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Proceedings Paper

An edge detection method based on Gamma distribution function for power line aerial images
Author(s): Qinggang Wu; Xinye Zhang
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Paper Abstract

The criteria of detection and localization are always a pair of contradiction in edge detection, e.g. Canny. Due to the optimal geometry property of the Gamma probability density function (PDF), it is introduced in this paper as a kernel function after its definition is complemented at the origin. Besides, an edge preserving parameter ε is added to make the pair of contradiction to be adjustable independently. With Gaussian kernel function substituted by the modified Gamma PDF, an improved edge detection algorithm is proposed. For a given edge detection criterion, the localization criterion of Gamma detector is better than that of Canny. The advantage has been analyzed theoretically and validated through the experiments on airborne remote sensing power line images.

Paper Details

Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800304 (8 December 2011); doi: 10.1117/12.901587
Show Author Affiliations
Qinggang Wu, Dalian Maritime Univ. (China)
Xinye Zhang, Dalian Maritime Univ. (China)

Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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