CN113901967B - Imaging processing method and device of intelligent security check machine and computer readable storage medium - Google Patents

Imaging processing method and device of intelligent security check machine and computer readable storage medium Download PDF

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CN113901967B
CN113901967B CN202111487133.2A CN202111487133A CN113901967B CN 113901967 B CN113901967 B CN 113901967B CN 202111487133 A CN202111487133 A CN 202111487133A CN 113901967 B CN113901967 B CN 113901967B
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dark current
security inspection
full scale
corrected
intelligent security
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CN113901967A (en
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吴小洲
赵进
刘飞
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Zhejiang Zhuoyun Intelligent Technology Co ltd
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Zhejiang Zhuoyun Intelligent Technology Co ltd
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Abstract

The embodiment of the application discloses an imaging processing method and device of an intelligent security check machine and a computer readable storage medium, wherein the method comprises the following steps: when no security inspection article exists in the designated range corresponding to the intelligent security inspection machine, acquiring an imaging correction instruction; acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction; instructing the intelligent security inspection machine to close the ray signal, and determining a corrected full scale value according to the full scale value image; collecting a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine does not have a ray signal; determining a corrected dark current according to the dark current image, and correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value; the method can correct the intelligent security check machine without suspending article security check, ensures that the whole machine is not influenced by temperature drift during operation, does not lose security check images of security check articles during correction, and ensures the accuracy, high efficiency, comprehensiveness and fluency of the intelligent security check process.

Description

Imaging processing method and device of intelligent security check machine and computer readable storage medium
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an imaging processing method and apparatus for an intelligent security check machine, and a computer-readable storage medium.
Background
In modern security checkpoints, the generation of image signals mainly results from the scintillation imaging of the detector on the detection plate after the X-rays have passed through the object. And the security check machine corrects the data corresponding to each detection point through the two-point correction model, so that the final imaging is determined. The two-point correction model includes dark current and fullness values. Because the detector and other electronic components on the detection plate can generate heat in the working process, namely generate heat, and meanwhile, because the detection plate is in a closed detection box, the temperature of the whole detection box is increased if the heat dissipation is poor, the increase of dark current is also intensified, so that the combined signal of signals generated based on the incidence of the dark current and normal X-rays, namely the full scale value is increased, a two-point correction model based on the dark current and the full scale value is invalid, and an unqualified image is generated. Such as: the security inspection machine determines the information of the security inspection object to generate deviation, which causes the color information of the security inspection object to be wrong, for example, as shown in fig. 1, the organic matter portion which should be displayed as orange is displayed as green, and sometimes, a horizontal white line with uniform interval is also displayed.
Therefore, in daily work, security personnel need to correct the two-point correction model at intervals or every time when finding that the image is not qualified, so as to ensure the accuracy of the image. However, in the two-point calibration model, the full scale value and the dark current need to be collected again, and after the full scale value and the dark current are collected, it takes time for the two-point calibration model corresponding to each detection point in the security inspection machine to be updated, and this process is very time consuming. Therefore, the security check personnel can collect the full scale value and the dark current and correct the two-point correction model of each detection point after stopping the security check package, so that the accumulation of packages which are not subjected to security check is caused, and the security check progress is influenced.
Disclosure of Invention
In order to solve the above problems in the background art, embodiments of the present application provide an imaging processing method and apparatus for an intelligent security check machine, and a computer-readable storage medium.
The first aspect of the embodiment of the present application provides an imaging processing method for an intelligent security check machine, where the method includes: when no security inspection article exists in the designated range corresponding to the intelligent security inspection machine, acquiring an imaging correction instruction; acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction; instructing the intelligent security inspection machine to close a ray signal, and determining a corrected full scale value according to the full scale value image; collecting a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine does not have a ray signal; and determining a corrected dark current according to the dark current image, and correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value.
In an embodiment, the obtaining an imaging correction instruction when no security inspection article exists in a specified range corresponding to the intelligent security inspection machine includes: sensing at least a first security inspection article through a photoelectric sensor, and acquiring an imaging correction instruction under the condition that the sensing time interval of the first security inspection article and a second security inspection article exceeds a first time threshold; the first security inspection article is an article subjected to security inspection, the second security inspection article is an article not subjected to security inspection, and the first security inspection article is adjacent to the second security inspection article.
In an embodiment, the method further comprises: determining a transfer distance between the photoelectric sensor and the intelligent security check machine; determining a conveying speed of a conveying device; wherein, the conveying device is used for conveying the security check article; determining theoretical time for conveying the security check articles to the intelligent security check machine according to the conveying speed and the conveying distance; and determining the first time threshold according to the theoretical time so that the first time threshold is not less than the theoretical time.
In an embodiment, the instructing the intelligent security inspection machine to turn off the ray signal includes: and when the full scale value images meeting the preset number are determined to be acquired, indicating the intelligent security check machine to close the ray signal.
In an embodiment, the determining a corrected fullness value from the fullness value image comprises: and under the condition that the intelligent security inspection machine closes the ray signal, carrying out average processing on all the full scale values in the full scale value image to obtain a corrected full scale value.
In one embodiment, the determining a corrected dark current from the dark current image comprises: and under the condition that the intelligent security inspection machine is enabled to turn on the ray signal, averaging all dark currents in the dark current image to obtain corrected dark currents.
In an embodiment, the correcting the smart security inspection machine according to the corrected dark current and the corrected full scale value includes: when the induction time interval of the adjacent security inspection articles does not exceed a second time threshold, imaging the second security inspection article according to the initial full value and the initial dark current to obtain a first security inspection image; and updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value so as to perform image correction on subsequent security inspection articles through the corrected dark current and the corrected full scale value.
