CN103744120A - Method and device for assisting identification of contraband - Google Patents
Method and device for assisting identification of contraband Download PDFInfo
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- CN103744120A CN103744120A CN201310738829.7A CN201310738829A CN103744120A CN 103744120 A CN103744120 A CN 103744120A CN 201310738829 A CN201310738829 A CN 201310738829A CN 103744120 A CN103744120 A CN 103744120A
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000007781 pre-processing Methods 0.000 claims abstract 4
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- 241001465754 Metazoa Species 0.000 abstract description 8
- 229920003023 plastic Polymers 0.000 abstract description 5
- 239000004033 plastic Substances 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 4
- 239000000919 ceramic Substances 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 238000012850 discrimination method Methods 0.000 description 5
- 238000003384 imaging method Methods 0.000 description 5
- 238000013507 mapping Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000010146 3D printing Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000001678 irradiating effect Effects 0.000 description 1
- 150000002605 large molecules Chemical class 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Abstract
The invention relates to the technical field of X-ray detection, in particular to a method and a device for assisting identification of contraband. The method comprises the steps of obtaining an X-ray image signal of an X-ray machine by using an X-ray machine image obtaining module, carrying out image preprocessing on the obtained X-ray image signal, identifying an article displayed in the X-ray image according to the characteristics of the shape, chromaticity, image texture and the like of the article displayed in the preprocessed X-ray image, and finally sending an identification result of the contraband and/or a visible light image signal to a contraband display module in a wireless mode for displaying, so that the effect of effectively identifying specific types of animals and plants, plastics and ceramic products by using the X-ray image is achieved.
Description
Technical field
The present invention relates to X-ray check technical field, be specifically related to the auxiliary discrimination method of a kind of contraband goods and device.
Background technology
Traditional X-ray optical detection device and detection method: its principle is the absorptivity to ray, reflectivity difference according to various article, and according to the difference of atomic number and article density, X-ray can be to article imaging.
Existing X-ray imaging technique is more clear to the imaging of large molecule inorganics, and as to metal, pottery waits the imaging of article, but to organism, as the imaging definition of the goods such as fruit, animals and plants, plastics is not reached to accurate identification requirement.
Import and export at present inspection and quarantine department, when case and bag, the mail imported and exported are tested to detection, use artificial sense to judge the image of X-ray machine.X-ray machine self can, according to by the atomic number of X-ray irradiating item with electron radiation and density, article being reported to the police, only be confined to the high-risk articles such as cutter, firearms, explosive but report to the police, and for not allowing, the animals and plants of immigration are helpless.While using artificial sense according to x-ray image, violated animals and plants article to be judged, if detected animals and plants article, by computer, when clothing or other article block, are used artificial sense to be difficult to effectively differentiate these article.In addition, along with the development of 3D printing technique, plastics 3D prints weapon and cannot effectively be identified by existing X-ray machine, and artificial sense is also difficult to it to identify, when especially these article are covered by other article.For the problems referred to above, also there is no at present good solution, in addition, at present inspection and quarantine when using X-ray machine to test quarantine to hand baggage, use be the X-ray machine of fixed mask, even if find that there is prohibited items, also cannot effectively tackle.At present, there is no effective ways tackles the case and bag that carry animals and plants contraband goods.
Summary of the invention
(1) technical matters that will solve
The object of the present invention is to provide one can use x-ray image to animals and plants and plastics, ceramic effectively reflect method for distinguishing and device accordingly.
(2) technical scheme
Technical solution of the present invention is as follows:
The auxiliary discrimination method of a kind of contraband goods, comprises the following steps:
S1. obtain the x-ray image signal of X-ray machine;
S2. obtain after described x-ray image signal, described x-ray image signal is converted to x-ray image, described x-ray image is carried out to image pre-service;
S3. according to article morphological feature shown in described pretreated x-ray image, article shown in described x-ray image are differentiated;
S4. sending the data of the identification result of described contraband goods to terminal shows.
