
Proceedings Paper
A novel edge detection algorithm based on the dissimilarity texture for aerial power line imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
Date Published: 23 November 2011
PDF: 8 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060D (23 November 2011); doi: 10.1117/12.901761
Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 8 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060D (23 November 2011); doi: 10.1117/12.901761
Show Author Affiliations
Qinggang Wu, Dalian Maritime Univ. (China)
Jubai An, Dalian Maritime Univ. (China)
Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)
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