In an embodiment, the method further comprises: determining the interval time between the second security check item and the subsequent security check item; determining the correction time of the intelligent security check machine by the correction dark current and the correction full value; and under the condition that the interval time is not less than a third time threshold, carrying out image correction on the subsequent security inspection articles through the corrected dark current and the corrected full scale value.
In an embodiment, the method further comprises: determining a first time required for acquiring a fullness value image; determining a second time required for acquiring a dark current image; determining a third time required to turn off the ray signal; determining a fourth time required to turn on the ray signal; and integrating the first time, the second time, the third time and the fourth time to obtain a first time threshold value.
In an embodiment, the acquiring a fullness value image corresponding to the intelligent security inspection machine according to the imaging correction instruction includes: acquiring a fullness value image corresponding to the intelligent security inspection machine when the sensing time interval between the first security inspection article and the second security inspection article does not exceed a first time threshold and meets the first time; and under the condition of acquiring and obtaining a full scale value image, imaging a second security inspection article according to the initial full scale value and the initial dark current, and determining a correction full scale value according to the full scale value image.
In an embodiment, the instructing the intelligent security inspection machine to turn off the ray signal includes: collecting a dark current image corresponding to the intelligent security inspection machine under the condition that the induction time interval of adjacent security inspection articles does not exceed a first time threshold and meets the integration of a second time, a third time and a fourth time; and under the condition of acquiring and obtaining the dark current image, imaging the next security inspection article according to the initial full scale value and the initial dark current, and determining and correcting the dark current according to the dark current image.
In an embodiment, the correcting the smart security inspection machine according to the corrected dark current and the corrected full scale value includes: determining a fifth time required for correcting the intelligent security check machine; when the induction time interval of adjacent security inspection articles exceeds the fifth time, correcting the intelligent security inspection machine according to the corrected dark current and the corrected full scale value; and imaging the next security inspection article according to the corrected full scale value and the corrected dark current.
A second aspect of the embodiments of the present application provides an imaging processing apparatus of an intelligent security check machine, the apparatus includes: the acquisition module is used for acquiring an imaging correction instruction under the condition that no security inspection article exists in the specified range corresponding to the intelligent security inspection machine; the acquisition module is used for acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction; the indicating module is used for indicating the intelligent security inspection machine to turn on and turn off ray signals, sending a signal for acquiring a full scale image, sending a signal for acquiring a dark current image, sending a signal for determining a corrected full scale according to the full scale image, and sending a signal for determining a corrected dark current according to the dark current image; the acquisition module is further used for acquiring a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine is determined to have no ray signal; and the correction module determines a corrected full scale value according to the full scale value image, determines a corrected dark current according to the dark current image, and corrects the intelligent security check machine according to the corrected dark current and the corrected full scale value.
In an embodiment, the obtaining module includes: sensing at least a first security inspection article through a photoelectric sensor, and acquiring an imaging correction instruction under the condition that the sensing time interval of the first security inspection article and a second security inspection article exceeds a first time threshold; the first security inspection article is an article subjected to security inspection, the second security inspection article is an article not subjected to security inspection, and the first security inspection article is adjacent to the second security inspection article.
In one embodiment, the apparatus further comprises: the determining module is used for determining the transmission distance between the photoelectric sensor and the intelligent security check machine; the determining module is further used for determining the conveying speed of the conveying device; wherein, the conveying device is used for conveying the security check article; the determining module is further used for determining theoretical time for conveying the security inspection articles to the intelligent security inspection machine according to the conveying speed and the conveying distance; the determining module is further configured to determine the first time threshold according to the theoretical time, so that the first time threshold is not less than the theoretical time.
In an embodiment, the indication module includes: and when the full scale value images meeting the preset number are determined to be acquired, indicating the intelligent security check machine to close the ray signal.
In an embodiment, the indication module includes: and under the condition of indicating the intelligent security inspection machine to close the ray signal, carrying out average processing on all the full scale values in the full scale value image to obtain a corrected full scale value.
In an embodiment, the indication module includes: and under the condition of indicating the intelligent security inspection machine to turn on the ray signal, carrying out average processing on all dark currents in the dark current image to obtain corrected dark currents.
In one embodiment, the correction module includes: when the induction time interval of the adjacent security inspection articles does not exceed a second time threshold, imaging the second security inspection article according to the initial full value and the initial dark current to obtain a first security inspection image; and updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value so as to perform image correction on subsequent security inspection articles through the corrected dark current and the corrected full scale value.
In an embodiment, the determining module is further configured to determine an interval between the second security check item and the subsequent security check item; the determining module is further used for determining the correction time of the intelligent security check machine by the correction dark current and the correction full-scale value; and the correction module is also used for carrying out image correction on subsequent security inspection articles through the correction dark current and the correction full scale value under the condition that the interval time is not less than a third time threshold.
A third aspect of the embodiments of the present application provides a computer-readable storage medium, where the storage medium includes a set of computer-executable instructions, and when the instructions are executed, the storage medium is configured to perform the imaging processing method of the intelligent security inspection machine according to any one of the foregoing implementable embodiments.
