CN108124122A - Image treatment method, device and vehicle - Google Patents
Image treatment method, device and vehicle Download PDFInfo
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- CN108124122A CN108124122A CN201611076498.5A CN201611076498A CN108124122A CN 108124122 A CN108124122 A CN 108124122A CN 201611076498 A CN201611076498 A CN 201611076498A CN 108124122 A CN108124122 A CN 108124122A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/20—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of display used
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/30—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of image processing
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- Mechanical Engineering (AREA)
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Abstract
The embodiment of the present application discloses a kind of image treatment method, device and vehicle, is related to technical field of vehicle.Wherein method includes：Obtain the road conditions image at least one camera acquisition for being arranged on outside vehicle；According to image recognition technology judge road conditions image whether be by strong light disturb image；If so, repair process is carried out to road conditions image using image processing techniques；Road conditions image after repair process is presented in HUD display.Using this programme, it can be achieved that vehicle HUD systems filter strong light, so that accurately being presented by the road conditions image that strong light disturbs, make driver that can know road conditions exactly under driving at night strong illumination, substantially increase the security of driving.
Description
Technical field
The invention relates to a kind of technical field of vehicle more particularly to image treatment method, device and vehicles.
Background technology
With economic and science and technology high speed development, vehicle essential part in having become for people's lives, and drive a vehicle
Safety becomes one of aspect that people pay close attention to the most.Vehicle-mounted HUD systems (head-up-display system) can make driver without low
It is seen that the relevant information of driving in the case of head, for example, oil mass, speed, navigation etc., so that driver will be more
Energy is put on observation surface conditions, improves the security of driving.
During the embodiment of the present application is realized, inventor has found that at least there are the following problems in the prior art：At night
In driving conditions, under the strong illuminations such as other vehicle car lights, driver can not rapidly and accurately know road conditions, greatly reduce
The security of driving at night.Though the relevant information of driving can be presented in existing vehicle-mounted HUD systems, driving is improved to a certain extent
Security, but traffic information when having strong light interference in driving can not be presented exactly.
The content of the invention
In view of the above problems, it is proposed that the embodiment of the present application is in order to provide a kind of image treatment method, device and vehicle.
The embodiment of the present application provides a kind of image treatment method, including：
Obtain the road conditions image for the camera acquisition for being arranged on outside vehicle；
According to image recognition technology judge road conditions image whether be by strong light disturb image；
If so, repair process is carried out to road conditions image using image processing techniques；
Road conditions image after repair process is presented in HUD display.
According to the other side of the embodiment of the present application, a kind of image processor is provided, including：
Acquisition module, for obtaining the road conditions image for the camera acquisition for being arranged on outside vehicle；
Judgment module, for according to image recognition technology judge road conditions image whether be by strong light disturb image；
Processing module if judging that road conditions image is influenced by the interference of strong light for the judgment module, utilizes image
Treatment technology carries out repair process to road conditions image；
Display module, for the road conditions image after repair process to be presented in HUD display.
The embodiment of the present application additionally provides a kind of vehicle, including：The image processor, further includes：It is arranged on vehicle
At least one camera of outside and HUD display inside the vehicle is set；Wherein, the image processor with
At least one camera is connected；The HUD display is connected with the image processor.
Image treatment method provided by the embodiments of the present application, device and vehicle are arranged on taking the photograph for outside vehicle by obtaining
The road conditions image gathered as head；And according to image recognition technology judge road conditions image whether be by strong light disturb image；If so,
Repair process then is carried out to road conditions image using image processing techniques；Road conditions image most at last after repair process is presented on HUD
In display.Using this programme, it can be achieved that vehicle HUD systems filter strong light, so that road conditions image is in accurately in strong light
It is existing, driver is made to know road conditions exactly under the strong light interference of driving at night, substantially increases the security of driving.
