CN106845449A - A kind of image processing apparatus, method and face identification system - Google Patents
A kind of image processing apparatus, method and face identification system Download PDFInfo
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Abstract
The embodiment of the invention provides a kind of image processing apparatus, including detection module, light source module, image capture module and processor.Illumination to current imaging circumstances detects, when its illumination meets default illumination condition, treats imageable target in the environment of supplementary lighting sources using second camera and be imaged；The light filling image under position relationship and supplementary lighting sources according to the first camera and second camera, is imaged to treating imageable target in natural environment, and acquired original image is modified.The definition of target imaging is improve, the discrimination of image is improve, high request of the specific area to picture quality is met, is conducive to the application field of extended parallel port picture, with good economic results in society.Additionally, the embodiment of the present invention additionally provides a kind of face identification system comprising above-mentioned image processing apparatus and the corresponding application method of image processing apparatus, the face identification system and image processing method have corresponding advantage.
Description
Technical field
The present embodiments relate to photography and vedio recording technology and technical field of image processing, at more particularly to a kind of image
Reason device, method and face identification system.
Background technology
With developing by leaps and bounds for computer technology and image processing techniques, due to face and other biological characteristics of human body
(such as fingerprint, iris etc.) is equally inherent, and its uniqueness and the superperformance for being difficult to be replicated are provided for identity differentiates
Necessary premise, therefore it is widely used in public safety field.Face recognition technology is compared for a kind of using analysis
The computer technology of identity discriminating is carried out compared with face visual signature information.
Recognition of face is to gather image or video flowing containing face with video camera or camera, and is examined in the picture automatically
Survey and track human faces, and then the correlated characteristic information of the face to detecting is extracted, and is then entered according to correlated characteristic information
Row identification, the discriminating of identity is realized with this.The sheet related to identity in human face data is extracted in it is critical only that for all kinds of recognitions of face
Matter feature, weakens and even eliminates and the incoherent information of identity, such as ambient lighting, posture, expression and jewelry.
In many non-identity factors, because lighting issues have a great impact to the definition being imaged.Due to outdoor ring
Border illumination variation is larger, and camera can automatically adjust shading value and color balance degree according to the change of ambient light, but generally
Camera automatically adjust when occurring that background light is too strong, portrait is imaged under-exposed due to backlight, and face imaging is too dark
The requirement of the definition to facial image imaging cannot be met, therefore accurate person characteristic information cannot be obtained, it is unfavorable
In being identified.It can be seen that, light impinges upon the more important of face recognition process in actual applications.
In the prior art, when illumination is too strong or too weak, at the illumination using Preprocessing Algorithm to the image for obtaining
Reason.Although illumination pretreatment algorithm can to a certain extent eliminate the influence of illumination, simple image preprocessing cannot expire
Sufficient practice demand, when contrast is big inside and outside ambient light, easily causes imaging overexposure or excessively dark, it is impossible to reach image recognition
To the demand of outdoor utilization.Therefore, how in different photoenvironments, the definition of target imaging is improved, it is art technology
Personnel's problem demanding prompt solution.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of image processing apparatus, method and face identification system, with not
In same photoenvironment, the definition of target imaging is improved.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme：
On the one hand the embodiment of the present invention provides a kind of image processing apparatus, including：
Detection module, light source module, image capture module and processor；
Whether the detection module, the illumination for detecting current imaging circumstances meets default illumination condition；
The light source module, for providing supplementary lighting sources for described image acquisition module；
Described image acquisition module, including the first camera and second camera, first camera are used for certainly
In the environment of right light source, treating imageable target carries out IMAQ, to obtain original image；The second camera is used for when full
During the foot default illumination condition, IMAQ is carried out to the target to be imaged in the environment of the supplementary lighting sources, to obtain
Take light filling image；
The processor, for position relationship and the benefit according to first camera and the second camera
Light image, is modified using deviation calibration algorithm to the original image.
Optionally, the light source module includes：
The light source and narrow band pass filter of single wavelength, the wavelength phase of the bandgap wavelength of the narrow band pass filter and the light source
Together.
Optionally, 20% of the luminous intensity of the supplementary lighting sources not less than the lamp luminous intensity.
Optionally, the wavelength of the supplementary lighting sources is not less than 760nm.
Optionally, the supplementary lighting sources are LED light supplement lamp.