The imaging processing method of the intelligent security check machine provided by the embodiment of the application is used as the imaging processing method of the intelligent security check machine
Under the condition that no security inspection article exists in the designated range, the intelligent security inspection machine can be considered to have an idle period of a period of time, the method can utilize the idle period to finish the acquisition of the full scale value image and the dark current image, so that the article security inspection does not need to be suspended, and then the method can determine whether to update the correction slow value and the correction dark current according to whether the induction time interval of adjacent security inspection articles meets the update time of the correction full scale value and the correction dark current, thereby ensuring that each security inspection article can be acquired, ensuring that the security inspection machine cannot lose the security inspection image of the security inspection article during the correction, ensuring the high efficiency, the comprehensiveness and the smoothness of the intelligent security inspection process, and avoiding dragging the security inspection progress.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 is a schematic view of an article being subjected to security inspection by a prior art security inspection machine;
fig. 2 is a schematic flow chart of an implementation of an imaging processing method of an intelligent security inspection machine according to an embodiment of the present application;
FIG. 3 is a schematic model diagram of a two-point calibration model according to an embodiment of the present application;
FIG. 4 is a schematic distribution diagram of detection plates of a security inspection machine according to an embodiment of the present application;
fig. 5 is a schematic diagram of an implementation module of an imaging processing apparatus of an intelligent security inspection machine according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 2 is a schematic flow chart illustrating an implementation process of an imaging processing method of an intelligent security check machine according to an embodiment of the present application.
Referring to fig. 2, a first aspect of the embodiments of the present application provides an imaging processing method for an intelligent security check machine, where the method includes: operation 101, when no security inspection article exists in a designated range corresponding to the intelligent security inspection machine, acquiring an imaging correction instruction; operation 102, acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction; operation 103, instructing the intelligent security inspection machine to close the ray signal, and determining a corrected full scale value according to the full scale value image; operation 104, collecting a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine does not have the ray signal; and operation 105, determining a corrected dark current according to the dark current image, and correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value.
According to the imaging processing method of the intelligent security check machine, when no security check article exists in the designated range of the intelligent security check machine, the intelligent security check machine can be considered to have an idle period for a period of time, during the idle period, the full-scale correction value and the dark current correction value are determined again to correct the intelligent security check machine, the corrected intelligent security check machine can obtain a higher-quality security check image, accuracy and stability of the intelligent security check process are guaranteed, further, by the method, each security check article can be subjected to security check through the intelligent security check machine, the situation that the security check image corresponding to the security check article is lost is avoided, and high efficiency and comprehensiveness of the intelligent security check process are guaranteed. By applying the method, article security inspection does not need to be suspended, and the fluency of the article security inspection process is ensured.
The intelligent security check machine referred by the method can be unattended security check equipment, and is provided with a data processing device which can realize functions such as control, calculation and the like through matched running software. The intelligent security check machine can run software for intelligently identifying dangerous goods through AI, and the unattended purpose is realized by adopting the mode of intelligently identifying the dangerous goods through AI.
In the method operation 101, the designated range can be preset by a worker, and when no security inspection article exists in the designated range of the intelligent security inspection machine, the intelligent security inspection machine is in an idle state at the moment, and sufficient time is available for updating the current full value and the current dark current of the intelligent security inspection machine, so that the two-point correction model of the intelligent security inspection machine is updated, and the imaging accuracy and integrity of the intelligent security inspection machine are ensured. It will be appreciated that in the method, the specified range is determined in relation to the transit time of the security check item, in general, the greater the specified range, the more abundant the imaging correction time of the intelligent security check machine, but at the same time the more difficult this condition is to be met; the smaller the corresponding specified range is, the shorter the imaging correction time of the intelligent security check machine is, but at the same time, the easier this condition is to satisfy. Based on the method, according to the environment of the intelligent security inspection machine, the method can refer to historical security inspection information and select a proper specified range to ensure that the intelligent security inspection machine can meet the requirement of imaging correction. It can be further understood that when the intelligent security inspection machine is in a busy security inspection environment, that is, the shorter the gap time between two security inspection objects is inspected by the intelligent security inspection machine, the method needs to compress the designated range as much as possible so as to achieve the purpose of performing rapid imaging correction on the intelligent security inspection machine. The imaging correction instruction is used for instructing the intelligent security check machine to re-determine the current full value and dark current so as to correct the two-point correction model and ensure the effectiveness of the two-point correction model.
Specifically, the principle of security inspection machine imaging is as follows:
in security inspection machines, the generation of image signals mainly results from the scintillation imaging of the detector on the detection plate after the X-rays have passed through the object. X-rays penetrate through the surface of the detector to reach the internal scintillator, visible light is generated by exciting the scintillator, then opaque and high-reflection substances around the scintillation crystal enable light to intensively penetrate through the transparent thin film layer to reach the photodiode, the photodiode generates an electric signal, and finally the A/D conversion unit converts an analog signal into a digital signal and transmits the digital signal to a control device, such as an upper computer, a PC (personal computer) and the like.
Due to the thermionic effect and the slight leakage of the insulating material, the detector also generates a current, which is a dark current, in the absence of X-ray and other visible light inputs.
In order to effectively solve the problem of signal abnormality caused by temperature rise, the magnitudes of the dark current and the full scale value need to be updated in time to ensure the effectiveness of a two-point correction model, which is shown in fig. 3.
In which the middle railDThe magnitude of the response value generated by the detection plate under the condition of X-ray turning-off, namely, the dark current. In addition inMThe maximum response value of the detection plate when no package passes under the condition of X-ray starting is a full scale value. It will be appreciated that in the same security inspection machine there are a plurality of probe plates with a plurality of probe points on the probe plates because of the length of each probe pointD, ØM]Are different, the data inconsistency is too strong, and based on the data inconsistency, the maximum target threshold value preset by the two-point correction modely My MIs determined according to the maximum value of the data which can be represented by the detection plate. If the detection plate corresponds to the A/D conversion module which can express data as 16bit without symbol, the data returned back is 16bit data without symbol, and the maximum expressible range is 0-65535, theny MIs not more than 65535. By passing through the (0) channel,y M]for each detection pointD, ØM]Stretching to make the vertical axis of each detection pointD, ØM]Is pulled to a value of 0,y M]. Stretching can be performed by a linear function of unity to extend the range ([ in full [ ])D, ØM]) The probe plate response values in (a) stretch to [0,y M]the specific unary linear function is as follows:
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Wherein in the formula
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The response value of any detection point after the X-ray passes through the security inspection object, namely the response value of the X-ray signal after the security inspection object is shielded to cause the X-ray attenuation.