Above description is only the general introduction of the embodiment of the present application technical solution, in order to better understand the embodiment of the present application
Technological means, and can be practiced according to the content of specification, and in order to allow above and other mesh of the embodiment of the present application
, feature and advantage can be clearer and more comprehensible, the special specific embodiment for lifting the application below.
Description of the drawings
One or more embodiments are illustrated by the picture in corresponding attached drawing, these exemplary theorys
The bright restriction not formed to embodiment, the element for having same reference numbers label in attached drawing are expressed as similar element, remove
Non- have a special statement, and composition does not limit the figure in attached drawing.
Fig. 1 is the flow chart for the image treatment method that the embodiment of the present application one provides；
Fig. 2 is the flow chart for the image treatment method that the embodiment of the present application two provides；
Fig. 3 is the flow chart for the image treatment method that the embodiment of the present application three provides；
Fig. 4 is the illustrative view of functional configuration for the image processor that the embodiment of the present application four provides；
Fig. 5 is the illustrative view of functional configuration for the image processor that the embodiment of the present application five provides；
Fig. 6 is the illustrative view of functional configuration for the image processor that the embodiment of the present application six provides；
Fig. 7 is the illustrative view of functional configuration of the vehicle for the execution image treatment method that the embodiment of the present application seven provides.
Specific embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Embodiment one
Fig. 1 is the flow chart for the image treatment method that the embodiment of the present application one provides.As shown in Figure 1, the present embodiment provides
Image treatment method specifically comprise the following steps：
Step 101, the road conditions image for the camera acquisition for being arranged on outside vehicle is obtained.
The camera of HUD systems is arranged on outside vehicle, for obtaining road conditions image when driving.Outside vehicle
The specific installation site of camera, setting angle and installation number, those skilled in the art can voluntarily be set, and the present invention is to HUD systems
The camera installation way of outside vehicle and position do not limit.
Step 102, according to image recognition technology judge road conditions image whether be by strong light disturb image.
The road conditions image that step 101 is got carries out image identification, judges whether the road conditions image is subject to strong light to disturb.
If so, step 103 is performed, if it has not, then not doing repair process to the road conditions image.
Optionally, judge whether road conditions image is subject to strong light using the brightness of image and/or half-tone information of road conditions image
Interference.When the brightness of image or gray scale of road conditions image reach a certain threshold value, it can determine whether that the road conditions image receives strong light interference.
Step 103, repair process is carried out to road conditions image using image processing techniques.
Under strong illumination, the higher regional exposure of brightness is excessive in image, makes a part of loss of learning in image, so that
Driver can not know road conditions exactly.
When the road conditions image that step 102 judges is subject to strong light to disturb, road conditions image is carried out by image processing techniques
Repair process.Each two field picture in the road conditions image of strong light interference will be subject to carry out strong Xanthophyll cycle repair process, recovered because strong
The image detail that light is irradiated and lost, makes the road conditions image detail under strong illumination accurately present.
Step 104, the road conditions image after repair process is presented in HUD display.
By road conditions image of the step 103 after too strong Xanthophyll cycle repair process by HUD optical imaging systems, it is presented on
In HUD display.
According to image treatment method provided by the embodiments of the present application, the camera that outside vehicle is arranged on by obtaining gathers
Road conditions image；And according to image recognition technology judge road conditions image whether be by strong light disturb image；If so, utilize figure
As treatment technology carries out repair process to road conditions image；Road conditions image most at last after repair process is presented in HUD display.
Using this programme, it can be achieved that vehicle HUD systems filter strong light, so that accurately presented by the road conditions image that strong light disturbs,
Driver is allow to know road conditions exactly by HUD systems under the strong light interference of driving at night, substantially increases the peace of driving
Quan Xing.
Embodiment two
Fig. 2 is the flow chart for the image treatment method that the embodiment of the present application two provides.As shown in Fig. 2, the present embodiment provides
Image treatment method specifically comprise the following steps：
Step 201, the road conditions image for the camera acquisition for being arranged on outside vehicle is obtained.
