26 October 2013 A hybrid concealed object detection method for PMMW images
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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
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ye Tian, Ye Tian, Yi Chang, Yi Chang, Houzhang Fang, Houzhang Fang, Hai Liu, Hai Liu, Luxin Yan, 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); doi: 10.1117/12.2031345; https://doi.org/10.1117/12.2031345

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