Small target detection using quantum genetic morphological filter

Lizhen Deng; Hu Zhu; Yantao Wei; Guanmin Lu; Yu Wei

doi:10.1117/12.2203715

14 December 2015 Small target detection using quantum genetic morphological filter

Lizhen Deng, Hu Zhu, Yantao Wei, Guanmin Lu, Yu Wei

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120A (2015) https://doi.org/10.1117/12.2203715
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Small target detection plays a crucial role in infrared warning and tracking systems. A background suppression method using morphological filter based on quantum genetic algorithm (QGMF) is presented to detect small targets in infrared image. Structure element of morphological filter is encoded and the best structure element is selected using quantum genetic algorithm. The optimized structure element is used for background suppression to detect small target. Experimental results demonstrate that QGMF has good performance in clutter suppression, and obtains higher signal-to-clutter ratio gain (SCRG) and background suppression factor (BSF) than the one using the fixed structure element with the same size.

Citation Download Citation

Lizhen Deng, Hu Zhu, Yantao Wei, Guanmin Lu, and Yu Wei "Small target detection using quantum genetic morphological filter", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120A (14 December 2015); https://doi.org/10.1117/12.2203715

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