The camera of HUD systems is arranged on outside vehicle, for obtaining road conditions image when driving.
The specific installation site of the camera of outside vehicle, setting angle, those skilled in the art can voluntarily be set, and the present invention is right
Camera installation way and position outside HUD vehicles do not limit.
Step 202, brightness and/or the half-tone information of each two field picture of road conditions image are calculated.
The each two field picture progress brightness of road conditions image got to step 201 and/or half-tone information statistics.For example,
The luminance information of image is calculated, the brightness histogram of image can be utilized, brightness histogram reflects certain intensity level in image
Pixel number, reflect the frequency that certain brightness in image occurs.
The brightness histogram of image is calculated, the number of the pixel of each intensity level is calculated first, then calculates each intensity level
The percentage of pixel finally obtains abscissa as intensity level, the brightness histogram for the frequency that ordinate occurs for intensity level.
Step 203, judge whether road conditions image is the image disturbed by strong light.
According to the brightness of each two field picture of the road conditions image of step 202 calculating and/or half-tone information, road is determined whether
Whether condition image is the image disturbed by strong light.If it has, then perform step 204；Otherwise, step 208 is performed.
When road conditions image is subject to strong light to disturb, it is present with two peak values in the brightness histogram of image.It corresponds to respectively
Strong illumination region and not by strong illumination region in image.When strong illumination region in image brightness histogram corresponding peak
When value reaches a certain threshold value, it can determine whether that road conditions image has received strong light interference.
Step 204, the highlights domain in each two field picture of road conditions image is extracted.
It is disturbed when the road conditions image that step 203 judges receives strong light, then in each two field picture for extracting road conditions image
Highlights domain.
When road conditions image receives the interference of strong light, highlights domain often in correspondence image brightness histogram intensity level compared with
High peak region.
Optionally, smooth treatment can be carried out to the brightness histogram of image in the high peak region of definite intensity level, with
Eliminate image of the curve burr to definite peak region.And can high brightness be extracted by unit door serial method or curve-fitting method
Grade peak region, and pixel of the high brightness levels in the peak region is obtained, so as to extract each two field picture of road conditions image
In highlights domain.
Step 205, the image histogram information in highlights domain is calculated.
The image histogram information in the highlights domain that calculation procedure 204 extracts obtains the histogram distribution in highlights domain
Function.
Step 206, highlights domain Dynamic gene is set.
Image histogram near the image histogram information in highlights domain obtained according to step 206 and highlights domain is believed
Breath determines the Dynamic gene in highlights domain.
It optionally, can be according to the image histogram function structure near the image histogram function in highlights domain and highlights domain
Make a Tuning function；It is or true according to the image histogram information near the image histogram information in highlights domain and highlights domain
A fixed weight coefficient, using this weight coefficient as Dynamic gene.
Step 207, the intensity signal in highlights domain is adjusted.
According to the Dynamic gene that step 206 determines, the intensity signal in highlights domain is adjusted.Using weight factor or
Tuning function makes the light intensity in highlights domain be in a suitable brightness range.
Step 208, road conditions image is presented in HUD display.
The image that step 207 treated image and step 203 are judged as NO passes through HUD optical imaging systems, presents
In HUD display.
According to image treatment method provided by the embodiments of the present application, the camera that outside vehicle is arranged on by obtaining gathers
Road conditions image；And according to the brightness of image and/or half-tone information judge road conditions image whether be by strong light disturb image；If
It is then by extracting highlights domain, and highlights domain light intensity to be adjusted, repair process is carried out to road conditions image；Most at last
Road conditions image is presented in HUD display.Using this programme, it can be achieved that vehicle HUD systems filter strong light, so that being done by strong light
The road conditions image disturbed accurately is presented, and driver is made to remain to know road conditions exactly when meeting with strong illumination in driving at night
Information further improves the security of driving.
