A hybrid concealed object detection method for PMMW images

Ye Tian; Yi Chang; Houzhang Fang; Hai Liu; Luxin Yan

doi:10.1117/12.2031345

26 October 2013 A hybrid concealed object detection method for PMMW images

Ye Tian, Yi Chang, Houzhang Fang, Hai Liu, Luxin Yan

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180T (2013) https://doi.org/10.1117/12.2031345
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Passive millimeter waves (PMMW) image can create interpretable imagery on the objects concealed under clothing, which gives the great advantage to the security system. In conventional detection methods, the object detection methods can be roughly divided into two categories: the edge-based method and the region-based method. In this paper, we propose to combine the two methods for better detecting the concealed object for PMMW imaging. The main idea of the proposed method is to combine the edge-based contrast and region-based center-surround histogram. The proposed method can describe a concealed object locally and regionally, which help us capture more useful information about the edge and region. Experimental results on real images demonstrate that the proposed method can effectively detect the concealed object in the PMMW images.

Citation Download Citation

Ye Tian, Yi Chang, Houzhang Fang, Hai Liu, and Luxin Yan "A hybrid concealed object detection method for PMMW images", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180T (26 October 2013); https://doi.org/10.1117/12.2031345

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