CN103926199B - Hazardous material detection method - Google Patents

Hazardous material detection method Download PDF

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CN103926199B
CN103926199B CN201410152891.2A CN201410152891A CN103926199B CN 103926199 B CN103926199 B CN 103926199B CN 201410152891 A CN201410152891 A CN 201410152891A CN 103926199 B CN103926199 B CN 103926199B
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image
terahertz
rgb format
gray level
raw rgb
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CN103926199A (en
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黄晓鹏
王彬
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Abstract

The invention discloses a kind of hazardous material detection device and detection method, described hazardous material detection device includes visible light image sensor, terahertz imaging system, processor, image storage and display;This hazardous material detection device is after the Terahertz image of visible light image sensor and the visible images of terahertz imaging system acquisition raw RGB format and raw RGB format, image is processed and shows by described processor, and personnel's normal pass, detection i.e. can be realized without stopping, thus improve detection efficiency, bigger Pedestrian flow detection, large range of detection can be met and multiple target is detected simultaneously.

Description

Hazardous material detection method
Technical field
The present invention relates to a kind of article detection device and detection method, particularly relate to a kind of hazardous material detection device And detection method.
Background technology
Current all kinds of insurgent violence event emerges in an endless stream, and cutter injury case and public place violence are held in such as campus Attack of terrorism cases etc., these cases seriously threaten the lives and properties peace of the stable of society and the people Entirely.In order to avoid occurring again of this kind of case, country put in terms of security substantial amounts of human and material resources and Financial resources, but produce little effect.
The dangerous article detection system used at present is formula detecting system (stand-by) of stopping, and such as metal is visited Surveying device and X ray tester etc., this type of system typically requires Security Personnel and detects a suspect one by one, When flow of the people is excessive, or need detection in a big way, or when multiple target being detected, such system. simultaneously Owing to detecting the inefficiency of dangerous materials, above-mentioned requirements just cannot be met.
THz wave refers to that frequency range is at 0.1THz to 10THz (1THz=1012Hz) interval electromagnetism Ripple, between microwave and terahertz light.THz wave has a lot of unique advantage, such as THz wave Photon energy far below the one thousandth of visible ray and X-ray, only visible ray, the million of X-ray / mono-, minimum to harm;THz wave wavelength is longer, and the wavelength of the electromagnetic wave of 1THz is 300 μ M, is used for being affected little by material scattering when measuring detection;In addition THz wave is to a lot of opaque mediums Material, has the strongest penetrance such as plastics, pottery, leather etc.;THz wave has for non-metallic objectsit is not a metal object There is good identification ability.These features make THz imaging technology have wide in safety detection monitoring field Application prospect, especially for hiding nonmetal dangerous materials detection and monitoring (such as explosive etc.), with And the follow-up tera-hertz spectra that utilizes carries out Matter Composition discriminating.
Visible images has a high-resolution feature, but the information of None-identified hidden objects, the most also Just cannot be individually used for the detection of dangerous materials.Inhale owing to a lot of organic molecules have feature in Terahertz frequency range Receive and dispersion so that can effectively identify organic material information by tera-hertz spectra.It addition, Terahertz Radiation has the strongest penetration power for the most nonmetal and polar substances, thus in detection of concealed metal object Product, explosive and explosive analysis of components aspect have the advantage of uniqueness.Can furthermore it is also possible to utilize See the high-resolution advantage of light image, by information fusion such as the shape of dangerous materials, size and locations at visible ray In image, and do not change the color information of original visible images, thus fundamentally change can only be by Dangerous materials information shows in x-ray image, infrared image or the microwave and millimeter wave image of low resolution The traditional method of single-sensor.
YIQ (luminance, chrominance) color space form, its representative image brightness (luminance) part with representative image color (chrominance) information is independent;Namely Say, can't the color of the original image of this change when the monochrome information of image individually being extracted and it being processed Multimedia message;Vice versa.Just because of this feature of YIQ color space form, for solving effectively The technical problem of detection dangerous materials is possibly realized.