Embodiment three
Fig. 3 is the flow chart for the image treatment method that the embodiment of the present application three provides.As shown in figure 3, the present embodiment provides
Image treatment method specifically comprise the following steps：
Step 301, the multiple road conditions images for the multiple cameras acquisition for being arranged on outside vehicle are obtained.
Outside vehicle is provided with multiple cameras, and HUD systems set multiple cameras for driving a vehicle in outside vehicle
The road conditions image of different azimuth is obtained in journey.Specific installation site, setting angle and the installation of multiple cameras of outside vehicle
Number, those skilled in the art can voluntarily be set, and the present invention does not limit the camera installation way outside HUD vehicles and position
It is fixed.
Step 302, judge whether any of multiple road conditions images road conditions image is done by strong light according to image recognition technology
It disturbs.
The road conditions image that each camera that step 301 is got is shot carries out image identification, judges multiple road conditions shadows
Whether any of picture road conditions image is disturbed by strong light.If so, step 303 is performed, if it has not, not done to the road conditions image then
Repair process performs step 305.
Optionally, judge whether road conditions image is subject to strong light to do using the brightness of image or half-tone information of road conditions image
It disturbs.When the brightness of image or gray scale of road conditions image reach a certain threshold value, it can determine whether that the road conditions image receives strong light interference.
Step 303, the road conditions image of extraction and the road conditions correction of image by the interference of strong light.
Under strong illumination, the higher regional exposure of brightness is excessive in image, makes a part of loss of learning in image, so that
Driver can not know road conditions exactly.
Due to often there is shooting visual field overlapping region between usual multiple cameras so that the road conditions image after shooting exists
It partly overlaps.When any of multiple road conditions images road conditions image that step 302 judges disturb by strong light, it is extractable with by strong
The road conditions image captured by camera that the corresponding camera of light interference road conditions image has the visual field to overlap.
Step 304, the image information according to entrained by multiple road conditions images repaiies the road conditions image disturbed by strong light
Multiple processing.
It is being extracted according to step 303 with road conditions image that is being disturbed by strong light by pixel point location and image matching technology
Relevant road conditions image, the road conditions image that a reduction part is disturbed by strong light, then recover to do because of strong light by image repair technology
The image detail disturbed and lost enables the road conditions image detail under strong illumination accurately to present.
Further, according to the image information entrained by multiple road conditions images, to by the road conditions image that strong light disturbs into
After row repair process, this method can also further adjust the road conditions shadow after repairing according to the description of step 204 to step 207
The intensity signal of picture, so as to promote the effect of reparation.
Step 305, by default or the corresponding road conditions image show of camera set by user in HUD display.
HUD systems have multiple cameras, can be by default or one or more set by user during display
The corresponding road conditions image show of camera is in HUD display
According to image treatment method provided by the embodiments of the present application, multiple cameras of outside vehicle are arranged on by obtaining
The road conditions image of acquisition；And according to image recognition technology judge any road conditions image whether be by strong light disturb image；If so,
According to the image information entrained by multiple road conditions images, repair process is carried out to the road conditions image disturbed by strong light；Most it is at last
System setting or the corresponding road conditions image show of camera set by user are shown wherein in HUD.Using this programme, it can be achieved that having
The vehicle HUD systems of multiple cameras filter strong light, so that being repaiied by the road conditions image that the camera of strong light interference obtains
It is multiple, the road conditions image in Qiang Guangzhong is enable accurately to present, makes driver can by HUD systems under driving at night strong illumination
To know road conditions exactly, the security of driving is substantially increased.
Example IV
Fig. 4 is the illustrative view of functional configuration for the image processor that the embodiment of the present application four provides.As shown in figure 4, the dress
Putting mainly includes：Acquisition module 41, judgment module 42, processing module 43, display module 44.
Acquisition module 41, for obtaining the road conditions image for the camera acquisition for being arranged on outside vehicle.
