A novel edge detection algorithm based on the Dissimilarity texture for aerial power line images

摘要

In this paper, we address the problem of extracting the edge of power lines from aerial images, which is a critical step for the identification of the components equipped on power lines and for the diagnosis of the broken-strands on power lines. As for the problem, a novel idea is proposed based on the fact that the textural differentiation of Dissimilarity distributions between power line and background in a square window can be represented by some points of local peaks on the statistical curves such that the edge of power lines can be detected. Based on the novel idea, an algorithm named Square Window with Four symmeTrical axiSes (SWIFTS) is developed. Experiments and analyses demonstrate that the SWIFTS algorithm has better performance than other classical method in terms of extracting the edge of power lines, preserving the bent information of the edge at the point of broken-strand.