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

A low-rank matrix, mixed Gaussian technology, applied in the field of detection of hidden objects carried by the human body, can solve the problems of low imaging quality, weak scattering echo, and low detection accuracy, so as to improve the detection effect, improve the integrity, and improve the detection rate. performance effect

Active Publication Date: 2019-11-08
XIDIAN UNIV +1
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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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  • Millimeter-wave image foreign matter detection method based on block mixture Gaussian low-rank matrix decomposition
  • Millimeter-wave image foreign matter detection method based on block mixture Gaussian low-rank matrix decomposition
  • Millimeter-wave image foreign matter detection method based on block mixture Gaussian low-rank matrix decomposition

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[0028] The implementation and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0029] refer to figure 1 , the implementation steps of the present invention are as follows:

[0030] Step 1. De-dry the human body image and divide it into six regions according to the proportion of body parts.

[0031] (1a) Perform binary segmentation on the original mmWave human body image:

[0032] Commonly used threshold-based segmentation methods include the peak-to-valley method of the gray histogram, the minimum error method, the maximum inter-class variance method, and the fixed threshold method. In this example, but not limited to the fixed threshold method, the original image is first divided by 255 , normalized to 0-1, and then select a threshold value of 0.15, and compare the normalized image with the threshold value: set the pixel points greater than the threshold value to 1, set the pixel points smaller than ...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V8/00
CPCG01V8/005
Inventor 王新林刘振赵英海毛莎莎焦昶哲缑水平
Owner XIDIAN UNIV
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