Automatic millimeter wave image target identification method and device

Abstract

The invention discloses an automatic millimeter wave image target identification method and a device. The method comprises steps that (1), sub image blocks of a to-be-identified target millimeter wave image are acquired; (2), based on a trained convolutional neural network, target containing probability values of the sub image blocks are acquired; (3), based on the probability values, a probability cumulative graph of the to-be-identified target millimeter wave image is acquired; and (4), based on the probability cumulative graph, target marking is carried out so as to accomplish target identification of the to-be-identified target millimeter wave image. The invention further discloses an automatic millimeter wave image target identification device. The device and the method are advantaged in that the device and the method are suitable for automatic millimeter wave image target identification, the excellent target identification effect is realized, a problem that employing traditional manual design characteristics for the millimeter wave image can not realize the excellent detection effect in the prior art is solved, precise target positioning is realized, false alarms are reduced, safety check efficiency is improved, and manpower cost is reduced.

Description

technical field [0001] The invention relates to the field of imaging security inspection, in particular to a millimeter wave image target recognition method and device. Background technique [0002] In the field of security checks, commonly used security checks include metal detectors and X-ray security checks. Metal detectors can only be used to detect metal objects, and cannot detect non-metallic dangerous objects such as ceramic knives; X-rays can be used to detect metal objects, but they are ionizing radiation like nuclear radiation, which is easy to cause harm to the human body and can only be used as luggage security check. Due to the above defects, traditional metal detectors and X-ray security checks are not ideal human security checks. Millimeter waves can penetrate clothing and detect prohibited items such as guns, ceramic knives, and unknown liquids hidden under clothing, and millimeter wave radiation is non-ionizing radiation, which has low power in actual use ...

AI Technical Summary

Problems solved by technology

Due to the instability of the millimeter-wave imaging system, the millimeter-wave human body images often have high noise, and the body shapes of the scanned people are different, and the textures of different prohibited items vary greatly. It is difficult to obtain good detection results by using traditional manual design features.

Images