The camera of HUD systems is arranged on outside vehicle, for obtaining road conditions image when driving.Outside vehicle
The specific installation site of camera, setting angle and installation number, those skilled in the art can voluntarily be set, and the present invention is to HUD systems
The camera installation way of outside vehicle and position do not limit.
Judgment module 42, for according to image recognition technology judge road conditions image whether be by strong light disturb image.
The road conditions image that acquisition module 41 is got carries out image identification, judges whether the road conditions image is subject to strong light to do
It disturbs.If so, into processing module 43, if it has not, then not doing repair process to the road conditions image.
Preferably, it can judge whether road conditions image is subject to by force using the brightness of image and/or half-tone information of road conditions image
Light disturbs.When the brightness of image or gray scale of road conditions image reach a certain threshold value, it can determine whether that the road conditions image receives strong light and does
It disturbs.
Processing module 43, if judging that road conditions image is influenced by the interference of strong light for judgment module, at image
Reason technology carries out repair process to road conditions image.
Under strong illumination, the higher regional exposure of brightness is excessive in image, makes a part of loss of learning in image, so that
Driver can not know road conditions exactly.
When the road conditions image that judgment module 42 judges is subject to strong light to disturb, by image processing techniques to road conditions image into
Row repair process.Each two field picture in the road conditions image of strong light interference will be subject to carry out strong Xanthophyll cycle repair process, recover because
The image detail that strong light is disturbed and lost, makes the road conditions image detail under strong illumination accurately present.
Display module 44, for the road conditions image after repair process to be presented in HUD display.
By road conditions image of the processing module 43 after too strong Xanthophyll cycle repair process by HUD optical imaging systems, present
In HUD display.
According to image processor provided by the embodiments of the present application, taking the photograph for outside vehicle is arranged on by acquisition module acquisition
The road conditions image gathered as head；And pass through judgment module and judge whether road conditions image is to be disturbed by strong light according to image recognition technology
Image；Repair process is carried out to road conditions image using image processing techniques by processing module；It will eventually by display module
Road conditions image after repair process is presented in HUD display.Using this programme, it can be achieved that vehicle HUD systems filter strong light, from
And road conditions image in strong light is enable accurately to present, allow driver accurate by HUD systems under driving at night strong illumination
Really know road conditions, substantially increase the security of driving.
Embodiment five
Fig. 5 is the illustrative view of functional configuration for the image processor that the embodiment of the present application five provides.As shown in figure 5, in Fig. 4
On shown device basic, image processor provided in this embodiment further includes：Computing module 51, extraction module 52, adjustment
Module 53.
Computing module 51, for calculating the brightness of each two field picture of road conditions image and/or half-tone information.
The each two field picture progress brightness of road conditions image got to acquisition module 41 and/or half-tone information statistics.Example
Such as, the luminance information of image is calculated, the brightness histogram of image can be utilized, brightness histogram reflects certain brightness in image
The number of the pixel of grade reflects the frequency that certain brightness occurs in image.
The brightness histogram of image is calculated, the number of the pixel of each intensity level is calculated first, then calculates each intensity level
The percentage of pixel finally obtains abscissa as intensity level, the brightness histogram for the frequency that ordinate occurs for intensity level.
Judgment module 42, the brightness being further used in computing module 51 and/or half-tone information, judge road conditions image
Whether it is the image disturbed by strong light.
According to the brightness of each two field picture of the road conditions image of computing module 51 and/or half-tone information, road is determined whether
Whether condition image is the image disturbed by strong light.If it has, then into processing module 43.
When road conditions image is subject to strong light to disturb, it is present with two peak values in the brightness histogram of image.It corresponds to respectively
Strong illumination region and not by strong illumination region in image.When strong illumination region in image brightness histogram corresponding peak
When value reaches a certain threshold value, it can determine whether that road conditions image has received strong light interference.
Extraction module 52, for extracting the highlights domain in each two field picture of road conditions image.
