明，该方法能够有效地抑制图像中的噪声，提取的图像边缘更加完整，提高了红外图像边缘检测的效果.

关键词: 边缘检测, 红外图像, 形态学, 自适应权重

Abstract: To improve the performance of infrared image edge detection,an edge detection algorithm based on morphology is proposed. This method improves the edge detection algorithm that only uses a single direction and fixed direction weights. It uses multi-directional structural elements to extract the edges of the image,and uses the direction adaptive weighted fusion method to obtain final results. Simulations show that the method can effectively suppress the noise in the image and make the extracted image edge more complete which improve the effect of infrared image edge detection.

Key words: edge detection, infrared image, morphology, adaptive weight

中图分类号:

TP391.41

王睿男, 武穆清, 陈铁英, 李志刚, 孙建. 基于形态学的红外图像边缘检测[J]. 北京邮电大学学报, 2021, 44(1): 66-71.

WANG Rui-nan, WU Mu-qing, CHEN Tie-ying, LI Zhi-gang, SUN Jian. Edge Detection of Infrared Image Based on Morphology[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(1): 66-71.

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基于形态学的红外图像边缘检测

Edge Detection of Infrared Image Based on Morphology

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