Summary of the invention
First purpose of the present invention is to provide a kind of hazardous material detection device that can effectively detect dangerous goods. Second object of the present invention is to provide a kind of hazardous material detection method that can effectively detect dangerous goods.
The present invention solves first technical problem and adopts the following technical scheme that a kind of hazardous material detection device, bag Include visible light image sensor, terahertz imaging system, processor, image storage and display;
Described visible light image sensor signal is connected to described processor, comprises described dangerous materials to gather The visible images of detected object, and by the transmission of described visible images to described processor;
Described terahertz imaging system signal is connected to described processor, to gather the quilt comprising described dangerous materials The Terahertz image of detection object, and by described Terahertz image transmitting to described processor;
Described visible images and Terahertz image are processed by described processor, visible after being processed Terahertz image after light image and process;
Described image storage signal is connected to described processor, to store the visible images after described process With the Terahertz image after process;
Described monitor signal is connected to described processor, to show the image after described process.
Optionally, described image storage and/or display are by WIFI wireless data transfer module, bluetooth Wireless data transfer module or Zigbee wireless data transfer module are connected to described processor.
The present invention solves second technical problem and adopts the following technical scheme that one utilizes described hazardous material detection The method of device detection dangerous materials, comprises the following steps:
S10, utilize described visible light image sensor and the terahertz imaging system quilt to comprising described dangerous materials Detection object carries out image acquisition, respectively obtains visible images and the raw RGB format of raw RGB format Terahertz image;
S20, the visible images of raw RGB format is converted to the visible images of YIQ form;
S30, generate visible ray gray level image according to the visible images of described YIQ form;
S40, the Terahertz image of raw RGB format is converted into Terahertz gray level image;
S50, described Terahertz gray level image is carried out pixel value reversion, the Terahertz gray-scale map after being inverted Picture;
S60, by described visible ray gray level image, Terahertz gray level image and reversion after Terahertz gray level image Carry out image co-registration, the image after being merged;
S70, by after described fusion image generate YIQ form fusion image;
S80, the fusion image of described YIQ form is converted to the fusion image of rgb format;
S90, the fusion image of described rgb format is shown on the display.
Optionally, after described step S10, before step S20, also include step S15:
S15, the visible images of raw RGB format and the Terahertz image of raw RGB format are calibrated Process and hardwood synchronization process so that the visible images of described raw RGB format and described raw RGB format The pixel of Terahertz image and content matching.
Optionally, described step S80 and S90 are replaced with:
S100, the Terahertz image of raw RGB format is converted into the Terahertz image of YIQ form;
S110, the fusion image of YIQ form and the Terahertz image of YIQ form are carried out image co-registration, To final fusion image;
S120, described final fusion image is converted into final gray level image;
S130, final gray level image is carried out binary conversion treatment, obtain binaryzation gray level image;
S140, by the visible ray of the white portion in described binaryzation gray level image Yu described raw RGB format Image co-registration, and obtain image to be output;
S150, product information the most dangerous in described binaryzation gray level image is judged;
S160, when, in step S150, not finding dangerous materials, by the visible images of raw RGB format in institute State and show on display;
S170, when in step S150, find dangerous materials, by described image to be output on the display Display.
Optionally, described step S130 specifically includes following steps:
S1301, setting threshold value;
S1302, will be greater than being set to 1 equal to the value of the pixel of described threshold value;
S1303, the value of the pixel less than described threshold value is set to 0 obtains binaryzation gray level image.
Optionally, described step S140 specifically includes following steps:
S1401, the image after binaryzation is carried out three-dimensional expansion;
S1402, the pixel that value is 1 of described pixel is replaced same position raw RGB format can See the pixel of light image, and the pixel of the visible images by the raw RGB format of described same position Value be set to (1,1,1).
Optionally, the algorithm of the image co-registration in described step S60 is: linearity blending algorithm or based on The Image Fusion of wavelet transform.
