Swarm Optimization Clustering for Image Segmentation of Insulators

To keep the steady operation of the power system, it is an effective way to find the fault of insulators from the their images, in which image segmentation of the insulators is an important prerequisite. However, due to the noise existing in the images of insulators, traditional methods do not play well in image segmentation of insulators. This paper proposes a swarm optimization clustering algorithm for image segmentation of insulators. This method uses ant colony clustering algorithm for image clustering and segmentation of insulators. To improve the effectiveness of the algorithm, the particle swarm algorithm is used to optimize the parameters of the ant colony clustering algorithm. Compared to traditional algorithms, this method can do image segmentation of insulators more effectively.