Detection of Bird Nests on Equipments of Electric Transmission Lines Based on Aerial Images

Qi Xie; Jian Ping Hu; Zhi Wen Chang

doi:10.4028/www.scientific.net/AMM.734.604

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Detection of Bird Nests on Equipments of Electric...

Detection of Bird Nests on Equipments of Electric Transmission Lines Based on Aerial Images

Abstract:

This paper presents a method for detecting bird nests on the equipments of electric transmission lines by aerial images. Firstly, an input color aerial image is transformed from the RGB space to the HSV space, and then bird nests can be segmented roughly from the aerial images by the K-means clustering algorithm. After that, some noises are removed by morphological filtering operations. Finally, the location of the bird nests in aerial images can be obtained by judging the shapes of the connected regions. Experiments show that this method is effective and can be applied to the helicopter patrol inspection system.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

604-607

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.604

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Online since:

February 2015

Authors:

Qi Xie, Jian Ping Hu*, Zhi Wen Chang

Keywords:

Aerial Image, Defect Detection, Image Segmentation, K-Means Clustering

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* - Corresponding Author

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