Image processing techniques for metallic object detection with millimetre-wave images
Pattern Recognition Letters
MMW image reconstruction combined NNSC shrinkage technique and PDEs algorithm
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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Millimeter wave imaging technology has received a lot of attention in recent years. It has been widely applied in aircraft landing guidance system, dangerous substance inspection, plasma tests and human carry on safety inspection. It can be applied in many areas in the future. This paper studies an active millimeter wave focal plane imaging system. Among the theory and key techniques of millimeter wave imaging, the optical imaging system is designed and automatic scanning, automatic data collection and image processing are implemented. In the experiment system, the automatic focal plane scanning of the receiver antenna array, data collection around the imaging spots of the 94GHz millimeter wave, automatic imaging and image optimization are carried out at the computer. The experiment verifies the practicability of the design of the diffractive lens and the detection of hidden objects.