Highlights domain in each two field picture of road conditions image in calculating processing module 43.
When road conditions image receives the interference of strong light, highlights domain often in correspondence image brightness histogram intensity level compared with
High peak region.
Optionally, smooth treatment can be carried out to the brightness histogram of image in the high peak region of definite intensity level, with
Eliminate image of the curve burr to definite peak region.And can high brightness be extracted by unit door serial method or curve-fitting method
Grade peak region, and pixel of the intensity level in the peak region is obtained, so as to extract in each two field picture of road conditions image
Highlights domain.
Module 53 is adjusted, for adjusting the intensity signal in highlights domain.
The intensity signal in the highlights domain in each two field picture for the road conditions image that extraction module 52 extracts is adjusted.
Adjustment module further comprises：Computing unit 54, setup unit 55, adjustment unit 56.
Computing unit 54, for calculating the image histogram information in highlights domain.
The image histogram information in the highlights domain extracted is calculated, obtains the histogram distribution function in highlights domain.
Setup unit 55, for setting Dynamic gene.
Image Nogata near the image histogram information in highlights domain obtained according to computing unit 54 and highlights domain
Figure information determines the Dynamic gene in highlights domain.
It optionally, can be according to the image histogram function structure near the image histogram function in highlights domain and highlights domain
Make a Tuning function；It is or true according to the image histogram information near the image histogram information in highlights domain and highlights domain
A fixed weight coefficient, using this weight coefficient as Dynamic gene.
Adjustment unit 56, for adjusting the intensity signal in highlights domain according to Dynamic gene.
According to the Dynamic gene that setup unit 55 determines, the intensity signal in highlights domain is adjusted.Using weight because
Son or Tuning function make the light intensity in highlights domain be in a suitable brightness range.
According to image processor provided by the embodiments of the present application, pass through brightness of the judgment module according to image and/or ash
Degree information judges whether road conditions image is the image disturbed by strong light；If so, extracting highlights domain by extraction module, and lead to
Toning mould preparation block is adjusted highlights domain light intensity, and repair process is carried out to road conditions image；Most road conditions image is presented at last
In HUD display.Using this programme, it can be achieved that vehicle HUD systems filter strong light, so that the road conditions image disturbed by strong light obtains
Accurately to present, driver is made to remain to know traffic information exactly when meeting with strong illumination in driving at night, is further carried
The high security of driving.
Embodiment six
Fig. 6 is the illustrative view of functional configuration for the image processor that the embodiment of the present application six provides.Outside vehicle is provided with
Multiple cameras, as shown in fig. 6, on device basic shown in Fig. 4, image processor provided in this embodiment further includes：
Extraction module 61.
Extraction module 61, for extracting the road conditions image with the road conditions correction of image by the interference of strong light.
Under strong illumination, the higher regional exposure of brightness is excessive in image, makes a part of loss of learning in image, so that
Driver can not know road conditions exactly.
Due to often there is shooting visual field crossover region between usual multiple cameras so that there are portions for the road conditions image after shooting
Divide overlapping.When any of multiple road conditions images road conditions image is disturbed by strong light, can extract with being disturbed road conditions image by strong light
Corresponding camera has the road conditions image captured by the camera that the visual field overlaps,
Acquisition module 41 is further used for obtaining the multiple road conditions shadows for the multiple cameras acquisition for being arranged on outside vehicle
Picture.
Outside vehicle is provided with multiple cameras, and HUD systems set multiple cameras for driving a vehicle in outside vehicle
The road conditions image of different azimuth is obtained in journey.Specific installation site, setting angle and the installation of multiple cameras of outside vehicle
Number, those skilled in the art can voluntarily be set, and the present invention does not limit the camera installation way outside HUD vehicles and position
It is fixed.
Judgment module 42 is further used for judging any of multiple road conditions images road conditions image according to image recognition technology
Whether disturbed by strong light.