Preferably, the method for obtaining described X-ray machine x-ray image signal in described step S1 is to obtain X-ray machine and be transferred to the vision signal that has X-ray machine display screen.
Preferably, describedly x-ray image carried out to the pretreated method of image be:
First truncated picture is prestored;
Then the image interception prestoring is become to each single frames picture;
Noise remove;
Then each single frames picture is analyzed, picked out the picture that sharpness is the highest;
Finally article shown in the highest picture of sharpness are carried out to adumbration intensification.
Preferably, the mirror method for distinguishing that in described step S3, article morphological feature shown in x-ray image is carried out to contraband goods is, according to the profile in article morphological feature, size, GTG, colourity, image texture, environment of living in and between correlationship carry out the discriminating of article.
Preferably, use in recognizer, broad sense HOUGH mapping algorithm, SURF algorithm, LBP algorithm and the recognizer based on feature code book based on HAAR feature any one or wherein the combination of any particular algorithms carry out the discriminating of article.
Preferably, the method that image recognition is carried out in the combination of described any particular algorithms is to combine identification according to the weighted value of the combination of described each algorithm and/or each algorithm.
Preferably, when using recognizer based on HAAR feature, broad sense HOUGH mapping algorithm, SURF algorithm, LBP algorithm and the recognizer based on feature code book, the weighted value ratio of each algorithm is 1:2:1.5:3:2.5 simultaneously.
Preferably, in described step S4, the data of the identification result of described contraband goods are sent to the method that terminal shows and be, use wired and/or wireless transmission method that signal is transferred to terminal and show.
Preferably, the method for described step S4, the visible images of the article that also to comprise described differentiation be contraband goods transfers to terminal and shows.
A device for row postal aid identification and contrast, comprises X-ray machine, and the device of described row postal aid identification and contrast comprises:
X-ray machine image collection module, for obtaining the x-ray image signal of described X-ray machine;
The automatic identification module of X-ray machine image, be used for obtaining after described x-ray image signal, described x-ray image signal is converted to x-ray image, described x-ray image is carried out to image pre-service, and carry out the discriminating of article according to article morphological feature shown in pretreated x-ray image;
Contraband goods display module, for showing the data of identification result of described article;
Wherein X-ray machine image collection module is obtained image from described X-ray machine, described X-ray machine image collection module is sent to the automatic identification module of X-ray machine image by obtained picture signal, and the automatic identification module of X-ray machine image is sent to contraband goods display module by identification result signal.
Preferably, also comprise data wireless delivery module, for using wireless mode to be sent to contraband goods display module the identification result of the automatic identification module of X-ray machine image and/or visible image signal.
Preferably, described display device is display and/or mobile terminal.
Preferably, also comprise visible image taking module, for the corresponding article visible images of X-ray machine image of taking and differentiated.
(3) beneficial effect
The present invention is by using X-ray machine image collection module to obtain x-ray image signal, and will obtain described x-ray image signal and carry out image pre-service, then according to article morphological feature shown in pretreated x-ray image, the article that x-ray image is shown are differentiated, finally use wireless mode to be sent to contraband goods display module data the identification result of described contraband goods and/or visible image signal and send the method that terminal shows to, reached and used x-ray image to carry out the effect of effectively differentiating to particular types animals and plants and plastics, ceramic.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the auxiliary discrimination method of a kind of contraband goods;
Fig. 2 is the structural representation of the auxiliary identification device of a kind of contraband goods.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described further.Following examples are only for the present invention is described, but are not used for limiting the scope of the invention.
Embodiment
Process flow diagram with the auxiliary discrimination method of a kind of contraband goods shown in Fig. 1 in the present embodiment describes in conjunction with the structural representation of the auxiliary identification device of a kind of contraband goods shown in Fig. 2.
