| 基于图像局部均值标准差算法的沥青路面裂缝检测 |
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| 引用本文： | 罗玉柱.基于图像局部均值标准差算法的沥青路面裂缝检测[J].测绘与空间地理信息,2017(12):167-170. |
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| 作者姓名： | 罗玉柱 |
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| 作者单位： | 辽宁工程技术大学测绘与地理科学学院,辽宁阜新,123000 |
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| 摘 要： | 通过分析沥青路面的特性,本文提出了一种适用于沥青路面裂缝检测的图像处理算法。通过计算图像局部像素均值、横向与纵向相邻局部像素均值的均值以及两均值的标准差,结合滤波以及基于像片晒相原理的匀光操作来抑制图像背景的噪声出现,缓解灰度不均匀现象,突出沥青裂缝特征。采用分块图像处理方案,实现路面影像的裂缝提取。实验结果表明,本算法对裂缝线性特征敏感,检测效果较好。
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| 关 键 词： | 路面裂缝 噪声 均值 标准差 |
Asphalt Pavement Crack Detection Based on Image Local Mean Standard Deviation Algorithm |
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| Abstract: | This paper analyzes the characteristics of asphalt pavement,and puts forward an image processing algorithm which is suitable for asphalt pavement crack detection.By calculating the local pixel mean of the image,mean and standard deviation of the mean of the adjacent pixels in the horizontal and vertical direction.Based on the principle of photo drying phase,the noise of image background is suppressed,and the phenomenon of uneven gray level is alleviated.Using block image processing program to achieve the pavement image crack extraction.The experimental results show that the method is sensitive to the linear feature of the crack based on the local mean standard deviation of the image,and the result is better. |
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| Keywords: | pavement crack noise mean value standard deviation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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