Optionally, the LED light supplement lamp is that wavelength is the LED light supplement lamp of La；
Accordingly, also include：
The narrow band pass filter is that bandgap wavelength is the narrow band pass filter of La.
On the other hand the embodiment of the present invention provides a kind of face identification system, including the as above image described in any one
Processing unit.
The embodiment of the present invention additionally provides a kind of image processing method, including：
The first camera is obtained in the environment of lamp, treating imageable target carries out the original image of IMAQ；
Detect whether the illumination of current imaging circumstances meets default illumination condition；
When the illumination of the current imaging circumstances meets default illumination condition, the second camera is obtained in light filling light
In the environment of source, the light filling image of IMAQ is carried out to the target to be imaged；
According to the position relationship and the light filling image of first camera and the second camera, using deviation
Calibration algorithm is modified to the original image.
Optionally, in the environment of lamp, treat imageable target carries out IMAQ to the first camera of the acquisition
Original image include：
Receive the instruction that active user treats the image space of imageable target selection；
The first camera is obtained in the environment of lamp, the original graph of IMAQ is carried out to the image space
Picture；
Accordingly, also include：
The second camera is obtained in supplementary lighting sources environment, the light filling figure of IMAQ is carried out to the image space
Picture.
Optionally, the position relationship and the light filling figure according to first camera and the second camera
Picture, using deviation calibration method the original image is modified including：
Two-dimensional coordinate system is set up on the original image and the light filling image；
According to the coordinate position and size of current pixel point in the original image, and first camera with it is described
The position relationship of second camera, is calculated the coordinate of the current pixel point corresponding pixel in the light filling image
Position and size；
The current pixel point is modified according to corresponding pixel in the light filling image.
The embodiment of the invention provides a kind of image processing apparatus, including detection module, light source module, image capture module
And processor.Illumination to current imaging circumstances is detected, when its illumination meets default illumination condition, taken the photograph using second
Imageable target is treated as head in the environment of supplementary lighting sources to be imaged；Close position according to the first camera and second camera
Light filling image under system and supplementary lighting sources, is imaged, acquired original image to treating imageable target in natural environment
It is modified, to obtain the picture rich in detail of target to be imaged.
The advantage of technical scheme is, when the illumination condition of current imaging circumstances is too strong or too weak, current
Carry out Polaroid in environment, then treating imageable target using supplementary lighting sources carries out re-imaging.By two of fixed position
Camera is imaged to same target, and target to be imaged is due to the deviation of camera position, relative position in the picture
It is devious, deviation calibration algorithm according to the position deviation of camera and the deviation of image, to original image due to illumination effect
And the pixel of the fogging image for causing is calibrated, the definition and resolution ratio of target imaging are improve, improve figure
The discrimination of picture, meets high request of the specific area to picture quality, is conducive to the application field of extended parallel port picture, has
Good economic results in society.
Additionally, the embodiment of the present invention additionally provides a kind of face identification system and figure comprising above-mentioned image processing apparatus
As the corresponding application method of processing unit, the face identification system and image processing method have corresponding advantage.
Brief description of the drawings
For the clearer explanation embodiment of the present invention or the technical scheme of prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for technology description is briefly described, it should be apparent that, drawings in the following description are only this hair
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the block schematic illustration of an exemplary application scene provided in an embodiment of the present invention；
Fig. 2 is the structural representation of illustrative example provided in an embodiment of the present invention；
Fig. 3 is a kind of implementation method structure chart of image processing apparatus provided in an embodiment of the present invention；
Fig. 4 is deviation calibration principle schematic provided in an embodiment of the present invention；
Fig. 5 is a kind of implementation method structural representation of face identification system provided in an embodiment of the present invention；
Fig. 6 is a kind of schematic flow sheet of image processing method provided in an embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " in the description and claims of this application and above-mentioned accompanying drawing
Four " it is etc. for distinguishing different objects, rather than for describing specific order.In addition term " comprising " and " having " and
Their any deformations, it is intended that covering is non-exclusive to be included.For example contain the process of series of steps or unit, method,
System, product or equipment are not limited to the step of having listed or unit, but may include the step of not listing or unit.
Some possible application scenarios that the technical scheme of the embodiment of the present invention is related to are lifted with reference to Fig. 1 first below
Example is introduced, and Fig. 1 is an illustrative example provided in an embodiment of the present invention.As shown in figure 1,101 is the first camera, 102 are
Bandgap wavelength is La narrow-band-filter cameras, and 103 is that wavelength is the LED light supplement lamp of La, 101 and 102 structural representation such as Fig. 2
It is shown.
