Concealed objects detection based on FWT in active millimeter-wave images

被引：9

作者：

Du Kun ^{[1
]}

Zhang Lu ^{[2
,3
]}

Chen Wei ^{[1
]}

Wan Guolong ^{[1
]}

Fu Ruoran ^{[1
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100083, Peoples R China

[2] Sci & Technol Metrol & Calibrat Lab, Beijing 100854, Peoples R China

[3] Beijing Inst Radio Metrol & Measurement, Beijing 100854, Peoples R China

来源：

SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING | 2017年 / 10322卷

关键词：

active MMW imaging; human images; FWT; concealed objects detection;

D O I：

10.1117/12.2265504

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Active millimeter-wave (MMW) near-filed human imaging is a means for concealed objects detection. A method of concealed objects detection based on fast wavelet transforms (FWT) in the usage of active MMW images is presented as a result of image characteristics, which includes high resolution, characteristics varying in different parts of the human, imaging influenced among human, concealed objects and other objects, and different textures of concealed objects. Images segmentation utilizing results of edge detection based on FWT is conducted and preliminary segmentation results can be obtained. Some kinds of concealed objects according to comparing gray value of concealed objects to human average gray value can be detected in this paper. The experiments of concealed objects on images of actual acquisition are conducted with a result of accurate rate 80.92% and false alarm rate 11.78%, illustrating the effectiveness of the method proposed in this paper.

引用

页数：6

共 12 条

[11] Concealed objects detection in active millimeter-wave images [J].

Du K. ;

Wang W. ;

Nian F. ;

Chen W. ;

Hu F.-J. .

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2016, 38 (06) :1462-1469

[12] Detection and tracking of multiple metallic objects in millimetre-wave images [J].

Haworth, C. D. ;

De Saint-Pern, Y. ;

Clark, D. ;

Trucco, E. ;

Petillot, Y. R. .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2007, 71 (02) :183-196

← 1 2 →