There is advantages that
The hazardous material detection device of the present invention includes visible light image sensor, terahertz imaging system and process Device, the visible images of the raw RGB format that described visible light image sensor is gathered is transferred to process Device, the Terahertz image transmitting of the raw RGB format that described terahertz imaging system is gathered to processor, The visible images of described raw RGB format and the Terahertz image of raw RGB format are entered by described processor Row processes and merges, and exports the image after described process and fusion by described display, to make full use of The definition of the visible images of described raw RGB format and the Terahertz image of raw RGB format are to described The sensitivity of the molecular structure of dangerous materials, it is achieved the detection (such as gun, controlled knife) to described dangerous materials, This hazardous material detection device is gathering visible images and the Terahertz of raw RGB format of raw RGB format After image, personnel's normal pass, it is not necessary to stop and i.e. can realize detection, thus improve detection efficiency, energy Meet bigger Pedestrian flow detection, large range of detection and multiple target detected simultaneously.
The hazardous material detection method of the present invention is owing to have employed above-mentioned hazardous material detection device, and by by described The visible images of the raw RGB format that visible light image sensor is gathered is converted into the visible of YIQ form Light image, the Terahertz image of the raw RGB format described terahertz imaging system gathered is converted into too Terahertz gray level image after hertz gray level image and reversion, visible images, the institute to described YIQ form State the Terahertz gray level image after Terahertz gray level image and described reversion to merge, the image after merging Be converted into the fusion image of rgb format, and output on the display (display include instinct show with Mobile display), to facilitate staff to judge whether dangerous materials according to the image that described display is shown And carry the people of dangerous materials, it is seen that this detection method i.e. can realize detection without stopping, thus improves Detection efficiency, can meet bigger Pedestrian flow detection, large range of detection and carry out multiple target simultaneously Detection.
Accompanying drawing explanation
Fig. 1 is the structural representation of the hazardous material detection device of the present invention;
Fig. 2 is the structural representation of the terahertz imaging system of the present invention;
Fig. 3 is the flow chart of the hazardous material detection method of the present invention;
Fig. 4 is the flow chart of the hazardous material detection of the binaryzation gray level image of the present invention.
In figure, labelling is illustrated as: 1-visible light image sensor;2-terahertz imaging system;21-optical system; 22-terahertz detector;23-Terahertz controller;24-output interface;3-processor;4-image storage; 5-display.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, technical scheme is further elaborated.
Embodiment 1
With reference to Fig. 1-4, present embodiments provide a kind of hazardous material detection device, sense including visible images Device 1, terahertz imaging system 2, processor 3, image storage 4 and display 5;
Described visible light image sensor 1 signal is connected to described processor 3, comprises described danger to gather The visible images of the detected object of product, and by the transmission of described visible images to described processor;
Described terahertz imaging system 2 signal is connected to described processor 3, comprises described dangerous materials to gather The Terahertz image of detected object, and by described Terahertz image transmitting to described processor 3;
Described visible images and Terahertz image are processed by described processor 3, after being processed can Terahertz image after seeing light image and processing;
Described image storage 4 signal is connected to described processor 3, to store the visible ray after described process Terahertz image after image and process;Wherein said processor 3 is to described visible images and Terahertz figure Method as carrying out processing includes being compressed described visible images and Terahertz image.
Described display 5 signal is connected to described processor 3, to show the image after described process.
The hazardous material detection device of the present invention includes visible light image sensor 1, terahertz imaging system 2 and Processor 3, the visible images of the raw RGB format that described visible light image sensor 1 is gathered passes It is defeated by processor 3, the Terahertz image of the raw RGB format that described terahertz imaging system 2 is gathered Being transferred to processor 3, described processor 3 is to the visible images of described raw RGB format and original RGB The Terahertz image of form processes and merges, and exports described process and fusion by described display 5 After image, to make full use of the definition of the visible images of described raw RGB format and original RGB lattice The Terahertz image of the formula sensitivity to the molecular structure of described dangerous materials, it is achieved the detection to described dangerous materials, This hazardous material detection device is gathering visible images and the Terahertz of raw RGB format of raw RGB format After image, personnel's normal pass, it is not necessary to stop and i.e. can realize detection, thus improve detection efficiency, energy Meet bigger Pedestrian flow detection, large range of detection and multiple target detected simultaneously.
