An edge detection method based on Gamma distribution function for power line aerial images

Qinggang Wu; Xinye Zhang

doi:10.1117/12.901587

8 December 2011 An edge detection method based on Gamma distribution function for power line aerial images

Qinggang Wu, Xinye Zhang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800304 (2011) https://doi.org/10.1117/12.901587
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Qinggang Wu and Xinye Zhang "An edge detection method based on Gamma distribution function for power line aerial images", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800304 (8 December 2011); https://doi.org/10.1117/12.901587

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