CN113848193A - Passive terahertz human body security inspection image extraction method - Google Patents
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Abstract
The invention provides a passive terahertz human body security inspection image extraction method, which only extracts a terahertz human body security inspection image formed in an optimal imaging area for hazardous article detection, thereby not only avoiding the problem that the optimal imaging area cannot be determined by hardware due to limited field installation, but also improving the real-time property of terahertz human body security inspection image processing and the accuracy of hazardous article detection. The distance between the vertex of the head and the boundary of the image in the terahertz security inspection image where three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the terahertz security inspection image formed by each detected person in the optimal imaging area is determined by utilizing the proportional relation of imaging fields.
Description
Technical Field
The invention relates to the technical field of terahertz security inspection, in particular to a passive terahertz human body security inspection image extraction method.
Background
Terahertz imaging technology is widely applied, and terahertz images are obtained by irradiating an object with terahertz rays and then acquiring reflected information. In the aspect of security inspection, due to the penetrability of terahertz and strong reflectivity of metal materials, contraband such as firearms and knives can be seen from terahertz images.
In the security inspection process, only security inspectors stare at terahertz security inspection images at any time, eye fatigue is easy to generate, and contraband is easy to ignore in scenes with large flow of people. Therefore, in practical application, dangerous goods need to be identified through a target detection algorithm, but the identification process needs to perform processing such as segmentation and feature extraction on all terahertz images of detected personnel walking through a detection area, so that the process is complicated, the consumed time is long, and real-time detection is difficult to achieve. To address this problem, there are two main approaches. One method is to determine an optimal imaging area by using hardware, for example, 2 pairs of infrared photoelectric correlation switches are installed at the edge of the optimal imaging area, when a person to be detected enters and leaves the optimal imaging area, the infrared photoelectric correlation switches are triggered, and terahertz human body security inspection images for target detection are extracted by 2 pairs of photoelectric switch signals and are in the optimal imaging area. The other is image processing, and whether the image is an effective terahertz human body security inspection image is judged by using whether a complete human body contour exists in the image.
The two methods have defects, and the method for determining the optimal imaging area by using hardware is limited in practical application due to inconvenient field installation; the image processing method needs to process terahertz security inspection images of all complete human body contours, so that not only is the cost long, but also the extracted terahertz security inspection images are possibly in a non-optimal imaging area. The security inspection image in the non-optimal imaging area is unclear, and false alarm is easy to generate when dangerous goods detection and identification are carried out at the later stage.
Disclosure of Invention
In order to solve the problems, the invention provides a passive terahertz human body security inspection image extraction method which only extracts a terahertz human body security inspection image formed in an optimal imaging area for hazardous article detection, so that the problem that the optimal imaging area cannot be determined by hardware due to limited field installation is avoided, and the real-time property of terahertz human body security inspection image processing and the accuracy of hazardous article detection can be improved.
A passive terahertz human body security check image extraction method is characterized by comprising the following steps: the distance between the vertex of the head and the boundary of the image in the terahertz security inspection image where three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the terahertz security inspection image formed by each detected person in the optimal imaging area is determined by utilizing the proportional relation of imaging fields.
It is further characterized in that:
the method comprises the following specific operation steps that a first terahertz security check instrument and a second terahertz security check instrument are respectively arranged at two ends in the length direction in a human body security check channel, the first terahertz security check instrument and the second terahertz security check instrument are both passive terahertz security check instruments, and in a terahertz image formed by the first terahertz security check instrument for performing security check on the front side of a detected person, as the detected person is closer to the security check instruments, the number of pixels occupied by the human body outline in the terahertz image is more and more, and the distance L from the head top to the image boundary is larger and larger; in a terahertz image formed by a second terahertz security check instrument for performing security check on the back of the detected person, the distance K from the top of the head to the image boundary is smaller and smaller; which comprises the following steps:
a. calibration before delivery: testing a person with the height of H through a security inspection area, and obtaining the distances from the top of the head to the boundary of an image respectively as La, Lb and Lc when the person just enters a security inspection area A, just enters an optimal imaging area B and just leaves the optimal imaging area C from the image formed by a first terahertz security inspection instrument for front surface detection; obtaining the distances Ka, Kb and Kc from the vertex to the image boundary when the image just enters the security inspection area A, just enters the optimal imaging area B and just leaves the optimal imaging area C from the image formed by the second terahertz security inspection instrument for back detection;
b. image acquisition: the distance between the vertex and the image boundary is L in the security inspection image detected by the detected person just entering the security inspection area A and on the front side0(ii) a Distance K from vertex to image boundary in security inspection image for back detection0If the image is in the optimal imaging area, the distance between the vertex and the image boundary needs to satisfy the following requirementsSolving the following steps:
the security inspection image of the first terahertz security inspection instrument:
and (3) security inspection images of a second terahertz security inspection instrument:
c. image extraction: in the terahertz security check imaging process, calculating the distance between the vertex of the head and the image boundary in each frame of terahertz security check image on the front side and the back side, comparing according to the calculation range, extracting the terahertz security check image meeting the requirements, and then carrying out related image processing of dangerous goods detection and identification;
all distance values are in pixels.