In the present embodiment, optionally, described terahertz imaging system 2 is Terahertz imageing sensor, with logical Cross described Terahertz imageing sensor and obtain the Terahertz image of detected article.
In the present embodiment, optionally, described terahertz imaging system 2 includes that optical system 21, Terahertz are visited Survey device 22, Terahertz controller 23 and output interface 24;Described optical system 21 is launched described Terahertz and is visited Survey the THz wave of the consistent wavelength that device can receive, and be used for irradiating detected object;Terahertz detection Device 22 signal is connected to described Terahertz controller 23, and described Terahertz controller 23 is connect by described output Mouth 24 is connected to described processor 3, with by described terahertz detector 22 returning described THz wave Ripple is converted to the signal of telecommunication, and described terahertz detector 22 detects the described signal of telecommunication, and transmitted by the described signal of telecommunication To described Terahertz controller 23, the described signal of telecommunication is processed by described Terahertz controller 23, obtains Described Terahertz image, and by output interface 24 by described Terahertz image transmitting to described processor 3; Terahertz detector 22 is used to the light of the consistent wavelength that detection optical system sends, and presents Terahertz figure Picture.One Main Function of Terahertz controller 23 is reception wavelength and the reception of regulation terahertz detector The important parameters such as power, to guarantee that terahertz detector 22 mates work, output interface with optical system 21 24 are used for exporting presented Terahertz image.
In the present embodiment, optionally, described optical system 21 is the optical chopper of SDC-500 for model.
In the present embodiment, optionally, described terahertz imaging system 2 also includes that being installed on described Terahertz visits Survey the optical lens of device 22 front end, to determine the important optical parametric of terahertz imaging system, such as focal length, The angle of visual field, effective detection range etc..
In the present embodiment, optionally, described display is the display of mobile terminal, such as mobile phone or vehicle-mounted Display devices etc., with when described hazardous material detection device is arranged at public place, staff can be Non-at-scene work.
In the present embodiment, optionally, described image storage 4 and/or display 5 are by the wireless number of WIFI It is connected to described place according to transport module, Bluetooth wireless data transport module or Zigbee wireless data transfer module Reason device, described image storage 4 and/or display 5 to be placed on different positions, thus convenient work Described display is monitored by personnel.
In the present embodiment, optionally, described image storage 4 includes local storage and/or cloud storage terminal, To realize described visible images and the storage of Terahertz image.
In the present embodiment, optionally, described processor 3 is FPGA, FMC or arm processor, and described Hazardous material detection device also includes that alarm device, described alarm device signal are connected to described processor 3, with When described terahertz imaging system 2 detects dangerous materials, report to the police.
In the present embodiment, optionally, described dangerous materials include that gun, controlled knife etc. are different from human body temperature Object, also include the Organic substance such as latent explosive, drugs.To give full play to described terahertz imaging system Characteristic, to divide human body and described dangerous materials in described Terahertz image intermediate energy region.
In the present embodiment, optionally, described visible light sensor for having near-infrared function visible light sensor, The hazardous material detection device making the present invention still can photograph high-resolution visible images at night, And by by the hidden dangerous goods information fusion in Terahertz image to night vision image, so that these dangerous materials Detection device adapts to the occasion of insufficient light.
