Scale Invariant Target Detection using the Laplacian Scale-Space with Adaptive Threshold

라플라스 스케일스페이스 이론과 적응 문턱치를 이용한 크기 불변 표적 탐지 기법

  • Published : 2008.02.28

Abstract

This paper presents a new small target detection method using scale invariant feature. Detecting small targets whose sizes are varying is very important to automatic target detection. Scale invariant feature using the Laplacian scale-space can detect different sizes of targets robustly compared to the conventional spatial filtering methods with fixed kernel size. Additionally, scale-reflected adaptive thresholding can reduce many false alarms. Experimental results with real IR images show the robustness of the proposed target detection in real world.

Keywords

References

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