A Simple Method of Tempered Glass Insulator Recognition from Airborne Image

In this paper, a method of tempered glass insulator recognition based on intensity in HSI modal from airborne image by helicopter on power grid is proposed. Morphology, extraction of connected components and threshold value segmentation by mean are applied to this method. The intensity of image contains the important information of insulator image, which is the base of insulator image segmentation. According to the feature of intensity in image, it is helpful that intensity image become binary image. Because there are some noises in the binary image, it is necessary that the binary image should be preprocessed to reduce noise. The erode process in morphology is used here. After above preprocessing, extraction of connected components can mark every 1 area in binary image, which includes the part of insulator and noise. Then setting threshold value range with mean in the number of every connected component is the threshold in classifying these components to insulator or not. Experimental results indicate that the method can classify insulator in image with little mistake.