Embodiment 2
With reference to Fig. 1-4, present embodiments provide a kind of described hazardous material detection device detection dangerous materials of utilizing Method, comprises the following steps:
S10, utilize described visible light image sensor 1 and terahertz imaging system 2 to comprising described dangerous materials Detected object carry out image acquisition, respectively obtain the visible images of raw RGB format and original RGB The Terahertz image of form;To capture real-time coloured image by described visible light image sensor 1, i.e. Obtain the visible images of raw RGB format;Described terahertz imaging system 2 captures real-time coloured image, I.e. obtain the Terahertz image of raw RGB format;And the resolution of described visible light image sensor 1 is institute State 2-4 times of resolution of terahertz imaging system 2, the visible images of the most described raw RGB format Resolution be described raw RGB format 2-4 times of Terahertz image resolution ratio, to facilitate follow-up figure As calibration processes with image co-registration;
S20, the visible images of raw RGB format is converted to the visible images of YIQ form;By from RGB to YIQ colour space transformation, believes the color information of the visible images of raw RGB format with brightness Breath separates, and merges for successive image and prepares, and in the visible images of the YIQ form in the present invention, generation Table brightness of image (luminance) is independent with the part of representative image color (chrominance), I.e. when the monochrome information of image individually being extracted and it being processed, can't the color of the original image of this change Multimedia message;Vice versa.Just because of this feature of image of YIQ form, when by detected dangerous materials Material information (information by entrained by the Terahertz image of described raw RGB format) is loaded into original RGB In the visible images of form, do not change other any information, such as color of original visible images; To improve the effect of described hazardous material detection method;
S30, generate visible ray gray level image according to the visible images of described YIQ form;This step is by YIQ Monochrome information (luminance) in the visible images of form individually extracts, and generates one-dimensional visible Light gray level image;Monochrome information in the visible images of YIQ form will individually extract, and generate Corresponding gray level image;To facilitate follow-up image co-registration to process;
S40, the Terahertz image of raw RGB format is converted into Terahertz gray level image;Follow-up to facilitate Image co-registration processes;
S50, described Terahertz gray level image is carried out pixel value reversion, the Terahertz gray-scale map after being inverted Picture;With by the gray level image after described reversion being merged the image after described fusion, after regulation is merged The brightness of image, prevents the image after merging from crossing bright or the darkest, makes the image after fusion and visible ray as far as possible Gray level image keeps consistent;
S60, by described visible ray gray level image, Terahertz gray level image and reversion after Terahertz gray level image Carry out image co-registration, the image after being merged;Image after described fusion is one-dimensional gray level image, and Only include new monochrome information;It is highly preferred that described image co-registration process use linearity blending algorithm or Image Fusion based on wavelet transform etc..
S70, by after described fusion image generate YIQ form fusion image;The fusion of described YIQ form Monochrome information in image is new monochrome information, i.e. contains the material information of detected dangerous materials, but also Do not change the color information of the visible images of original rgb format.
S80, the fusion image of described YIQ form is converted to the fusion image of rgb format;
S90, the fusion image of described rgb format is shown on the display;
To realize detection to described dangerous materials by above-mentioned steps, by above-mentioned steps it can be seen that this Bright hazardous material detection method passes through RGB to YIQ colour space transformation, enters the monochrome information of described image Row extracts, and monochrome information i.e. corresponds to the information such as position and the size of dangerous materials, i.e. can pass through this operation Accurately identify dangerous materials and carry the people of dangerous materials, it is seen that this detection method i.e. can realize without stopping Detection, thus improves detection efficiency, can meet bigger Pedestrian flow detection, large range of detection and together Time multiple target is detected.
In the present embodiment, optionally, after described step S10, before step S20, also include step S15:
S15, the visible images of raw RGB format and original Terahertz image are carried out calibration process and hardwood with Step processes so that the visible images of described raw RGB format and the Terahertz figure of described raw RGB format The pixel of picture and content matching;The purpose of described step S15 is to make the visible ray figure of described raw RGB format The Terahertz image content match of picture and raw RGB format, and synchronize to be input to processor 3 and carry out follow-up place Reason, to improve described processor 3 to the visible images of described raw RGB format and described original RGB lattice The treatment effect of the Terahertz image of formula, and the accuracy that the position of dangerous materials is identified.It is highly preferred that The process that image calibration processes can use the image calibration algorithm of maturation, such as based on the image calibration that phase place is relevant Quasi-algorithm, the image calibration of feature based conversion (scale invariant features transform) Algorithm, image calibration algorithm based on edge matching and multi-scale wavelet transformation etc..Hardwood synchronization process is by figure As process hardware carry hardwood synchronization module realize, it is possible to by hardware is programmed realize, such as based on The FPGA hardware programming of VHDL.
