| 一种基于阈值分割的红外图像边缘检测方法 |
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| 引用本文： | 潘东杰,邓涛.一种基于阈值分割的红外图像边缘检测方法[J].电子科技,2010,23(6):52-54,58. |
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| 作者姓名： | 潘东杰 邓涛 |
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| 作者单位： | （西安电子科技大学 技术物理学院,陕西 西安 710071） |
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| 摘 要： | 针对红外图像对比度和信噪比低,经典的图像边缘检测方法对实际图像难以检测的特点,提出了一种基于阈值分割的边缘检测算法。首先利用最大方差阈值法分割出红外图像的目标图像,其次用线性拉伸的方法对目标图像中存留的噪声进行去除,最后运用Sobel算子对目标图像进行边缘检测得到结果图像,并与经典的Roberts边缘检测算法、Sobel检测算法、Prewwit检测算法、Gauss-Laplacian检测算法进行比较。实验结果显示该检测方法是可行、有效的。
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| 关 键 词： | 红外图像 阈值分割 边缘检测 |
A Method of Infrared Image Edge Detection Based on Threshold Selection |
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| Pan Dongjie,Deng Tao.A Method of Infrared Image Edge Detection Based on Threshold Selection[J].Electronic Science and Technology,2010,23(6):52-54,58. |
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| Authors: | Pan Dongjie Deng Tao |
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| Affiliation: | (School of Technical Physics,Xidian University,Xi'an 710071,China) |
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| Abstract: | Given the characteristics of low S/N,low contrast and difficult detection by classical infrared image detection,a method of infrared image edge detection on threshold selection is presented.First,the target image is estimated by the threshold of maximal deviation.Then the noise in the target image is dealt with by gray transformation.Finally,the edge is detected by Sobel Operater again.A comparison with classical Roberts,Sobel,Prewwit,and Gauss-Laplacian shows that this method is practical and effective. |
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| Keywords: | infrared image threshold segment edge detection |
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