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Is at present
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The final response value obtained after stretching.
It should be understood from fig. 4 that, between the detection plate and the detection plate, due to the small machine space, a shielding phenomenon occurs on a part of the detection plate, and the energy of the part of the X-ray passing through the upper detection plate to the detection point of the shielded area becomes smaller, that is, the full scale value
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Small, some places may be
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Ten-tap near dark current
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Then is at
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In the fixed condition
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/
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-
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) Also has a large value of
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In the case of the occurrence of a drift,
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the maximum value of (c) will also become quite large. Because the data returned by the 16-bit A/D conversion module of the detection plate is unsigned 16-bit data, after correction, if the data caused by temperature drift exceeds 65535 (the representation range of unsigned 16 data is 0-65535), an image distortion condition is generated, and all the data exceeding 65535 are marked as 65535, so that a part of effective information of the image is lost. The distorted part is represented on the image, that is, between the detection plate and the detection plate, the information generated by the partially blocked point is white finally (data conversion of 65535 is 255 of 8-bit unsigned byte, and 255 represents white), and the problem is caused by the white lines in the horizontal direction with uniform spacing in fig. 1. By applying the method, the dark current and the full scale value are corrected in time, so that the corrected data can not exceed 65535, data overflow (information loss) can not be caused, and the phenomenon of white stripes can not occur. Because of the original
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Generally not too large, not exceeding 65535, as long as
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And
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updated correctly, corrected
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No overflow will occur.
In the operation 102 of the method, it is added that the intelligent security check machine may be integrated with a control device for data processing, or may be combined with a control mechanism for data processing, such as a computer, to achieve instruction acquisition and indication. After the intelligent security check machine obtains the imaging correction instruction, at the moment, the intelligent security check machine can collect a plurality of test values in the current state, no security check article passes through the intelligent security check machine in the idle state, the collected test values are full scale value images, and the corresponding correction full scale value can be obtained by analyzing and processing the full scale value images. The analysis processing method includes but is not limited to: and taking the mean value, the median value, any value and the like of the image of the full scale value.
In method operation 103, the method may determine a corrected fullness value from the fullness value image during the same time period that the intelligent security check machine is instructed to turn off the ray signal. It should be understood that, under the condition that the ray signal is turned off, the turning-off process of the intelligent security inspection machine needs to be continued for a period of time, and the method can analyze and process the image of the full scale value by using the period of time, so that the data processing efficiency is improved, the time is saved, the requirement on the distance between the security inspection object and the security inspection object is reduced, the embodiment can normally operate under most conditions, and the effect of not leaking the security inspection object is achieved. Namely, the effect of reducing the designated range of the operation 101 can be achieved, so that the method is more suitable for a busy security inspection environment.
In the method operation 104, a dark current image corresponding to the intelligent security check machine is collected when it is determined that the intelligent security check machine does not have a ray signal. Specifically, the method can be used for setting a corresponding signal acquisition device in the intelligent security check machine to determine whether the intelligent security check machine has a ray signal; the method can also collect the detection point data in real time or at intervals, and when the detection point data is stabilized at the lowest point, the dark current image corresponding to the intelligent security inspection machine is collected; the method can also set a time threshold according to the time required by the historical intelligent security check machine to close the ray signal, and acquires the dark current image corresponding to the intelligent security check machine after the time threshold is met.
In the method operation 105, a corresponding corrected dark current may be obtained by analyzing the dark current image. The analysis processing method includes but is not limited to: and taking the mean value, the median value, any value and the like of the image of the full scale value. After the correction dark current and the correction full scale value are determined, the method can update the two-point correction model according to the correction dark current and the correction full scale value to ensure the effectiveness of the two-point correction model, so that the intelligent security check machine is corrected, and the imaging quality of the security check image of the intelligent security check machine is ensured. By the method, the new full scale value and the new dark current can be obtained without manually restarting software, and the method is suitable for intelligent security check machines.
In an implementation, in operation 101, in a case where no security inspection article exists in a specified range corresponding to the intelligent security inspection machine, obtaining an imaging correction instruction includes: sensing at least a first security inspection article through a photoelectric sensor, and acquiring an imaging correction instruction under the condition that the sensing time interval of the first security inspection article and a second security inspection article exceeds a first time threshold; the first security inspection article is an article subjected to security inspection, the second security inspection article is an article which is not subjected to security inspection, and the first security inspection article is adjacent to the second security inspection article.