In the present embodiment, optionally, described step S80 and S90 are replaced with:
S100, the Terahertz image of raw RGB format is converted into the Terahertz image of YIQ form, for carrying Take described dangerous materials to prepare;
S110, the fusion image of YIQ form and the Terahertz image of YIQ form are carried out image co-registration, To final fusion image, it is highly preferred that described Image Fusion be linearity blending algorithm or based on The Image Fusion etc. of wavelet transform;With the Terahertz image by the YIQ form with material information Merge with the fusion image of YIQ form;
S120, described final fusion image is converted into final gray level image, to facilitate differentiation and to extract The position of described dangerous materials and size;
S130, final gray level image is carried out binary conversion treatment, obtain binaryzation gray level image;
S140, by the visible ray of the white portion in described binaryzation gray level image Yu described raw RGB format Image co-registration, obtains image to be output;Will useful information in described binaryzation gray level image, the most in vain Color part is fused in the visible images of raw RGB format, and ensures that this white portion is at raw RGB format Visible images in size position all do not change;
S150, product information the most dangerous in described binaryzation gray level image is judged;
S160, when, in step S150, not finding dangerous materials, by the visible images of raw RGB format in institute State and show on display 5;
S170, when in step S150, find dangerous materials, by described image to be output at described display 5 Upper display.
To be chosen by intelligent target, the information of dangerous materials is shown in visible images, to described former The colour space transformation of the Terahertz image of beginning rgb format, extracts position and the size etc. of described dangerous materials Information, facilitates staff to decide whether described dangerous materials carrier and processes.
In the present embodiment, optionally, described step S130 specifically includes following steps:
S1301, setting threshold value, for the selection of dangerous materials;
S1302, will be greater than being set to 1 equal to the value of the pixel of described threshold value;
S1303, the value of the pixel less than described threshold value is set to 0, obtains binaryzation gray level image;
So that described final gray level image is carried out binary conversion treatment, add dangerous materials position and size institute is right The contrast of the pixel answered, facilitates staff to differentiate.
In the present embodiment, optionally, described step S150 specifically include following steps:
S1501, when the gray level image after described binaryzation does not exist the pixel that value is 1, then be judged to not Find dangerous materials;
S1502, when in the gray level image after described binaryzation existence value be the pixel of 1, then be judged to find Dangerous materials;To realize the most dangerous product in described binaryzation gray level image are carried out automatic decision.
In the present embodiment, optionally, described detection method also includes step S180;
S180, when in step S150, find dangerous materials, report to the police.
In the present embodiment, optionally, the setting threshold value in described step S1301, could be arranged to 128; Or setting according to concrete application scenario manual debugging, the principle of setting selects suspicious object exactly, with Time get rid of and there is no value information;Certain any system does not all have the intelligence in absolute sense, there is leakage choosing In the case of falsely dropping, the principle of threshold value setting is would rather to falsely drop to leak choosing;Or threshold value setting can also Use the adaptive algorithm of image dualization, such as Back Propagation algorithm.
In the present embodiment, optionally, described step S140 specifically includes following steps:
S1401, the gray level image after binaryzation is carried out three-dimensional expansion;Image information that will be two-dimentional carries out multiple System becomes 3-dimensional.
S1402, the pixel that value is 1 of described pixel is replaced same position raw RGB format can See the pixel of light image, and the pixel of the visible images by the raw RGB format of described same position Value be set to (1,1,1), to show the size and location of described dangerous materials in described image to be output, Staff is facilitated to differentiate.
The sequencing of above example only for ease of describing, does not represent the quality of embodiment.
