Image Registration and Fusion of MMW and Visual Images for Concealed Object Detection

被引:0
作者
Lee, Hyoung [1 ]
Yeom, Seokwon [1 ]
Son, Jung-Young [1 ]
Guschin, Vladmir. P. [1 ]
机构
[1] Daegu Univ, Dept Comp & Commun Engn, Gyongsan 712714, Gyeongbuk, South Korea
来源
PASSIVE MILLIMETER-WAVE IMAGING TECHNOLOGY XIII | 2010年 / 7670卷
关键词
image registration; image fusion; passive millimeter wave system; discrete wavelet transform; fusion rule; concealed object detection;
D O I
10.1117/12.850040
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper addresses the registration and the fusion techniques between passive millimeter wave (MMW) and visual images for concealed object detection. The passive MMW imaging system detects concealed objects such as metal and man-made objects as well as small liquid and gel containers. The registration and fusion processes are required to combine information from both of visual and MMW images. The registration process is composed of feature extraction and matching stages. The body areas in two images are adjusted to each other in scale, rotation, and location. The image fusion method is based on discrete wavelet transform and a fusion rule, which emphasizes the person's identity and the hidden object together. The experimental and simulation results show the proposed technique can detect a concealed object and fuse two different types of images in a fully automated way.
引用
收藏
页数:7
相关论文
共 50 条
[21]   Medical Image Registration Using Landmark Registration Technique and Fusion [J].
Revathy, R. ;
Kumar, S. Venkata Achyuth ;
Reddy, V. Vijay Bhaskar ;
Bhavana, V .
COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 :402-412
[22]   IMAGE REGISTRATION FOR SEQUENCE OF VISUAL IMAGES CAPTURED BY UAV [J].
McCartney, Matthew I. ;
Zein-Sabatto, Saleh ;
Malkani, Mohan .
CIMSVP 2009: IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR MULTIMEDIA SIGNAL AND VISION PROCESSING, 2009, :91-97
[23]   Research on Image Fusion for Visual and PMMW Images Using NSCT and Region Detection [J].
Tang, Shira ;
Xiong, Jintao ;
Yang, Jianyu ;
Peng, Xinliang .
PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 :796-804
[24]   Self-Paced Feature Attention Fusion Network for Concealed Object Detection in Millimeter-Wave Image [J].
Wang, Xinlin ;
Gou, Shuiping ;
Li, Jichao ;
Zhao, Yinghai ;
Liu, Zhen ;
Jiao, Changzhe ;
Mao, Shasha .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32 (01) :224-239
[25]   Swin-YOLO for Concealed Object Detection in Millimeter Wave Images [J].
Huang, Pingping ;
Wei, Ran ;
Su, Yun ;
Tan, Weixian .
APPLIED SCIENCES-BASEL, 2023, 13 (17)
[26]   A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection [J].
Ayhan, Bulent ;
Dao, Minh ;
Kwan, Chiman ;
Chen, Hua-Mei ;
Bell, James F. ;
Kidd, Richard .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (10) :4553-4564
[27]   Dynamic Gradient Sparsity Based Image Registration and Fusion Technique for Satellite Images [J].
ShambuGowda, Anil Naragonahalli ;
Nanjundaiah, Chandrappa Dasanapura .
DISTRIBUTED COMPUTING AND OPTIMIZATION TECHNIQUES, ICDCOT 2021, 2022, 903 :399-409
[28]   Registration of scenes for the detection of concealed weapons [J].
Slamani, MA ;
Varshney, PK ;
Alford, MG ;
Ferris, D .
SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS III, 1999, 3719 :161-172
[29]   Multimodal image registration with applications to image fusion [J].
Heather, JP ;
Smith, MI .
2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, 2005, :372-379
[30]   Concealed Object Detection for Millimeter-Wave Images With Normalized Accumulation Map [J].
Wang, Chen ;
Shi, Jun ;
Zhou, Zenan ;
Li, Liang ;
Zhou, Yuanyuan ;
Yang, Xiaqing .
IEEE SENSORS JOURNAL, 2021, 21 (05) :6468-6475