一种新的热红外影像边缘检测方法
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Edge extraction algorithm of infrared thermal image based on fuzzy cluster and Sobel operator
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    摘要:

    针对热红外影像中感兴趣温度区边缘信息模糊、对比度弱、影像存在噪声,传统的边缘检测方法难以实现边缘提取的问题,同时考虑到热红外影像边缘的不确定性,提出了一种将多层次梯形模糊增强、模糊C均值聚类以及与Sobel算子相结合的边缘检测方法。该方法首先对热红外影像进行多层次梯形模糊增强,接着运用模糊C均值聚类方法对影像中感兴趣温度目标区进行聚类,提取出目标物体,最后利用Sobel算子对目标物体进行边缘检测。基于MATLAB进行仿真模拟,实验结果表明,该方法具有较高的检测精度,既能检测出模糊影像的边缘,又能提取出传统算法所不能检测出的细节信息,边缘较细,计算量小,获得了比较理想的检测效果。

    Abstract:

    To solve the problem of fuzzy edge information,weak contrast,image noise and difficult to extract thermal infrared image edge by the traditional methods,an edge detection method is proposed by combining multi-level trapezoidal fuzzy enhancement,fuzzy C-means clustering and Sobel operator.Firstly,multi-level trapezoidal fuzzy enhancement is applied in thermal infrared image,then the interesting temperature zone of thermal infrared is classified by using fuzzy C-means clustering to extract the object,finally the edge of the target is detected by Sobel operator.Based on MATLAB,the result shows that the method has higher detection accuracy.It can detect edge information of fuzzy image,and can extract detail information which other methods can’t extract.It obtains single pixel edge and has a small amount of calculation.The method has an ideal effect.

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张振鑫,夏清,王跃宾,崔言辉,陈亚凯.一种新的热红外影像边缘检测方法[J].激光与红外,2014,44(8):942~945
ZHANG Zhen-xin, XIA Qing, WANG Yue-bin, CUI Yan-hui, CHEN Ya-kai. Edge extraction algorithm of infrared thermal image based on fuzzy cluster and Sobel operator[J]. LASER & INFRARED,2014,44(8):942~945

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  • 在线发布日期: 2014-08-27
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