加权均值滤波在机场跑道路面裂纹图像检测中的应用

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。

Application of Weighted Mean Filter in Image Analysis of Pavement Cracks on Airport Field Runway

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.