The road conditions image that each camera that acquisition module 41 is got is shot carries out image identification, judges multiple road conditions
Whether any of image road conditions image is disturbed by strong light.If so, into extraction module 61, if it has not, then to the road conditions shadow
As not doing repair process, into display module 44.
Preferably, it can judge whether road conditions image is subject to strong light to do using the brightness of image or half-tone information of road conditions image
It disturbs.When the brightness of image or gray scale of road conditions image reach a certain threshold value, it can determine whether that the road conditions image receives strong light interference.
Processing module 43 is further used for according to the image information entrained by multiple road conditions images, to what is disturbed by strong light
Road conditions image carries out repair process.
It is being extracted according to extraction module 61 with road conditions shadow that is being disturbed by strong light by pixel point location and image matching technology
As relevant road conditions image, a part of road conditions image disturbed by strong light of reduction, then recovered by image repair technology because of strong light
The image detail for irradiating and losing, makes the road conditions image detail under strong illumination accurately present.
Display module 44 is further used for existing default or the corresponding road conditions image show of camera set by user
In HUD display.
HUD systems have multiple cameras, can be by default or one or more set by user during display
The corresponding road conditions image show of camera is in HUD display.
According to image processor provided by the embodiments of the present application, outside vehicle are arranged on by acquisition module acquisition more
The road conditions image of a camera acquisition；And according to judgment module according to image recognition technology judge any road conditions image whether be by
The image of strong light interference；If so, the road conditions image of the road conditions correction of image with being disturbed by strong light is extracted by extraction module；It is logical
Image information of the processing module according to entrained by multiple road conditions images is crossed, repair place is carried out to the road conditions image disturbed by strong light
Reason；Default or the corresponding road conditions image show of camera set by user are shown it in HUD eventually by display module
In.Using this programme, it can be achieved that the vehicle HUD systems with multiple cameras filter strong light, so that being taken the photograph by strong light interference
As head obtain road conditions image repaired, the road conditions image in Qiang Guangzhong is enable accurately to present, makes driver in night row
Road conditions can be known by HUD systems exactly under vehicle strong illumination, substantially increase the security of driving.
Embodiment seven
Fig. 7 is the illustrative view of functional configuration of the vehicle for the execution image treatment method that the embodiment of the present application seven provides.
As shown in fig. 7, the vehicle includes：Image processor 71, at least one camera 72 for being arranged on outside vehicle,
And the HUD display 73 of setting inside the vehicle；Wherein, image processor 71 is connected at least one camera 72；HUD
Display 73 is connected with image processor 71.
Image processor can be the described dress of any embodiment corresponding to Fig. 4, Fig. 5 and Fig. 6 in the present embodiment
It puts.
The vehicle provided by the embodiments of the present application for performing image treatment method, can perform the image treatment method, can be real
Existing vehicle HUD systems filter strong light, so that road conditions image is accurately presented in strong light, make driver in the strong light of driving at night
Irradiation is lower can to know road conditions exactly by HUD systems, substantially increase the security of driving.
Finally it should be noted that：Above example is only to illustrate the technical solution of the application, rather than its limitations；Although
The application is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
To modify to the technical solution recorded in foregoing embodiments or carry out equivalent substitution to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from each embodiment technical solution of the application spirit and
Scope.
Claims (15)
1. a kind of image treatment method, which is characterized in that including：
Obtain the road conditions image for the camera acquisition for being arranged on outside vehicle；
According to image recognition technology judge road conditions image whether be by strong light disturb image；
If so, repair process is carried out to road conditions image using image processing techniques；
Road conditions image after repair process is presented in HUD display.