First, use X-ray machine image collection module to obtain the x-ray image signal of X-ray machine, the i.e. vision signal of X-ray machine.Concrete grammar is the vision signal that intercepts X-ray machine and be transferred to existing X-ray machine display screen, by VGA interface directly by X-ray machine image signal transmission to X-ray machine image collection module.
Obtaining after described x-ray image signal, using the automatic identification module of X-ray machine image to differentiate obtained x-ray image.
First the x-ray image obtaining is carried out to pre-service, pretreated method is:
The first step, truncated picture is prestored, and pre-storage method can be that the image obtaining is stored among hard disk, also the image obtaining can be stored in ROM (read-only memory), because truncated picture is continuous image, therefore need more memory storage space;
Second step, becomes each single frames picture by the image interception prestoring, and the continuous image that is about to storage is converted to individual picture of corresponding frame number according to its image frame number per second, also can on request image interception be become to specific a few width single frames picture;
The 3rd step, removes picture noise;
The 4th step, analyzes each single frames picture, finds out the picture that sharpness is the highest;
Final step, carries out adumbration intensification to article shown in the highest picture of sharpness.
The x-ray image obtaining was carried out after pre-service, according to article morphological feature shown in x-ray image, article shown in x-ray image were differentiated.
The concrete grammar that article morphological feature shown in x-ray image is carried out to the discriminating of contraband goods is, according to the profile in article morphological feature, size, GTG, colourity, image texture, environment of living in and between correlationship carry out the discriminating of contraband goods.
Concrete, image recognition is carried out in any one in recognizer, broad sense HOUGH mapping algorithm, SURF algorithm, LBP algorithm and the recognizer based on feature code book of use based on HAAR feature or the wherein combination of any particular algorithms.
Above-mentioned 5 kinds of algorithms having listed, the various identification that can complete article, but the emphasis of each algorithm is different, so can, arbitrarily in conjunction with above several algorithms, then combine identification according to the weighted value of the combination of each algorithm and/or each algorithm.
When use recognizer based on HAAR feature, broad sense HOUGH mapping algorithm, SURF algorithm, LBP algorithm and during based on 5 kinds of recognizers such as feature code books, the weighted value ratio of each algorithm is 1:2:1.5:3:2.5 simultaneously.
Article are carried out after image recognition, can be according to the contraband goods image in database, contrast profile between them, size, GTG, colourity, image texture, environment of living in and between correlationship carry out the discriminating of contraband goods, thereby judge whether the article in x-ray image are contraband goods, and the kind of contraband goods.
Contraband goods display module is for showing visible ray picture and other relevant information of X-ray picture and contraband goods.The concrete identification result of contraband goods, shows as the data such as classified information, information send terminal to, also can show the visible images of the contraband goods of being taken by visible image taking module simultaneously.In the transmitting procedure of image, can use wired and/or wireless transmission method that signal is transferred to terminal and show.
Terminal can be that computer display screen can be also the palm terminals such as panel computer, smart mobile phone.
The auxiliary identification device of contraband goods also comprises visible image taking module, this module is arranged on the entrance front end at described X-ray machine top, also can be arranged on the exit at described X-ray machine top, or be placed on described X-ray machine entrance front end and/or rear end, keep certain distance with described X-ray machine, this distance is not more than 2 meters.This module is for taking the article visible images corresponding with the X-ray machine image of being differentiated.When terminal device can show simultaneously, differentiated the X light image of article and with it during corresponding visible images, can be improved the efficiency of interception contraband goods.
Above embodiment is only for illustrating the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification, therefore all technical schemes that are equal to also belong to protection category of the present invention.
