关键词: 毫米波辐射计, 安全检查, 小波去噪, 形态学滤波, 边缘检测

Abstract: Because of its strong penetration and work ability of all-time and all-weather, MMW radiation has vast application prospects in fields of counter-terrorism security inspection. Compared with the usual soft and hard threshold wavelet de-noising algorithms, a complex morphology self-adaptive filtering algorithm is proposed according to the MMW radiation image gotten from security inspection for canceled objects. Based on the algorithms above, the MMW radiation image is pre-processed. The edge of the image is detected and the feature of the image is extracted. The results show that the complex morphology self-adaptive filtering algorithm can remove more image noise than soft threshold wavelet de-noising algorithm and the features of edges extracted are consistent to the real geometric characteristics of canceled objects.

Key words: MMW radiometer, security inspection, wavelet de-noising, morphology filtering, edge detection