In the prior art, a camera 101 is only included, only treating imageable target by the camera is imaged.When
Imaging circumstances illumination condition is too strong or too weak, when causing exposure too or be not enough, illumination pretreatment algorithm is used to imaging picture
Photo-irradiation treatment is carried out, but the resolution ratio (definition) of treated image still cannot meet demand.What the application was provided
Scheme be first with the first camera 101 in the environment of lamp, treat imageable target and be imaged, obtain mesh to be imaged
Target original image；It is La arrowbands using bandgap wavelength when the illumination for detecting current imaging circumstances meets default illumination condition
Optical filtering camera 102 (second camera) is treated imageable target and is imaged in the supplementary lighting sources that LED light supplement lamp 103 is provided,
To obtain light filling image；Then according to the first camera 101 and the position relationship and light filling image of second camera 102, profit
Original image is modified with deviation calibration algorithm.The definition and resolution ratio of target imaging are improve, image is improve
Discrimination.
It should be noted that above-mentioned application scenarios are for only for ease of the thought and principle that understand the application and show, this
The implementation method of application is unrestricted in this regard.Conversely, presently filed embodiment can apply to it is applicable any
Scene.
After the technical scheme for describing the embodiment of the present invention, the various non-limiting reality of detailed description below the application
Apply mode.
Referring first to Fig. 3, Fig. 3 is image processing apparatus provided in an embodiment of the present invention in a kind of specific embodiment
Structural representation, the embodiment of the present invention may include herein below：
Detection module 301, light source module 302, image capture module 303 (may include the first camera 3031 and second
Camera 3032) and processor 304.
Whether detection module 301, the illumination for detecting current imaging circumstances meets default illumination condition.
Detection module 301 may include illumination probe unit 3011, and illumination probe unit 3011 can be illuminance sensor, example
Such as silicon photocell detector；Or light exposure measurement instrument, such as illumination meter or lumenmeter.Certainly, illumination survey can be also not provided with
Metering device, directly receives the current imaging circumstances photometric data of active user's input.
Default illumination condition can be a scope of illuminance, when illuminance (the illumination number for detecting current imaging circumstances
Value) in default scope, that is, meet default illumination condition.The corresponding imaging circumstances of default illumination condition can be too strong for illumination,
Such as reversible-light shooting picture；Or illumination is too weak, such as night or dusk.
Light source module 302, for providing supplementary lighting sources for described image acquisition module.
The purpose of light filling be in order that illumination condition difference in the case of can find target to be imaged in camera, can make
The illuminance for obtaining natural environment is approached with the illuminance for shooting main body, it is to avoid is exposed in image acquisition process too or exposed not
Foot.
Proved by test of many times, the luminous intensity of supplementary lighting sources is the lamp luminous intensity in current imaging circumstances
20%, you can the luminous intensity for reaching the effect of light filling, i.e. supplementary lighting sources can be not less than lamp light intensity in current imaging circumstances
The 20% of degree, but, from from the point of view of environmental protection and saving, the light intensity of supplementary lighting sources can be lamp light in current imaging circumstances
The 20% of intensity.Certainly, this illumination value is not limited in practical application, those skilled in the art can be carried out as the case may be
Selection.
In order to reduce the power consumption of total system, system power is saved, make whole system more environmentally-friendly；Additionally, in order to reduce
The volume of equipment, mitigates equipment quality, is conducive to it to develop to lighter, thinner, smaller novel device, it is preferred that light filling light
Source can be LED light supplement lamp.
In order to eliminate the influence of other light sources in environment, supplementary lighting sources can be the light source 3021 of single wavelength, can also mend
On the camera being imaged in radiant environment set narrow band pass filter 3022, during for being imaged, it is to avoid in environment its
The influence of his illumination.Because the function of narrow band pass filter 3022 is to eliminate entering to second camera for other light sources in environment
Influence during row imaging, therefore the bandgap wavelength of narrow band pass filter 3022 should be identical with the wavelength of the light source 3021 of single wavelength.
Because optical wavelength is more long, the influence to sunshine (natural light) is smaller；And, optical wavelength is more long, by environment
The interference of other light sources is just smaller, and photoenvironment adaptability is better.Test of many times proves that perception of the infrared band to human body is small.