Claims (13)
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| CN201310738829.7A CN103744120A (en) | 2013-12-30 | 2013-12-30 | Method and device for assisting identification of contraband |
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Cited By (12)
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| CN104406997A (en) * | 2014-05-31 | 2015-03-11 | 福州大学 | Printing material and structure detection device of 3D printer and method thereof |
| CN105117693A (en) * | 2015-08-12 | 2015-12-02 | 杜宪利 | Video detection method based on optical identification |
| CN105116461A (en) * | 2015-06-30 | 2015-12-02 | 中云智慧（北京）科技有限公司 | Intelligent identification system and identification method |
| CN105372712A (en) * | 2014-09-02 | 2016-03-02 | 清华大学 | Vehicle inspection method and system |
| CN106295668A (en) * | 2015-05-29 | 2017-01-04 | 中云智慧（北京）科技有限公司 | Robust gun detection method |
| WO2017101514A1 (en) * | 2015-12-16 | 2017-06-22 | 清华大学 | Method, system and apparatus for checking cargoes |
| CN107576990A (en) * | 2016-07-05 | 2018-01-12 | 中云智慧（北京）科技有限公司 | Public place security inspection system and security inspection method |
| WO2019096181A1 (en) * | 2017-11-14 | 2019-05-23 | 深圳码隆科技有限公司 | Detection method, apparatus and system for security inspection, and electronic device |
| CN110794466A (en) * | 2019-07-16 | 2020-02-14 | 中云智慧（北京）科技有限公司 | Auxiliary device and processing method for X-ray image acquisition |
| CN110940657A (en) * | 2019-12-12 | 2020-03-31 | 北京大学 | A detection system for spectral detection of measured objects |
| CN111612020A (en) * | 2019-02-22 | 2020-09-01 | 杭州海康威视数字技术股份有限公司 | Abnormal detected object positioning method and security check analysis equipment and system |
| CN112034523A (en) * | 2020-08-17 | 2020-12-04 | 长沙理工大学 | Hazardous chemical substance detection method and detection system |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406997A (en) * | 2014-05-31 | 2015-03-11 | 福州大学 | Printing material and structure detection device of 3D printer and method thereof |
| US10162077B2 (en) | 2014-09-02 | 2018-12-25 | Tsinghua University | Methods and systems for inspecting a vehicle |
| CN105372712A (en) * | 2014-09-02 | 2016-03-02 | 清华大学 | Vehicle inspection method and system |
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| CN105372712B (en) * | 2014-09-02 | 2017-12-12 | 清华大学 | Vehicle inspection method and system |
| CN106295668A (en) * | 2015-05-29 | 2017-01-04 | 中云智慧（北京）科技有限公司 | Robust gun detection method |
| CN105116461A (en) * | 2015-06-30 | 2015-12-02 | 中云智慧（北京）科技有限公司 | Intelligent identification system and identification method |
| CN105117693A (en) * | 2015-08-12 | 2015-12-02 | 杜宪利 | Video detection method based on optical identification |
| WO2017101514A1 (en) * | 2015-12-16 | 2017-06-22 | 清华大学 | Method, system and apparatus for checking cargoes |
| CN107576990A (en) * | 2016-07-05 | 2018-01-12 | 中云智慧（北京）科技有限公司 | Public place security inspection system and security inspection method |
| WO2019096181A1 (en) * | 2017-11-14 | 2019-05-23 | 深圳码隆科技有限公司 | Detection method, apparatus and system for security inspection, and electronic device |
| CN111612020A (en) * | 2019-02-22 | 2020-09-01 | 杭州海康威视数字技术股份有限公司 | Abnormal detected object positioning method and security check analysis equipment and system |
| CN111612020B (en) * | 2019-02-22 | 2024-04-26 | 杭州海康威视数字技术股份有限公司 | Positioning method for abnormal object to be detected, security inspection analysis equipment and security inspection analysis system |
| CN110794466A (en) * | 2019-07-16 | 2020-02-14 | 中云智慧（北京）科技有限公司 | Auxiliary device and processing method for X-ray image acquisition |
| CN110940657A (en) * | 2019-12-12 | 2020-03-31 | 北京大学 | A detection system for spectral detection of measured objects |
| CN112034523A (en) * | 2020-08-17 | 2020-12-04 | 长沙理工大学 | Hazardous chemical substance detection method and detection system |
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