The Airport Runway Foreign Objects Detection Method Research Based on the Algorithm of SIFT

Yang Yu; Min Zhang; Guo Hua Zhang; Jie Niu

doi:10.4028/www.scientific.net/AMR.424-425.784

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425The Airport Runway Foreign Objects Detection...

The Airport Runway Foreign Objects Detection Method Research Based on the Algorithm of SIFT

Abstract:

Based on the algorithm of Scale invariant feature transform SIFT, informed a method to detection the airport runway foreign objects based on the algorithm of improved SIFT, first roughly extracts object through the image segmentation algorithm, then match the object on it’s SIFT features, ensure it’s features stability, enhance the matching accuracy. Experimental results show that this method can not only handle the problems of tar-get losing evidently, which are induced by objects rotation and translation, but also has nice robustness to the conjunction of multi-targets in the process of object tracking

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

784-788

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.784

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Online since:

January 2012

Authors:

Yang Yu, Min Zhang, Guo Hua Zhang, Jie Niu

Keywords:

Detection, Match, SIFT, Stability

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