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Xin, Le, Li, Yuanji, Shang, Shize, Li, Guangrui, Yang, Yuhao.  2019.  A Template Matching Background Filtering Method for Millimeter Wave Human Security Image. 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). :1–6.
In order to solve the interference of burrs, aliasing and other noises in the background area of millimeter wave human security inspection on the objects identification, an adaptive template matching filtering method is proposed. First, the preprocessed original image is segmented by level set algorithm, then the result is used as a template to filter the background of the original image. Finally, the image after background filtered is used as the input of bilateral filtering. The contrast experiments based on the actual millimeter wave image verifies the improvement of this algorithm compared with the traditional filtering method, and proves that this algorithm can filter the background noise of the human security image, retain the image details of the human body area, and is conducive to the object recognition and location in the millimeter wave security image.