After the technical scheme is adopted, the distance between the vertex of the head and the image boundary in the terahertz security inspection image where the three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the terahertz security inspection image formed by each detected person in the optimal imaging area is determined by utilizing the proportional relation of the imaging view field; the method only extracts the terahertz human body security inspection image formed in the optimal imaging area for hazardous article detection, thereby not only avoiding the problem that the optimal imaging area cannot be determined by hardware due to limited field installation, but also improving the real-time property of terahertz human body security inspection image processing and the accuracy of hazardous article detection.
Drawings
FIG. 1 is a schematic view of a security check apparatus arrangement suitable for use with the present invention;
FIG. 2 is a schematic diagram of image change of a first terahertz security inspection instrument for imaging the front side of a human body;
FIG. 3 is a schematic diagram of image change of a second terahertz security inspection instrument for imaging the back of a human body;
Detailed Description
A passive terahertz human body security check image extraction method is characterized by comprising the following steps: the distance between the vertex of the head and the boundary of the image in the terahertz security inspection image where three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the terahertz security inspection image formed by each detected person in the optimal imaging area is determined by utilizing the proportional relation of imaging fields.
The method comprises the following steps that a first terahertz security check instrument and a second terahertz security check instrument are respectively arranged at two ends in the length direction in a human body security check channel, the first terahertz security check instrument and the second terahertz security check instrument are both passive terahertz security check instruments, and in a terahertz image formed by the first terahertz security check instrument for carrying out security check on the front side of a detected person, as the detected person is closer to the security check instruments, the human body outline occupies more and more pixels in the terahertz image, and the distance L from the head top to the image boundary is larger and larger; in a terahertz image formed by a second terahertz security check instrument for performing security check on the back of the detected person, the distance K from the top of the head to the image boundary is smaller and smaller; which comprises the following steps:
a. calibration before delivery: testing a person with the height of H through a security inspection area, and obtaining the distances from the top of the head to the boundary of an image respectively as La, Lb and Lc when the person just enters a security inspection area A, just enters an optimal imaging area B and just leaves the optimal imaging area C from the image formed by a first terahertz security inspection instrument for front surface detection; obtaining the distances Ka, Kb and Kc from the vertex to the image boundary when the image just enters the security inspection area A, just enters the optimal imaging area B and just leaves the optimal imaging area C from the image formed by the second terahertz security inspection instrument for back detection;
b. image acquisition: the distance between the vertex and the image boundary is L in the security inspection image detected by the detected person just entering the security inspection area A and on the front side0(ii) a Distance K from vertex to image boundary in security inspection image for back detection0Then, in the terahertz security inspection image in the optimal imaging region, the distance from the vertex to the image boundary must satisfy the following requirements:
the security inspection image of the first terahertz security inspection instrument:
and (3) security inspection images of a second terahertz security inspection instrument:
c. image extraction: in the terahertz security check imaging process, the distance between the vertex of the head and the image boundary in each frame of terahertz security check image on the front side and the back side is calculated, comparison is carried out according to the calculation range, the terahertz security check image meeting the requirements is extracted, and then relevant image processing of dangerous goods detection and identification is carried out.
