太赫兹科学与电子信息学报Issue(4)：609-613,5.DOI:10.11805/TKYDA201304.0609
航拍图像中玻璃绝缘子自爆缺陷的检测及定位
Defects detection and positioning for glass insulator from aerial images
摘要
Abstract
By analyzing the characteristics of the glass insulator and its defects in aerial images of the unmanned aerial vehicle inspection system, a method is presented to extract glass insulator and detect defects. The OTSU's thresholding method is applied to H and S components in Hue,Saturation,Intensity (HSI) color space for image segmentation; and then, the distribution of the contours' angle and area is calculated by using the histogram method to obtain the position of glass insulators accurately. Feature detection algorithm is proposed to detect the glass insulators and mark out the defects. Experimental results indicate that the method can mark the location of the defects accurately in the aerial images with natural background, which has a good practical value.关键词
航拍图像/绝缘子识别/缺陷检测/最大类间方差(大津)法Key words
aerial image/insulators extraction/detect defects/maximal variance between clusters (OTUS) method分类
信息技术与安全科学引用本文复制引用
张少平,杨忠,黄宵宁,吴怀群,顾元政..航拍图像中玻璃绝缘子自爆缺陷的检测及定位[J].太赫兹科学与电子信息学报,2013,(4):609-613,5.基金项目
高等学校博士学科点专项科研基金资助项目(20113218110013) （20113218110013）