Specifically, the method can determine whether security inspection articles exist in the specified range through the photoelectric sensor. The method can arrange the photoelectric sensor at a certain distance in front of the intelligent security check machine, and the photoelectric sensor is also in communication connection with the control device of the intelligent security check machine so as to realize signal transmission with the control device. The method may determine whether a sensing time interval of the first security check item and the second security check item exceeds a first time threshold by receiving a photoelectric sensing signal from a photoelectric sensor. It should be understood that, in the method, the sensing time interval is determined without the photoelectric sensor acquiring the corresponding first security inspection article and the second security inspection article, specifically, after the photoelectric sensor sends the photoelectric sensing signal corresponding to the first security inspection article to the control device, the control device may start to calculate the sensing time interval, and if the photoelectric sensor does not send the photoelectric sensing signal corresponding to the second security inspection article to the control device yet, the sensing time interval already exceeds the first time threshold, at this time, it may also be considered that the sensing time interval of the first security inspection article and the second security inspection article exceeds the first time threshold, and the imaging correction instruction is obtained. The distance between the photoelectric sensor and the intelligent security check machine can be set manually. Generally, it needs to be satisfied that, within a time length equal to a first time threshold after the photoelectric sensor sends the photoelectric sensing signal corresponding to the first security check article to the control device, the first security check article has already passed through the intelligent security check machine, so as to achieve the purpose that no security check article exists within a specified range corresponding to the intelligent security check machine. If the first security check article does not pass through the intelligent security check machine within a time length equal to the first time threshold after the photoelectric sensor sends the photoelectric sensing signal corresponding to the first security check article to the control device, the imaging correction instruction needs to be obtained after the first security check article is detected to pass through the intelligent security check machine.
In an embodiment, the method further comprises: firstly, determining a transmission distance between a photoelectric sensor and an intelligent security check machine; then, determining the conveying speed of the conveying device; wherein, the conveying device is used for conveying the security inspection articles; then, determining theoretical time for conveying the security inspection articles to the intelligent security inspection machine according to the conveying speed and the conveying distance; and finally, determining a first time threshold according to the theoretical time so that the first time threshold is not less than the theoretical time.
Further, the first time threshold of the method may be determined according to a required conveying distance between the security inspection object from the photoelectric sensor to the intelligent security inspection machine and a conveying speed of the conveying device, and it is understood that the conveying device is used for conveying the security inspection object to the intelligent security inspection machine. By associating the first time threshold with the transmission distance and the transmission speed, the first time threshold can be synchronously adjusted under the condition that the position of the photoelectric sensor needs to be adjusted and/or the transmission speed of the transmission device needs to be adjusted, so that the intelligent security inspection machine provided by the application can adapt to more security inspection environments and security inspection conditions.
In one implementation, the instructing the intelligent security inspection machine to turn off the ray signal in operation 103 includes: and when the full scale value images meeting the preset number are determined to be acquired, indicating the intelligent security check machine to close the ray signal. In order to ensure the accuracy of the corrected full scale value for updating the two-point correction model, the method needs to acquire a plurality of full scale value images. Specifically, the method can acquire the image of the full scale value with a preset number of frames at certain intervals or randomly, so as to acquire the corresponding image of the full scale value, and then instruct the intelligent security inspection machine to close the ray signal under the condition that the image of the full scale value meeting the requirement is determined to be acquired. Compared with the method for directly acquiring the full scale value, the method for acquiring the full scale value image can acquire the original data more quickly, so that the instruction for closing the ray signal is transmitted more quickly, the full scale value is determined and corrected according to the full scale value image within sufficient time in the subsequent process of closing the ray signal, reasonable distribution of data processing on time is facilitated, the transmission time of the instruction for closing the ray signal can be shortened, and the correction time of the two-point correction model is further shortened. It should be understood that it takes time for the radiation source of the security inspection machine to turn off the radiation signal, so that the method starts to calculate and correct the full scale value while sending the turn-off radiation signal, so as to fully utilize the part of time and the time for collecting the dark current, to save the time required for data correction, and to reduce the requirement for the distance between the security inspection object and the security inspection object, so that the method can be allowed under most conditions, and achieve the effect of no packet loss. That is, the device of the method may set a trigger condition for instructing the intelligent security inspection machine to turn off the ray signal as the start of calculating the correction full scale value, so as to implement the synchronous execution of the two operations.
Furthermore, considering according to the time required for calculating the correction full scale value, if the ray closing time is less than the calculation time of the correction full scale value, the method can still perform the calculation operation of the correction full scale value while acquiring the dark current image. That is, the dark current image acquisition operation is only related to whether the radiation signal is completely turned off, that is, only to whether there is no radiation signal in the security check machine, regardless of the calculation operation for correcting the fullness value.
In one embodiment, the operation 103 of determining a corrected fullness value from the fullness value image includes: and under the condition that the intelligent security inspection machine closes the ray signal, carrying out average processing on all the full scale values in the full scale value image to obtain a corrected full scale value. Specifically, the method determines the full scale value corresponding to each test point on each frame of image according to each frame of full scale value image, and then performs average processing on all full scale values to obtain a corrected full scale value, namely, the corrected full scale value is the average value of the test full scale values corresponding to the collected full scale value image.
It should be understood that the intelligent security inspection machine of the method needs to obtain the test full scale value and the dark current corresponding to each test point, so that the target data to be acquired can be obtained more quickly by performing data analysis in the mode of the full scale value image and the dark current image.
In one possible implementation, the determining a corrected dark current from the dark current image in operation 105 includes: and under the condition that the intelligent security inspection machine turns on the ray signal, averaging all dark currents in the dark current image to obtain corrected dark currents. Similarly, the method determines the dark current corresponding to each test point on each frame of image according to each frame of dark current image, and then performs average processing on all the full scale values to obtain the corrected dark current, namely the corrected dark current is the average value of the test dark current corresponding to the collected full scale value image. It is to be understood that the characterization units for the dark current and the fullness values are uniform.