Therefore, the optical wavelength of supplementary lighting sources can be not less than the light that 760nm, i.e. optical wavelength are in infrared band and microwave band.It is optional
, supplementary lighting sources can be infrared light supply.
In a kind of specific embodiment, supplementary lighting sources can be that wavelength is the LED light supplement lamp of La；
Accordingly, narrow band pass filter is that bandgap wavelength is the narrow band pass filter of La.
Image capture module 303, including the first camera 3031 and second camera 3032.First camera and second
Camera is intended merely to distinguish two cameras, and the specific order of non-depicted.In practical application, two uses of camera with
And order can as the case may be depending on.First camera 3031 is used in the environment of lamp, treats imageable target and enters
Row IMAQ, to obtain original image；Second camera 3032 is used for when default illumination condition is met, in supplementary lighting sources
IMAQ is carried out to the target to be imaged in environment, to obtain light filling image.
It should be noted that when the illumination in current imaging circumstances is unsatisfactory for default illumination condition, directly by first
Camera is treated imageable target and is imaged, final target imaging figure to be imaged by the image for being collected.
Also, it should be noted that the first camera 3031 can be used for when default illumination condition is met, in supplementary lighting sources
IMAQ is carried out to the target to be imaged in environment, to obtain light filling image；Second camera 3032 is used in natural light
In the environment in source, treating imageable target carries out IMAQ, to obtain original image.As long as camera be used for natural light into
Picture a, camera is imaged for supplementary lighting sources.
Processor 304, for the position relationship according to first camera 3031 and second camera 3032 and institute
Light filling image is stated, the original image is modified using deviation calibration algorithm.
The principle schematic of deviation calibration algorithm is as shown in figure 4, P1It is the first camera, P2It is second camera, L1It is P1
And P2The distance between, A is target to be imaged.Same target is imaged by two cameras of fixed position, it is to be imaged
Due to the deviation of camera position, relative position in the picture is devious to target, and deviation calibration algorithm can be according to shooting
The position deviation of head and the deviation of image, the pixel of the fogging image caused due to illumination effect to original image are carried out
Calibration.
Specifically calibration method can be：
Two-dimensional coordinate system is set up on original image and light filling image；
According to the coordinate position and size of current pixel point in original image, and the first camera and second camera
Position relationship, is calculated the coordinate position and size of current pixel point corresponding pixel in light filling image；
Current pixel point is modified according to corresponding pixel in light filling image.
In the technical scheme that the application is provided, when the illumination condition of current imaging circumstances is too strong or too weak, working as front ring
Carry out Polaroid in border, then treating imageable target using supplementary lighting sources carries out re-imaging.Taken the photograph by two of fixed position
As head is imaged to same target, due to the deviation of camera position, relative position in the picture is that have to target to be imaged
Deviation, deviation calibration algorithm according to the position deviation of camera and the deviation of image, to original image due to illumination effect
The pixel of the fogging image for causing is calibrated, and improves the definition and resolution ratio of target imaging, improves image
Discrimination, meet high request of the specific area to picture quality, be conducive to the application field of extended parallel port picture, with well
Economic results in society.
The embodiment of the present invention additionally provides a kind of face identification system, refers to Fig. 5, it may include：
Face image processing device 501, for gathering and obtains facial image, is the image procossing described in above-described embodiment
Device.
Face detection module 502, for the pretreatment of recognition of face, i.e., the figure for being obtained in face image processing device 501
Accurate calibration goes out position and the size of face as in.
The pattern feature very abundant included in facial image, such as histogram feature, color characteristic, template characteristic, structure
Feature and Haar features, certainly, may also include other features.Face datection is exactly that information useful among these is selected to come,
And realize Face datection using these features.
Facial image pretreatment module 503, based on Face datection result, is processed facial image and is finally served
The process of feature extraction.
The image that face image processing device 501 is obtained, due to being limited and random disturbances by various conditions, directly makes
With the accuracy rate and efficiency that can influence recognition of face, gray correction, noise can be carried out to it in the early stage of image procossing
The image preprocessings such as filtering.For facial image, its preprocessing process mainly includes light compensation, the gray scale of facial image
Conversion, histogram equalization, normalization, geometric correction, filtering and sharpening etc..
Facial image characteristic extracting module 504, for carrying out feature extraction to the image for treating.Face identification system can
The feature for using is generally divided into visual signature, pixels statisticses feature, facial image conversion coefficient feature, facial image algebraic characteristic
Deng.Face characteristic extracts what is carried out aiming at some features of face.Face characteristic is extracted, and also referred to as face is characterized, and is to people
Face carries out the process of feature modeling.
