Research On Hydrophobicity Of Insulators Based On Image Segmentation

The main purpose of this study is to improve the accuracy of judging the level ofhydrophobicity of composite insulators, by using image segmentation techniques.Through analyzing the three issues of hydrophobic image of composite insulators inthe image segmentation process, the paper puts forward three solutions. It caneffectively improve the accuracy of image segmentation and grade determination forhydrophobic image of composite insulators.Through understanding the basic situation of hydrophobicity of compositeinsulators, and through the analysis of the traditional genetic algorithm, This papersummarized three problems of composite insulator hydrophobic image in imagesegmentation. Namely: an algorithm is not suitable for all level of hydrophobic;Adjacent water may form a large droplets of water in the process of recognition; Waterdroplets in the hydrophobic image will appear gap caused by light. Through theoreticalanalysis, The main causes of the problem is that the hydrophobic image of compositeinsulator will be affected by light and the transparency of the water. So that the graydistribution of image will be uneven, and it will lead that the image segmentationalgorithm can not find a unified segmentation threshold to apply to all levels of allhydrophobic image. Considering the image histogram fully reflects the gray value ofeach pixel in the image, We put the histogram peak as a new feature and put forwardtwo kinds of image segmentation algorithm based on histogram. One is: we use animage segmentation algorithm based on histogram peak and genetic algorithm, to solvethe problem that the traditional genetic algorithm is not suitable for all level ofhydrophobic image. Another is: we propose a region growing algorithm which canautomatically select a seed point according to the histogram distribution of gray image,to solve the problem that adjacent water may form a large droplets of water.To solve that, water droplets images have gap because of light, this paper presentsa third algorithm based on prewitt edge detection and image fusion. By comparing allkinds of edge detection operators, we found that the prewitt edge detection operator issuitable for extracting the edge information of the image spot drops. The improvedprewitt edge detection algorithm can get a clear outline of the edge of the water dropletsspot, when dealing with a gap problem of hydrophobic image. At the same time, thealgorithm also uses image fusion technology, to combine the spot image segmentationresult and the original image segmentation result. This method can get a complete dropsshape of hydrophobic image, and it solved the gap problem of hydrophobic image.This study presents three image segmentation methods based on the actual problem,to meet the requirements of hydrophobic image segmentation in different situations. Theexperimental results show that the results of image segmentation meet the researchrequirements in this study. We can find that the water edge is continuous and the waterarea is complete in image segmentation results. The accuracy rate of determining thelevel of hydrophobic can reach more than95%, when combined with the threealgorithms.