A novel edge detection algorithm based on the Dissimilarity texture for aerial power line images
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.
Edge extraction texture feature inspection of power lines identification of power lines identification of broken-strand.
Qinggang Wu Jubai An
Information Science & Technology College, Dalian Maritime University, 116026, P.R.C
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）