Facial image match cognization module 505, for according to the facial image characteristic extracted and storage in database
Feature templates scan for matching, finally recognize facial image.Recognition of face is exactly by face characteristic to be identified and has obtained
To skin detection be compared, the identity information of face is judged according to similarity degree.
Can be by setting a threshold value, when the similarity of the feature templates stored in facial image characteristic and database
During more than this threshold value, then it is assumed that the feature of this masterplate in database is the feature of currently processed facial image.
The function of the face image processing device 501 of face identification system described in the embodiment of the present invention can be according to above-mentioned implementation
Image processing apparatus each functional modules is implemented in example, and it implements process and is referred to the correlation of above-described embodiment retouches
State, here is omitted.
From the foregoing, it will be observed that the embodiment of the present invention is when the illumination condition of current imaging circumstances is too strong or too weak, in current environment
In carry out Polaroid, then treating imageable target using supplementary lighting sources carries out re-imaging.By two shootings of fixed position
Head is imaged to same target, and due to the deviation of camera position, relative position in the picture is that have partially to target to be imaged
Poor, deviation calibration algorithm is made to original image according to the position deviation of camera and the deviation of image due to illumination effect
Into the pixel of fogging image calibrated, improve the definition and resolution ratio of face imaging, improve face figure
The discrimination of picture, is conducive to improve the recognition accuracy and efficiency of face identification system.
The embodiment of the present invention provides corresponding application method, image procossing described below also directed to image processing apparatus
Method can be mutually to should refer to above-described image processing apparatus.
Fig. 6 is referred to, Fig. 6 is a kind of schematic flow sheet of image processing method provided in an embodiment of the present invention, the present invention
Embodiment for example can be applied to camera, specifically may include herein below：
S601：The first camera is obtained in the environment of lamp, treating imageable target carries out the original of IMAQ
Image.
S602：Detect whether the illumination of current imaging circumstances meets default illumination condition.
S603：When the illumination of the current imaging circumstances meets default illumination condition, obtain the second camera and exist
In supplementary lighting sources environment, the light filling image of IMAQ is carried out to the target to be imaged.
S604：According to the position relationship and the light filling image of first camera and the second camera, profit
The original image is modified with deviation calibration algorithm.
When target to be imaged is too big, or certain to only needing to treat imageable target is when being acquired, or active user
When treating the image space of imageable target and having demand, active user can carry out spot light-metering exposure by designated area, to obtain
The image of designated area.For example, in face identification system, it is only necessary to which face is imaged, without to whole people
It is imaged；For iris authentication system, it is only necessary to which eyeball or eyes are imaged, rather than whole face is imaged.
Optionally, in a kind of specific embodiment of the embodiment of the present invention, S601 may include：
S6011：Receive the instruction that active user treats the image space of imageable target selection；
S6012：The first camera is obtained in the environment of lamp, the original of IMAQ is carried out to the image space
Beginning image；
Accordingly, S603 carries out figure to obtain the second camera in supplementary lighting sources environment to the image space
As the light filling image of collection.
The image space of target to be imaged is and the carrying out of the designated area is imaged.
It should be noted that when the designated area that original image is the target to be imaged that active user chooses, second takes the photograph
As head is in supplementary lighting sources environment, when treating the image space of imageable target and carrying out IMAQ, can be to whole target to be imaged
It is imaged, the carrying out of the designated area of the target to be imaged can be also imaged.In view of successive image treatment efficiency and
Image size, it is preferred that the carrying out of the designated area of the target to be imaged can be imaged.
Optionally, in another specific embodiment of the embodiment of the present invention, S604 may include：
S6041：Two-dimensional coordinate system is set up on the original image and the light filling image；
S6042：According to the coordinate position and size of current pixel point in the original image, and first camera
With the position relationship of the second camera, the current pixel point corresponding pixel in the light filling image is calculated
Coordinate position and size；
S6043：The current pixel point is modified according to corresponding pixel in the light filling image.
At the image implemented during process can refer to above-described embodiment of embodiment of the present invention described image processing method
The specific implementation of the function of each functional module of device is managed, here is omitted.