2. according to the method described in claim 1, it is characterized in that, the outside vehicle has multiple cameras, the acquisition
Be arranged on outside vehicle camera acquisition road conditions image be specially：Obtain the multiple cameras acquisition for being arranged on outside vehicle
Multiple road conditions images；
It is described to judge whether road conditions image is to be specially by the image that strong light disturbs according to image recognition technology：It is identified according to image
Technology judges whether any of multiple road conditions images road conditions image is disturbed by strong light；
If judging, any of multiple road conditions images road conditions image is subject to strong light to disturb, described to be satisfied the need using image processing techniques
Condition image carries out repair process：According to the image information entrained by multiple road conditions images, to the road conditions disturbed by strong light
Image carries out repair process.
3. according to the method described in claim 2, it is characterized in that, the road conditions image show by after repair process is in HUD
It is specially in display：By default or the corresponding road conditions image show of camera set by user in HUD display.
4. method according to any one of claim 1-3, which is characterized in that described that road is judged according to image recognition technology
Whether condition image is the image disturbed by strong light, is further comprised：
Calculate brightness and/or the half-tone information of each two field picture of the road conditions image；
According to the brightness and/or half-tone information, judge whether the road conditions image is the image disturbed by strong light.
5. method according to any one of claim 1-3, which is characterized in that described to utilize image processing techniques to road conditions
Image carries out repair process, further comprises：
Extract the highlights domain in each two field picture of the road conditions image；
Adjust the intensity signal in the highlights domain.
6. according to the method described in claim 5, it is characterized in that, the intensity signal in the adjustment highlights domain, into one
Step includes：
Calculate the image histogram information in the highlights domain；
Set Dynamic gene；
The intensity signal in highlights domain is adjusted according to the Dynamic gene.
7. according to the method described in claim 6, it is characterized in that, the Dynamic gene by the highlights domain image Nogata
Image histogram information near figure information and the highlights domain determines.
8. a kind of image processor, which is characterized in that including：
Acquisition module, for obtaining the road conditions image for the camera acquisition for being arranged on outside vehicle.
Judgment module, for according to image recognition technology judge road conditions image whether be by strong light disturb image；
Processing module if judging that road conditions image is influenced by the interference of strong light for the judgment module, utilizes image procossing
Technology carries out repair process to road conditions image；
Display module, for the road conditions image after repair process to be presented in HUD display.
9. device according to claim 8, which is characterized in that the outside vehicle has multiple cameras, the acquisition
Module is further used for：Obtain the multiple road conditions images for the multiple cameras acquisition for being arranged on outside vehicle；
The judgment module is further used for：Judge that any of multiple road conditions images road conditions image is according to image recognition technology
It is no to be disturbed by strong light；
If judging, any of multiple road conditions images road conditions image is subject to strong light to disturb, and the processing module is further used for：
According to the image information entrained by multiple road conditions images, repair process is carried out to the road conditions image disturbed by strong light.
10. device according to claim 9, which is characterized in that the display module is further used for：By default or
The corresponding road conditions image show of camera set by user is in HUD display.
11. according to the device any one of claim 8-10, which is characterized in that described device further includes：Computing module,
For calculating the brightness of each two field picture of the road conditions image and/or half-tone information；
The judgment module is further used for：According to the brightness and/or half-tone information, judge the road conditions image whether be by
The image of strong light interference.
12. according to the device any one of claim 8-10, which is characterized in that the processing module further includes：
Extraction module, for extracting the highlights domain in each two field picture of the road conditions image；
Module is adjusted, for adjusting the intensity signal in the highlights domain.
13. device according to claim 12, which is characterized in that the adjustment module further comprises：
Computing unit, for calculating the image histogram information in the highlights domain；
Setup unit, for setting Dynamic gene；
Adjustment unit, for adjusting the intensity signal in highlights domain according to the Dynamic gene.
14. device according to claim 13, which is characterized in that the Dynamic gene is straight by the image in the highlights domain
Image histogram information near square figure information and the highlights domain determines.
15. a kind of vehicle including any one of claim 8-14 image processor, further includes：It is arranged on outside vehicle extremely
The HUD display of a few camera and setting inside the vehicle；Wherein, the image processor and described at least one
A camera is connected；The HUD display is connected with the image processor.
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