In an implementation, the operation 105, calibrating the smart security inspection machine according to the corrected dark current and the corrected full scale value, includes: firstly, under the condition that the induction time interval of adjacent security inspection articles does not exceed a second time threshold, imaging processing is carried out on a second security inspection article according to an initial full value and an initial dark current, and a first security inspection image is obtained; and then, determining a corrected dark current according to the dark current image, updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value, and performing image correction on subsequent security inspection articles through the corrected dark current and the corrected full scale value.
In order to further shorten the idle time of the intelligent security inspection machine, in one specific implementation case, the first time threshold may be set to the minimum required time for performing the full-scale image acquisition time, the dark current image acquisition, the ray-off time and the ray-on time, i.e., the sum time thereof. The intelligent security inspection machine can acquire the full scale value image and the dark current image only by ensuring that the idle time of the intelligent security inspection machine can be ensured, and the passing and imaging of security inspection objects are not influenced. Under the condition, the method can further shorten the designated range, so that the method further reduces the requirement on the designated range and more easily meets the requirement of a busy security inspection environment.
In this case, when the sensing time interval of adjacent security inspection objects does not exceed the second time threshold, the method instructs the intelligent security inspection machine to turn on the ray signal after acquiring the dark current image, it should be understood that the instruction of the intelligent security inspection machine to turn on the ray signal refers to that the ray signal is completely turned on, and the turn-on ray signal has a certain turn-on time similarly to the turn-off ray signal. Under the condition, the second security inspection article is subjected to image acquisition processing through the ray signal, and the second security inspection article is subjected to imaging processing according to the initial full value and the initial dark current, so that the minimum security inspection requirement is at least guaranteed, and the purpose of not losing the information of the security inspection article and the corresponding security inspection image is realized. Meanwhile, in this case, the method may start to calculate the corrected dark current according to the dark current image, and then update the initial full value and the initial dark current according to the corrected dark current and the corrected full value, so as to perform image correction on the subsequent security inspection article by the corrected full value.
It is to be understood that the initial full value and the initial dark current refer to the full value and the dark current adopted by the two-point correction model without updating the two-point correction model.
In an embodiment, the method further comprises: firstly, determining the interval time between a second security inspection article and a subsequent security inspection article; then, determining the correction time of the correction dark current and the correction full-scale value to the intelligent security check machine; and then, under the condition that the interval time is not less than the third time threshold, carrying out image correction on the subsequent security inspection articles through correcting the dark current and the full scale value.
In another specific implementation scenario, if the interval between the second security inspection item and the subsequent security inspection item is very short, for example, the second security inspection item and the subsequent security inspection item are overlapped, attached, or staggered. The interval time cannot meet the correction time of the two-point correction model by the correction dark current and the correction full scale value, and in this case, the method needs to image the subsequent security check article by the initial full scale value and the initial dark current. And performing image correction on the subsequent security check articles through the correction full-scale value until the interval time between any two adjacent security check articles is not less than the third time threshold.
In an embodiment, the method further comprises: firstly, determining first time required for acquiring a full scale value image; determining a second time required for acquiring a dark current image; determining a third time required to turn off the ray signal; determining a fourth time required to turn on the ray signal; then, the first time, the second time, the third time and the fourth time are integrated to obtain a first time threshold.
To further understand the definition of the first time threshold, the present application provides a way to calculate the first time threshold. Specifically, the method needs to predetermine a first time required for acquiring the full scale value images of the specified frame number, a second time required for acquiring the dark current images of the specified frame number, a third time for turning off the ray signal, and a fourth time required for turning on the ray signal. The first time threshold of the method is the sum of the first time, the second time, the third time and the fourth time. When the first time threshold value meets the sum value, the security inspection machine can finish the acquisition of the image of the full scale value and the dark current image in the gap between two adjacent security inspection articles, and the purpose of not losing the information of the security inspection articles is realized.
In one embodiment, acquiring a fullness value image corresponding to an intelligent security check machine according to an imaging correction instruction comprises: firstly, acquiring a fullness value image corresponding to an intelligent security check machine under the condition that the sensing time interval between a first security check article and a second security check article does not exceed a first time threshold and meets first time; and then, under the condition that a full scale value image is acquired, imaging processing is carried out on the second security inspection article according to the initial full scale value and the initial dark current, and a correction full scale value is determined according to the full scale value image.
In one implementation, the method for instructing the intelligent security inspection machine to turn off the ray signal comprises the following steps: firstly, collecting a dark current image corresponding to the intelligent security inspection machine under the condition that the induction time interval of adjacent security inspection articles does not exceed a first time threshold and meets the integration of second time, third time and fourth time; and then, under the condition of acquiring and obtaining a dark current image, imaging the next security inspection article according to the initial full scale value and the initial dark current, and determining and correcting the dark current according to the dark current image.
In one implementation, the correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value comprises the following steps: determining fifth time required for correcting the intelligent security check machine; when the induction time interval of adjacent security inspection articles exceeds the fifth time, correcting the intelligent security inspection machine according to the corrected dark current and the corrected full scale value; and imaging the next security inspection object according to the corrected full scale value and the corrected dark current.
Furthermore, in order to further adapt to a busy security inspection environment and shorten the self-correction time of the security inspection machine, the method can also collect the full scale value image and the dark current image between different adjacent security inspection objects respectively so as to further shorten the collection time of the full scale value image and the dark current image.
