Passive Terahertz Image Segmentation Method
An image segmentation and terahertz technology, applied in the field of image processing, to achieve the effect of fast and accurate method, smooth edge and clear outline
Active Publication Date: 2018-06-01
CHINA ACAD OF AEROSPACE AERODYNAMICS
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[0004] Another object of the present invention is to provide a passive terahertz image segmentation method. In the present invention, the image is divided into multiple regions for processing separately, and combined with steps such as denoising and preprocessing, it solves the problem of the detection of objects in passive terahertz images. Rapid Segmentation and Recognition of Subjected Body Areas
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[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.
[0052] It should be understood that terms such as "having", "comprising" and "including" as used herein do not entail the presence or addition of one or more other elements or combinations thereof.
[0053] The invention provides a passive terahertz image segmentation method, comprising the following steps:
[0054] Step 1. Obtain a passive terahertz two-dimensional image of the subject;
[0055]Step 2, preprocessing: performing denoising preprocessing on the passive terahertz two-dimensional image obtained in step 1;
[0056] Step 3. Region segmentation: Divide the passive terahertz two-dimensional image after denoising and preprocessing in step two into n regions, and set the overall gray value of the passive terahertz two-dimensional image to be aver, where each region T...
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The present invention discloses a passive terahertz image segmentation method, comprising the following steps: the step 1, a passive terahertz two-dimensional image of a detected human being is obtained. The step 2, the noise reduction pretreatment of the two-dimensional image is performed. The step 3, the image after noise reduction pretreatment is equally divided into n areas, the whole gray average of the passive terahertz two-dimensional image is set to be aver, the gray average in each area being averk; the gray value of the point with coordinates (x, y) in a certain area k is fk(x, y), and the area threshold value of the area k is Tk, wherein 1<=k<=n; and the effectiveness threshold value of the area is Ty, then the image is obtained by operation through the following formula (3), formula (4) and formula (5). And the step 4, it is determined whether there is provided a metal outline in the obtained image or not, if there is provided an outline of a metal object in the obtained image, it is determined that the detected human being carries with a metal object, if there is not provided an outline of a metal object, it is determined that the detected human being does not carry with a metal object.
Description
technical field [0001] The invention belongs to the field of image processing and is used for target segmentation of passive terahertz images, in particular to a passive terahertz image segmentation method. Background technique [0002] Terahertz radiation generally refers to far-infrared electromagnetic radiation with a wavelength in the range of 3mm-3μm. In recent years, the application of passive terahertz imaging technology in the field of security inspection has shown impressive development prospects. Compared with traditional security inspection methods, passive hertz imaging technology has the following three advantages: First, in the terahertz band, many molecules There is a special absorption frequency above 1THz, so the use of terahertz spectroscopy can identify the type and composition of substances, and can be used for the detection of explosives, drugs, biochemicals and other dangerous goods in the security inspection process; secondly, terahertz radiation is se...
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IPC IPC(8): G06T7/11G06T7/136G06T5/00
CPCG06T2207/10048
Inventor 吕松天嵇志刚沙群魏鑫王超
Owner CHINA ACAD OF AEROSPACE AERODYNAMICS