CAJ | 학술논문

在分析输电线路无人机巡检系统航拍图像中绝缘子及其自爆缺陷特征的基础上，提出一种玻璃绝缘子自爆缺陷的检测及定位方法。该方法首先在色调、色饱和度、亮度(HSI)颜色空间分别对 H(Hue)和 S(Saturation)分量运用最大类间方差法(OTSU)分割图像，获取绝缘子前景连通域；之后，运用直方图方法对检测到的前景轮廓的倾角和面积分布进行统计，准确识别绝缘子轮廓；最后，设计了一种特征检测算法，检测并标记自爆绝缘子位置。实验证明该方法能从自然背景中准确检测并定位绝缘子自爆缺陷，具有较好的工程应用价值。
재분석수전선로무인궤순검계통항박도상중절연자급기자폭결함특정적기출상，제출일충파리절연자자폭결함적검측급정위방법。해방법수선재색조、색포화도、량도(HSI)안색공간분별대 H(Hue)화 S(Saturation)분량운용최대류간방차법(OTSU)분할도상，획취절연자전경련통역；지후，운용직방도방법대검측도적전경륜곽적경각화면적분포진행통계，준학식별절연자륜곽；최후，설계료일충특정검측산법，검측병표기자폭절연자위치。실험증명해방법능종자연배경중준학검측병정위절연자자폭결함，구유교호적공정응용개치。
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.