The specific embodiment is as follows: the total length of a security inspection area of the human body security inspection channel is 2.4 meters, and people with the height H equal to 1.8 meters walk normally and perform security inspection terahertz image acquisition through an area A, B, C; in the front terahertz image, the distances from the top of the head to the image boundary are respectively La (100 pixels), Lb (80 pixels) and Lc (20 pixels);
in the back terahertz image, the distance from the vertex to the image boundary is Ka to 18 pixels, Kb to 25 pixels, and Kc to 90 pixels, respectively.
When a person with unknown height walks into the point A of the security check area, the distances between the vertex and the image boundary in the front terahertz image and the back terahertz image are respectively L0-120 pixels and K0-30 pixels,
when the person walks through the security inspection area, the distance between the vertex of the head and the boundary of the obtained terahertz security inspection image in the front and back sides meets the conditions that L is more than or equal to 24 pixels and less than or equal to 96 pixels, and K is more than or equal to 41 pixels and less than or equal to 150 pixels; and comparing according to the calculation range, extracting the terahertz security inspection image meeting the requirement, and then carrying out relevant image processing of dangerous goods detection and identification.
The working principle is that the distance between the vertex of the head and the image boundary in the terahertz security inspection image where three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the proportional relation of imaging fields is utilized to determine the terahertz security inspection image formed by each detected person in the optimal imaging area; the method only extracts the terahertz human body security inspection image formed in the optimal imaging area for hazardous article detection, thereby not only avoiding the problem that the optimal imaging area cannot be determined by hardware due to limited field installation, but also improving the real-time property of terahertz human body security inspection image processing and the accuracy of hazardous article detection.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (3)
1. A passive terahertz human body security check image extraction method is characterized by comprising the following steps: the distance between the vertex of the head and the boundary of the image in the terahertz security inspection image where three specified imaging points are located in the security inspection imaging area is calibrated at a time, and the terahertz security inspection image formed by each detected person in the optimal imaging area is determined by utilizing the proportional relation of imaging fields.
2. The method for extracting the passive terahertz human body security check image as claimed in claim 1, wherein the method comprises the following specific operation steps that a first terahertz security check instrument and a second terahertz security check instrument are respectively arranged at two ends in the length direction of a human body security check channel, the first terahertz security check instrument and the second terahertz security check instrument are both passive terahertz security check instruments, and in a terahertz image formed by the first terahertz security check instrument for performing security check on the front side of a detected person, as the detected person is closer to the security check instruments, the number of pixels of a human body outline in the terahertz image is more and more, and the distance L from the vertex to the image boundary is more and more; in a terahertz image formed by a second terahertz security check instrument for performing security check on the back of the detected person, the distance K from the top of the head to the image boundary is smaller and smaller;
which comprises the following steps:
a. calibration before delivery: testing a person with the height of H through a security inspection area, and obtaining the distances from the top of the head to the boundary of an image respectively as La, Lb and Lc when the person just enters a security inspection area A, just enters an optimal imaging area B and just leaves the optimal imaging area C from the image formed by a first terahertz security inspection instrument for front surface detection; obtaining the distances Ka, Kb and Kc from the vertex to the image boundary when the image just enters the security inspection area A, just enters the optimal imaging area B and just leaves the optimal imaging area C from the image formed by the second terahertz security inspection instrument for back detection;
b. image acquisition: the distance between the vertex and the image boundary is L in the security inspection image detected by the detected person just entering the security inspection area A and on the front side0(ii) a Distance K from vertex to image boundary in security inspection image for back detection0Then, in the terahertz security inspection image in the optimal imaging region, the distance from the vertex to the image boundary must satisfy the following requirements:
the security inspection image of the first terahertz security inspection instrument:
and (3) security inspection images of a second terahertz security inspection instrument:
c. image extraction: in the terahertz security check imaging process, the distance between the vertex of the head and the image boundary in each frame of terahertz security check image on the front side and the back side is calculated, comparison is carried out according to the calculation range, the terahertz security check image meeting the requirements is extracted, and then relevant image processing of dangerous goods detection and identification is carried out.
3. The method for extracting the passive terahertz human body security inspection image as claimed in claim 2, characterized in that: all distance values are in pixels.
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