CAJ | 학술논문

为了实现智能提取直升机巡检视频中的绝缘子图像，基于ASIFT原理的图像处理技术和数据库技术，提出了一种新的绝缘子图像识别与定位方法。该方法首先建立标准的绝缘子图库，通过改进UL－PCNN红外图像分割算法提取绝缘子特征值，然后将输电线路视频与标准图库中的绝缘子图片利用ASIFT算法进行匹配，进而识别和定位视频中的绝缘子。实验结果表明，ASIFT方法具备良好的抗绝缘子图像仿射变形性能，可以在少量人工辅助的条件下对图像进行处理，提高了架空输电线路绝缘子故障检测的自动化处理程度。
위료실현지능제취직승궤순검시빈중적절연자도상，기우ASIFT원리적도상처리기술화수거고기술，제출료일충신적절연자도상식별여정위방법。해방법수선건립표준적절연자도고，통과개진UL－PCNN홍외도상분할산법제취절연자특정치，연후장수전선로시빈여표준도고중적절연자도편이용ASIFT산법진행필배，진이식별화정위시빈중적절연자。실험결과표명，ASIFT방법구비량호적항절연자도상방사변형성능，가이재소량인공보조적조건하대도상진행처리，제고료가공수전선로절연자고장검측적자동화처리정도。
A new insulator image identification and location method based on the principle of ASIFT was proposed in this paper to achieve intelligent extraction of insulator images from helicopter patrol videos .Firstly, a standard insula-tor gallery is established and the characteristics values are extracted by improved UL-PCNN infrared image segmenta-tion algorithm ,then the transmission line video and the images in the established gallery are matched by ASIFT ,final-ly, identification and location of insulators can be done .Experimental results show that ASIFT method has good anti -affine deformation properties ,it can process the images with less human involvement and improve the automation of fault detection of the insulators on overhead transmission line .