Millimeter-wave image foreign matter detection method based on block mixture Gaussian low-rank matrix decomposition

Abstract

The invention discloses a method for detecting a hidden object in a millimeter-wave human body image based on block mixture Gaussian low-rank matrix decomposition.The method mainly solves the problemsof low imaging quality caused by weak scatter echo of the hidden object and low detection accuracy of a gray scale value of the hidden object and a human body similarity in the prior art. An implementing scheme of the method comprises the following steps of 1, removingabnormal points in an imaging region background in an original millimeter-wave human body image, and dividing the human body imageinto six parts according to proportions of human body parts; 2, decomposing all regions of thehuman body based on a block mixture Gaussian low-rank matrix decomposition algorithm to obtain a low-rankpart and a sparse part; and 3, binaryzing the sparse part by using a typology method, and removing small noise points to obtain a final detection result graph. The method increases the detection rateof various complicated small targets in the millimeter-wave human body image without a large number of training samples, so that the detected hidden object is more complete; and the method can be used for detecting hidden objects carried by people in public places such as an airport and a bus station.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a method for detecting concealed objects carried by a human body, which can be used to detect concealed objects carried by a human body in public places such as airports and stations. Background technique [0002] In recent years, millimeter wave technology has been used at home and abroad to detect concealed objects carried by the human body in public places such as airports and stations, such as water bottles, lighters, pistols, flashlights, detonators, knives, explosives, drugs, etc. Since traditional metal detectors are difficult to detect non-metallic and small objects, x-rays are not only harmful to the human body, but also cannot detect foreign objects carried by people with loose clothes. Millimeter-wave radar is capable of short-distance imaging, not only can penetrate clothing, but also has no radiation damage to the human body. It is currently a popular ...

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Problems solved by technology

[0007] The purpose of the present invention is to propose a method for detecting foreign matter in millimeter-wave images based on block mixed Gaussian low-rank matrix decomposition, to solve the problem of low imaging quality caused by weak scattering echoes of hidden objects in the prior art, and the problem of the gray value of hidden objects and the human body. When similar, its detection accuracy is low

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