Specifically, for convenience of understanding, the first time is determined as the image acquisition time of the full scale value, and the sum of the second time, the third time, and the fourth time is determined as the dark current acquisition time. When the time interval between adjacent security inspection articles meets the image acquisition time of the full scale value, the full scale value image can be acquired within the time interval, and then under the condition that the full scale value and the dark current are not corrected, the imaging processing of the security inspection article which enters the security inspection machine firstly at present is completed by the initial full scale value and the initial dark current. When the time interval between two security inspection articles meets the dark current acquisition time, the acquisition of the dark current image can be completed in the time interval, and then under the condition that the full value and the dark current are not corrected, the imaging processing of the security inspection article which enters the security inspection machine firstly at present is completed by the initial full value and the initial dark current. When the device obtains the corrected full scale value and the corrected dark current, the method can correct the intelligent security inspection machine according to the corrected dark current and the corrected full scale value and perform imaging processing on subsequent security inspection articles according to the corrected full scale value and the corrected dark current under the condition that the time interval between adjacent security inspection articles meets the fifth time, namely the time required by correction of the full scale value and the dark current is completed. It should be understood that, according to the actual time interval between adjacent security inspection articles, the method may collect the dark current image first, then collect the full scale value image, or collect the full scale value image first, then collect the dark current image, further, the method may set the priority of collecting the dark current image to be the priority higher than the full scale value image, so as to further utilize the gap time of the security inspection machine to complete the collection of the dark current image and the full scale value image.
Fig. 5 is a schematic diagram of an implementation module of an imaging processing apparatus of an intelligent security inspection machine according to an embodiment of the present application.
Referring to fig. 5, a second aspect of the embodiments of the present application provides an imaging processing apparatus of an intelligent security check machine, the apparatus including: an obtaining module 501, configured to obtain an imaging correction instruction when no security inspection article exists in a specified range corresponding to the intelligent security inspection machine; the acquisition module 502 is used for acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction; the indicating module 503 is used for indicating the intelligent security inspection machine to turn on and off ray signals, sending a signal for acquiring a full scale image, sending a signal for acquiring a dark current image, sending a signal for determining a corrected full scale according to the full scale image, and sending a signal for determining a corrected dark current according to the dark current image; the acquisition module 502 is further configured to acquire a dark current image corresponding to the intelligent security check machine when it is determined that the intelligent security check machine does not have a ray signal; and the correction module 504 is used for determining a corrected full scale value according to the full scale value image, determining a corrected dark current according to the dark current image, and correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value.
In one embodiment, the obtaining module 501 includes: sensing at least a first security inspection article through a photoelectric sensor, and acquiring an imaging correction instruction under the condition that the sensing time interval of the first security inspection article and a second security inspection article exceeds a first time threshold; the first security inspection article is an article subjected to security inspection, the second security inspection article is an article which is not subjected to security inspection, and the first security inspection article is adjacent to the second security inspection article.
In one embodiment, the apparatus further comprises: a determining module 505, configured to determine a transmission distance between the photoelectric sensor and the intelligent security check machine; a determining module 505, further configured to determine a transmission speed of the transmission device; wherein, the conveying device is used for conveying the security inspection articles; the determining module 505 is further configured to determine theoretical time for conveying the security inspection article to the intelligent security inspection machine according to the conveying speed and the conveying distance; the determining module 505 is further configured to determine the first time threshold according to the theoretical time, so that the first time threshold is not less than the theoretical time.
In one embodiment, the indication module 503 includes: and when the full scale value images meeting the preset number are determined to be acquired, indicating the intelligent security check machine to close the ray signal.
In one embodiment, the calibration module 504 includes: and under the condition of indicating the intelligent security inspection machine to close the ray signal, carrying out average processing on all the full scale values in the full scale value image to obtain a corrected full scale value.
In one embodiment, the calibration module 504 includes: and under the condition of indicating the intelligent security inspection machine to turn on the ray signal, carrying out average processing on all dark currents in the dark current image to obtain corrected dark currents.
In one embodiment, the calibration module 504 includes: when the induction time interval of the adjacent security inspection articles does not exceed a second time threshold, imaging the second security inspection article according to the initial full value and the initial dark current to obtain a first security inspection image; and updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value so as to perform image correction on the subsequent security check article through the corrected dark current and the corrected full scale value.
In an embodiment, the determining module 505 is further configured to determine an interval between the second security check item and the subsequent security check item; the determining module 505 is further configured to determine a correction time of the correction dark current and the correction full-scale value to the intelligent security check machine; the correcting module 504 is further configured to perform image correction on the subsequent security inspection item through correcting the dark current and the correction full-scale value when the interval time is not less than the third time threshold.
A third aspect of the embodiments of the present application provides a computer-readable storage medium, where the storage medium includes a set of computer-executable instructions, and when the instructions are executed, the storage medium is configured to perform the imaging processing method of the intelligent security check machine according to any one of the foregoing implementable embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (13)

1. An imaging processing method of an intelligent security check machine is characterized by comprising the following steps:
when no security inspection article exists in the designated range corresponding to the intelligent security inspection machine, acquiring an imaging correction instruction;
acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction;
instructing the intelligent security inspection machine to close a ray signal, and determining a corrected full scale value according to the full scale value image;
collecting a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine does not have a ray signal;
determining a corrected dark current according to the dark current image, and correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value;
the determining and correcting dark current according to the dark current image, and correcting the intelligent security inspection machine according to the corrected dark current and the corrected full scale value, comprises:
acquiring the induction time interval of adjacent security inspection articles, and carrying out imaging processing on the second security inspection article according to the initial full value and the initial dark current under the condition that the induction time interval of the adjacent security inspection articles does not exceed a second time threshold value to acquire a first security inspection image;
determining a corrected dark current according to the dark current image, and updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value so as to perform image correction on subsequent security inspection articles through the corrected dark current and the corrected full scale value;
wherein the second security inspection article is an article that has not been subjected to security inspection.