Last it is noted that above example is only in order to illustrate technical scheme, rather than it is limited System;Although the present invention being described in detail with reference to previous embodiment, those of ordinary skill in the art It is understood that the technical scheme described in foregoing embodiments still can be modified by it, or to it Middle part technical characteristic carries out equivalent;And these amendments or replacement, do not make appropriate technical solution Essence departs from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (4)

1. the method utilizing hazardous material detection device detection dangerous materials, described hazardous material detection device includes Visible light image sensor, terahertz imaging system, processor, image storage and display;
Described visible light image sensor signal is connected to described processor, comprises described dangerous materials to gather The visible images of detected object, and by the transmission of described visible images to described processor;
Described terahertz imaging system signal is connected to described processor, to gather the quilt comprising described dangerous materials The Terahertz image of detection object, and by described Terahertz image transmitting to described processor;
Described visible images and Terahertz image are processed by described processor, visible after being processed Terahertz image after light image and process;
Described image storage signal is connected to described processor, to store the visible images after described process With the Terahertz image after process;
Described monitor signal is connected to described processor, to show the image after described process;
Described image storage and/or display are by WIFI wireless data transfer module, Bluetooth wireless data Transport module or Zigbee wireless data transfer module are connected to described processor;
It is characterized in that, comprise the following steps:
S10, utilize described visible light image sensor and the terahertz imaging system quilt to comprising described dangerous materials Detection object carries out image acquisition, respectively obtains visible images and the raw RGB format of raw RGB format Terahertz image;
S15, the visible images of raw RGB format and the Terahertz image of raw RGB format are calibrated Process and frame synchronization process so that the visible images of described raw RGB format and described raw RGB format The pixel of Terahertz image and content matching;
S20, the visible images of raw RGB format is converted to the visible images of YIQ form;
S30, generate visible ray gray level image according to the visible images of described YIQ form;
S40, the Terahertz image of raw RGB format is converted into Terahertz gray level image;
S50, described Terahertz gray level image is carried out pixel value reversion, the Terahertz gray-scale map after being inverted Picture;
S60, by described visible ray gray level image, Terahertz gray level image and reversion after Terahertz gray level image Carry out image co-registration, the image after being merged;
S70, by after described fusion image generate YIQ form fusion image;
S100, the Terahertz image of raw RGB format is converted into the Terahertz image of YIQ form;
S110, the fusion image of YIQ form and the Terahertz image of YIQ form are carried out image co-registration, To final fusion image;
S120, described final fusion image is converted into final gray level image;
S130, described final gray level image is carried out binary conversion treatment, obtain binaryzation gray level image;
S140, by the visible ray of the white portion in described binaryzation gray level image Yu described raw RGB format Image co-registration, and obtain image to be output;
S150, product information the most dangerous in described binaryzation gray level image is judged;
S160, when, in step S150, not finding dangerous materials, by the visible images of raw RGB format in institute State and show on display;
S170, when in step S150, find dangerous materials, by described image to be output on the display Display.
The method of detection dangerous materials the most according to claim 1, it is characterised in that described step S130 Specifically include following steps:
S1301, setting threshold value;
S1302, will be greater than being set to 1 equal to the value of the pixel of described threshold value;
S1303, the value of the pixel less than described threshold value is set to 0 obtains binaryzation gray level image.
The method of detection dangerous materials the most according to claim 2, it is characterised in that described step S140 Specifically include following steps:
S1401, the image after binaryzation is carried out three-dimensional expansion;Described three-dimensional expansion is by the image letter of two dimension Breath carries out duplication and becomes three-dimensional;
S1402, the pixel that value is 1 of described pixel is replaced same position raw RGB format can See the pixel of light image, and the pixel of the visible images by the raw RGB format of described same position Value be set to (1,1,1).
The method of detection dangerous materials the most according to claim 3, it is characterised in that described step S60 In the algorithm of image co-registration be: linearity blending algorithm or image co-registration based on wavelet transform are calculated Method.
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