An Anhydrous Bridge Recognition Algorithm in Aerial Image

Autor: Yin Wen Dong, Jing Xin An, Luan Wan, Zhao Ming Shi
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :3079-3084
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.734-737.3079
Popis: Aiming at anhydrous bridge automatically identification in aerial images, an anhydrous bridge recognition algorithm based on the geometric characteristics is proposed. Firstly, the original image is do threshold segmentation to get binary image. Secondly, binary image is do morphological processed to get bridge area enhanced image and bridge area corrosion image, and these two bridge area are subtracted to extract suspected bridge area based on bridge rectangle feature. Finally, bridge regional area is positioned according to the straight-line characteristics of the bridge. Experimental results show the proposed algorithm can accurately identify the anhydrous bridge effectively. Key words: aerial image; anhydrous bridges identification; edge detection ; straight line extraction ; geometric features
Databáze: OpenAIRE