一种新的红外热像仪图像边缘检测方法

夏清; 胡振琪; 位蓓蕾; 王亚云; 陈超

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一种新的红外热像仪图像边缘检测方法

夏清, 胡振琪, 位蓓蕾, 王亚云, 陈超

文章导航 > 红外与激光工程 > 2014 > 43(1): 318-322

夏清, 胡振琪, 位蓓蕾, 王亚云, 陈超. 一种新的红外热像仪图像边缘检测方法[J]. 红外与激光工程, 2014, 43(1): 318-322.

引用本文:

夏清, 胡振琪, 位蓓蕾, 王亚云, 陈超. 一种新的红外热像仪图像边缘检测方法[J]. 红外与激光工程, 2014, 43(1): 318-322.

Xia Qing, Hu Zhenqi, Wei Beilei, Wang Yayun, Chen Chao. New edge detection method for images of infrared thermal imager[J]. Infrared and Laser Engineering, 2014, 43(1): 318-322.

Citation:

Xia Qing, Hu Zhenqi, Wei Beilei, Wang Yayun, Chen Chao. New edge detection method for images of infrared thermal imager[J]. Infrared and Laser Engineering, 2014, 43(1): 318-322.

一种新的红外热像仪图像边缘检测方法

1.
中国矿业大学(北京)土地复垦与生态重建研究所,北京100083

基金项目:

中央高校基本科研业务费专项资金(2010YD03)

详细信息

作者简介:
夏清（1987-），女，博士生，主要从事红外图像处理、摄影测量与遥感研究。Email：xiaqingfriendxia@126.com

中图分类号: TP751.1

New edge detection method for images of infrared thermal imager

1.
Institute of Land Reclamation and Ecological Reconstruction,China University of Mining and Technology (Beijing),Beijing 100083,China

摘要: 针对红外热像仪采集的红外影像边缘信息模糊、影像存在噪声、边缘信息难提取的特点，提出了一种基于数学形态学对LOG算子改进和Roberts算子数据相结合的边缘检测新方法。该方法首先引进形态学中的开闭运算对具有随机噪声的红外影像进行滤波，接着运用拉普拉斯算法边缘检测，然后再采用Roberts算子提取边缘信息，建立相应的融合规则及阈值条件，将两种方法检测出的影像边缘信息融合，得到最终的融合影像。最后，对增加椒盐噪声的影像用MATLAB进行仿真实验，结果表明，该方法结合了两种检测算子的优点，定位精度高，有很强的抗噪性，获得了比较理想的检测效果。
- 影像处理 /
- 边缘检测 /
- 数学形态学 /
- LOG算子 /
- 红外影像
Abstract: According to the character of fuzzy image edge, noise image, difficult to extract the edge information collected by infrared thermal imager, a new edge detection method was proposed. The method combined LOG operator improved by mathematical morphology with Roberts operator. First the thermal infrared camera images with random noise was filtered using opening and closing operation of mathematical morphological. Then the Laplace algorithm was used for edge detection of thermal infrared images. Second, Roberts operator was introduced to extract edge information. Fusing edge information of images detected by two methods, at the same time, establishing corresponding fusion rule and the threshold condition were applied for this images, the final fused image was obtained. Finally, MATLAB was introduced to perform the experimental simulation for adding salt and pepper noise image. The experimental results show that the method has the advantages of two detection operators and has a good effect in noise suppression and positioning accuracy. Meanwhile the proposed algorithm is insensitive to noise and ideal detection results are obtained.
- image processing /
- edge detection /
- mathematical morphology /
- the improved LOG operator /
- infrared image

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一种新的红外热像仪图像边缘检测方法

1. 中国矿业大学(北京)土地复垦与生态重建研究所,北京100083

作者简介:
夏清（1987-），女，博士生，主要从事红外图像处理、摄影测量与遥感研究。Email：xiaqingfriendxia@126.com

收稿日期: 2013-04-05
修回日期: 2013-05-18
刊出日期: 2014-01-25

基金项目:

中央高校基本科研业务费专项资金(2010YD03)

中图分类号: TP751.1

关键词:

摘要: 针对红外热像仪采集的红外影像边缘信息模糊、影像存在噪声、边缘信息难提取的特点，提出了一种基于数学形态学对LOG算子改进和Roberts算子数据相结合的边缘检测新方法。该方法首先引进形态学中的开闭运算对具有随机噪声的红外影像进行滤波，接着运用拉普拉斯算法边缘检测，然后再采用Roberts算子提取边缘信息，建立相应的融合规则及阈值条件，将两种方法检测出的影像边缘信息融合，得到最终的融合影像。最后，对增加椒盐噪声的影像用MATLAB进行仿真实验，结果表明，该方法结合了两种检测算子的优点，定位精度高，有很强的抗噪性，获得了比较理想的检测效果。

English Abstract

New edge detection method for images of infrared thermal imager

1. Institute of Land Reclamation and Ecological Reconstruction,China University of Mining and Technology (Beijing),Beijing 100083,China

Received Date: 2013-04-05
Rev Recd Date: 2013-05-18
Publish Date: 2014-01-25

Keywords:

Abstract: According to the character of fuzzy image edge, noise image, difficult to extract the edge information collected by infrared thermal imager, a new edge detection method was proposed. The method combined LOG operator improved by mathematical morphology with Roberts operator. First the thermal infrared camera images with random noise was filtered using opening and closing operation of mathematical morphological. Then the Laplace algorithm was used for edge detection of thermal infrared images. Second, Roberts operator was introduced to extract edge information. Fusing edge information of images detected by two methods, at the same time, establishing corresponding fusion rule and the threshold condition were applied for this images, the final fused image was obtained. Finally, MATLAB was introduced to perform the experimental simulation for adding salt and pepper noise image. The experimental results show that the method has the advantages of two detection operators and has a good effect in noise suppression and positioning accuracy. Meanwhile the proposed algorithm is insensitive to noise and ideal detection results are obtained.