From the foregoing, it will be observed that the embodiment of the present invention is when the illumination condition of current imaging circumstances is too strong or too weak, in current environment
In carry out Polaroid, then treating imageable target using supplementary lighting sources carries out re-imaging.By two shootings of fixed position
Head is imaged to same target, and due to the deviation of camera position, relative position in the picture is that have partially to target to be imaged
Poor, deviation calibration algorithm is made to original image according to the position deviation of camera and the deviation of image due to illumination effect
Into the pixel of fogging image calibrated, improve the definition and resolution ratio of target imaging, improve image
Discrimination, meets high request of the specific area to picture quality, is conducive to the application field of extended parallel port picture, with good
Economic results in society.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment same or similar part mutually referring to.For being filled disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Illustrate.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
The step of method or algorithm for being described with reference to the embodiments described herein, directly can be held with hardware, processor
Capable software module, or the two combination is implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In field in known any other form of storage medium.
Detailed Jie has been carried out to a kind of image processing apparatus provided by the present invention, method and face identification system above
Continue.Specific case used herein is set forth to principle of the invention and implementation method, and the explanation of above example is only
It is to be used to help understand the method for the present invention and its core concept.It should be pointed out that for those skilled in the art
For, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these improve and repair
Decorations are also fallen into the protection domain of the claims in the present invention.
Claims (10)
1. a kind of image processing apparatus, it is characterised in that including：
Detection module, light source module, image capture module and processor；
Whether the detection module, the illumination for detecting current imaging circumstances meets default illumination condition；
The light source module, for providing supplementary lighting sources for described image acquisition module；
Described image acquisition module, including the first camera and second camera, first camera are used in natural light
In the environment in source, treating imageable target carries out IMAQ, to obtain original image；The second camera meets institute for working as
When stating default illumination condition, IMAQ is carried out to the target to be imaged in the environment of the supplementary lighting sources, to obtain benefit
Light image；
The processor, for position relationship and the light filling figure according to first camera and the second camera
Picture, is modified using deviation calibration algorithm to the original image.
2. image processing apparatus according to claim 1, it is characterised in that the light source module includes：
The light source and narrow band pass filter of single wavelength, the bandgap wavelength of the narrow band pass filter are identical with the wavelength of the light source.
3. image processing apparatus according to claim 1, it is characterised in that the luminous intensity of the supplementary lighting sources is not less than institute
State the 20% of lamp luminous intensity.
4. image processing apparatus according to claims 1 to 3 any one, it is characterised in that the ripple of the supplementary lighting sources
It is long to be not less than 760nm.
5. image processing apparatus according to claim 4, it is characterised in that the supplementary lighting sources are LED light supplement lamp.
6. image processing apparatus according to claim 5, it is characterised in that the LED light supplement lamp is that wavelength is the LED of La
Light compensating lamp；
Accordingly, also include：
The narrow band pass filter is that bandgap wavelength is the narrow band pass filter of La.
7. a kind of face identification system, it is characterised in that including the image procossing dress as described in claim 1 to 6 any one
Put.
8. a kind of image processing method, it is characterised in that including：
The first camera is obtained in the environment of lamp, treating imageable target carries out the original image of IMAQ；
Detect whether the illumination of current imaging circumstances meets default illumination condition；
When the illumination of the current imaging circumstances meets default illumination condition, the second camera is obtained in supplementary lighting sources ring
In border, the light filling image of IMAQ is carried out to the target to be imaged；
According to the position relationship and the light filling image of first camera and the second camera, using deviation calibration
Algorithm is modified to the original image.
9. image processing method according to claim 8, it is characterised in that the camera of the acquisition first is in lamp
Environment in, treating imageable target and carrying out the original image of IMAQ includes：
Receive the instruction that active user treats the image space of imageable target selection；
The first camera is obtained in the environment of lamp, the original image of IMAQ is carried out to the image space；
Accordingly, also include：
The second camera is obtained in supplementary lighting sources environment, the light filling image of IMAQ is carried out to the image space.
10. image processing method according to claim 9, it is characterised in that described according to first camera and institute
The position relationship and the light filling image of second camera are stated, the original image is modified using deviation calibration method
Including：
Two-dimensional coordinate system is set up on the original image and the light filling image；
According to the coordinate position and size of current pixel point in the original image, and first camera and described second
The position relationship of camera, is calculated the coordinate position of the current pixel point corresponding pixel in the light filling image
With size；
The current pixel point is modified according to corresponding pixel in the light filling image.
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