绝缘子是输电线路上的重要设备，若发生故障会给电力设备带来巨大损失，从拍摄的输电线路红外图像中定位和提取绝缘子，基本上能反映多种绝缘子故障，在绝缘子的识别和故障诊断中更具实用性。本文提出了一种基于红外图像的绝缘子提取方法，依次使用 Speeded Up Robust Features（SURF）算法提取测试红外图像的关键特征点、基于改进 Fuzzy C-means（FCM）算法聚类划分特征点、根据绝缘子的形状特征值识别和定位绝缘子、基于改进的图像开运算精确提取绝缘子。该方法充分发挥了红外图像的优点，能够准确提取绝缘子，为基于红外图像的绝缘子故障诊断奠定了基础。

Insulators are important equipment on the transmission line. if fault occurs, it will bring huge loss to power equipments. Locating and extracting insulator from infrared image of transmission line can basically reflect a variety of insulator faults, which is more practical in insulator identification and fault diagnosis.This paper proposes an insulator recognition method based on infrared images, which sequentially use the Speeded Up Robust Features (SURF) algorithm to extract the key feature points of the test infrared images, cluster the feature points based on the improved Fuzzy C-means (FCM) algorithm, identify and locate the insulators according to the shape feature values of the insulators and precise extraction of insulators based on improved image opening operation. This method makes full use of the advantages of infrared images and can accurately extract insulators, which lays a foundation for insulator fault diagnosis based on infrared images.