加权均值滤波在机场跑道路面裂纹图像检测中的应用
Application of Weighted Mean Filter in Image Analysis of Pavement Cracks on Airport Field Runway
摘 要
图像去噪是图像处理中的一个重要环节。基于均值滤波和中值滤波的经典算法, 结合数字图像处理技术, 以拍摄的直升机机场跑道路面裂纹图像作为研究对象, 提出了一种改进的加权均值滤波算法, 并通过仿真给出了试验效果图及数据结果。结果表明: 改进的加权均值滤波算法较传统均值滤波能更好地保护图像的细节, 失真小, 在去除噪声的同时较好地保留边缘等细节信息, 降低了图像处理后的模糊化程度, 优于经典的滤波算法。该研究为机场跑道路面裂纹图像检测提供了一种新方法。
滤波
加权法
峰值信噪比
image de-noising
filter
weighted method
peak signal to noise ratio
Abstract
The image de-noising is an important link in image processing. Based on the algorithm of mean filter and median filter, with the digital image processing technology, the image of the pavement cracks of helicopter airport runway was taken as the research object, an advanced weighted mean filter was suggested, and the experimental effect chart and the data via the simulation were given. The results showed that, the improved algorithm of weighted mean filter was better than mean filter in protecting the details of the image, and smaller in distortion. It can also reduce the ambiguity of image better than typical filtering algorithm. The studies of the image of the pavement cracks of airport runway provided a new method for image testing.
中图分类号 TP39
所属栏目 试验与研究
基金项目 教育部博士点专项基金资助项目(20093218110024); 国际合作基金资助项目(BZ2010060)
收稿日期 2011/10/29
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备注任峰(1984-), 男, 硕士研究生。
引用该论文: REN Feng,ZHAO Zhi-min,ZHANG Lin,SHEN Ling-bin,JI Ren-dong,QIAN Jun. Application of Weighted Mean Filter in Image Analysis of Pavement Cracks on Airport Field Runway[J]. Physical Testing and Chemical Analysis part A:Physical Testing, 2012, 48(7): 428～431
任峰,赵志敏,张林,沈令斌,季仁东,钱骏. 加权均值滤波在机场跑道路面裂纹图像检测中的应用[J]. 理化检验－物理分册, 2012, 48(7): 428～431
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【8】颜兵,王金鹤,赵静.基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011,21(2):51-53.
【9】KEYOU Y, MINYUE F, LIHUA X. Mean square stability for Kalman filtering with Markovian packet losses[J]. Automatica,2011, 47(12):2647-2657.
【10】MICHAEL B, ALEXANDER L, MIGUEL H G. Mean-square filtering for uncertain linear stochastic systems[J].Signal Processing,2010,90(6):1916-1923.
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【12】孙即祥.图像处理[M] .北京:科学出版社,2004:162-163.
【13】芮杰,吴冰,秦志远,等.一种稳健的自适应图平滑算法[J].中国图像图形学报,2005,10(1): 54-58.
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【17】常瑞娜,穆晓敏,杨守义,等.基于局部空间像素特征的自适应加权滤波算法[J].计算机工程与应用,2008,44(6):45-47.
【18】李秀峰,苏兰海,陈华,等.改进均值滤波算法及应用研究[J].微计算机信息,2008,24(1):235-236.
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