2. The imaging processing method of the intelligent security check machine according to claim 1, wherein the obtaining of the imaging correction instruction when no security check article exists in the specified range corresponding to the intelligent security check machine comprises:
sensing at least a first security inspection article through a photoelectric sensor, and acquiring an imaging correction instruction under the condition that the sensing time interval of the first security inspection article and a second security inspection article exceeds a first time threshold;
the first security inspection article is an article subjected to security inspection, and the first security inspection article is adjacent to the second security inspection article.
3. The imaging processing method of the intelligent security check machine according to claim 2, further comprising:
determining a transfer distance between the photoelectric sensor and the intelligent security check machine;
determining a conveying speed of a conveying device; wherein, the conveying device is used for conveying the security check article;
determining theoretical time for conveying the security check articles to the intelligent security check machine according to the conveying speed and the conveying distance;
and determining the first time threshold according to the theoretical time so that the first time threshold is not less than the theoretical time.
4. The imaging processing method of the intelligent security check machine according to claim 1, wherein the instructing the intelligent security check machine to turn off a ray signal comprises:
and when the full scale value images meeting the preset number are determined to be acquired, indicating the intelligent security check machine to close the ray signal.
5. The imaging processing method of the intelligent security check machine according to claim 1, wherein the determining a corrected fullness value from the fullness value image comprises:
and under the condition that the intelligent security inspection machine closes the ray signal, carrying out average processing on all the full scale values in the full scale value image to obtain a corrected full scale value.
6. The imaging processing method of an intelligent security check machine according to claim 1, wherein said determining a corrected dark current from the dark current image comprises:
and under the condition that the intelligent security inspection machine is enabled to turn on the ray signal, averaging all dark currents in the dark current image to obtain corrected dark currents.
7. The imaging processing method of the intelligent security check machine according to claim 1, further comprising:
determining the interval time between the second security check item and the subsequent security check item;
determining the correction time of the intelligent security check machine by the correction dark current and the correction full value;
and under the condition that the interval time is not less than a third time threshold, carrying out image correction on the subsequent security inspection articles through the corrected dark current and the corrected full scale value.
8. The imaging processing method of the intelligent security check machine according to claim 2, further comprising:
determining a first time required for acquiring a fullness value image;
determining a second time required for acquiring a dark current image;
determining a third time required to turn off the ray signal;
determining a fourth time required to turn on the ray signal;
and integrating the first time, the second time, the third time and the fourth time to obtain a first time threshold value.
9. The imaging processing method of the intelligent security check machine according to claim 2, wherein the acquiring of the fullness value image corresponding to the intelligent security check machine according to the imaging correction instruction comprises:
acquiring a fullness value image corresponding to the intelligent security inspection machine when the sensing time interval between the first security inspection article and the second security inspection article does not exceed a first time threshold and meets the first time;
and under the condition of acquiring and obtaining a full scale value image, imaging the second security inspection article according to an initial full scale value and the initial dark current, and determining the corrected full scale value according to the full scale value image.
10. The imaging processing method of the intelligent security check machine according to claim 9, wherein the instructing the intelligent security check machine to turn off a ray signal comprises:
collecting a dark current image corresponding to the intelligent security inspection machine under the condition that the induction time interval of adjacent security inspection articles does not exceed a first time threshold and the integration of the second time, the third time and the fourth time is met;
and under the condition of acquiring and obtaining the dark current image, imaging the next security inspection article according to the initial full scale value and the initial dark current, and determining and correcting the dark current according to the dark current image.
11. The imaging processing method of the intelligent security check machine according to claim 10, wherein the correcting the intelligent security check machine according to the corrected dark current and the corrected full scale value comprises:
determining a fifth time required for correcting the intelligent security check machine;
when the induction time interval of adjacent security inspection articles exceeds the fifth time, correcting the intelligent security inspection machine according to the corrected dark current and the corrected full scale value;
and imaging the next security inspection article according to the corrected full scale value and the corrected dark current.
12. An imaging processing apparatus of an intelligent security check machine, the apparatus comprising:
the acquisition module is used for acquiring an imaging correction instruction under the condition that no security inspection article exists in the specified range corresponding to the intelligent security inspection machine;
the acquisition module is used for acquiring a full scale value image corresponding to the intelligent security check machine according to the imaging correction instruction;
the indicating module is used for indicating the intelligent security inspection machine to turn on and turn off ray signals, sending a signal for acquiring a full scale image, sending a signal for acquiring a dark current image, sending a signal for determining a corrected full scale according to the full scale image, and sending a signal for determining a corrected dark current according to the dark current image;
the acquisition module is further used for acquiring a dark current image corresponding to the intelligent security check machine under the condition that the intelligent security check machine is determined to have no ray signal;
the correction module is used for determining a corrected full scale value according to the full scale value image, determining a corrected dark current according to the dark current image, and correcting the intelligent security inspection machine according to the corrected dark current and the corrected full scale value;
wherein the correction module comprises:
acquiring the induction time interval of adjacent security inspection articles, and carrying out imaging processing on the second security inspection article according to the initial full value and the initial dark current under the condition that the induction time interval of the adjacent security inspection articles does not exceed a second time threshold value to acquire a first security inspection image;
determining a corrected dark current according to the dark current image, and updating the initial dark current and the initial full scale value according to the corrected dark current and the corrected full scale value so as to perform image correction on subsequent security inspection articles through the corrected dark current and the corrected full scale value;
wherein the second security inspection article is an article that has not been subjected to security inspection.
13. A computer-readable storage medium comprising a set of computer-executable instructions that, when executed, perform the imaging processing method of the intelligent security check machine of any of claims 1-11.
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