基于颜色和纹理特征提取的接地网腐蚀等级分析

Analysis of Grounding Grid Corrosion Grade Based on Extraction of Color and Texture

针对目前我国发变电站接地网材料普遍采用的碳钢材料易腐蚀,且人眼判别腐蚀情况误差较大的问题,提出了采用图像处理技术对采集的腐蚀图像进行颜色和纹理特征提取以及分析的方法。首先,在亮度/色度彩色空间中,采用亮度色度非线性重组对腐蚀图像进行增强处理;其次,通过局部特征一致性,采用Gabor滤波器和彩色空间提取图像的颜色、纹理和梯度幅值等特征;然后,采用人工蜂群算法得到分割图像的最佳种子点和最佳相似值,采用种子区域增长将图像分割成小的腐蚀区域;最后,度量这些小的腐蚀区域的相似性,从而完成腐蚀等级的分析。

Because carbon steel materials are widely used as the grounding grid materials of substations in our country nowadays,which are easily corroded and the error of human judgment for corrosion is large,this paper proposed a method of using image processing technology to deal with the color and features extraction. Firstly, nonlinear restructuring of luminance and chrominance was used to enhance the corrosion image in the luminance/chrominance color space. Second- ly,the main features of an image, including color, texture and gradient magnitude, were measured by using the local homogeneity,Gabor filter and color spaces. Then,artificial bee colony algorithm was used to get the best seeds and the best similar values of image, and seeded region growing was used to segment image into small areas of corrosion. Finally, the similarity of these small corroded areas was measured. Thereby the analysis of corrosion levels was completed.