CN109922274A - The strong Xanthophyll cycle method and device of video camera based on histogram - Google Patents

The strong Xanthophyll cycle method and device of video camera based on histogram Download PDF

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Publication number
CN109922274A
CN109922274A CN201711332525.5A CN201711332525A CN109922274A CN 109922274 A CN109922274 A CN 109922274A CN 201711332525 A CN201711332525 A CN 201711332525A CN 109922274 A CN109922274 A CN 109922274A
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bright
threshold value
block
video camera
bright spot
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CN109922274B (en
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许培培
李修新
范铁道
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Shenzhen Infinova Ltd
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Shenzhen Infinova Ltd
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Abstract

The present invention provides a kind of strong Xanthophyll cycle method and devices of video camera based on histogram, automatic identification and the inhibition to light strong in camera picture can be realized based on the statistical information of histogram, the scenes application such as strong light of car light in video camera shooting process can effectively be inhibited, make the other information outside strong light, such as license plate, clearly reveal.In addition, camera views can detect automatically and be restored to normal scene under strong light Disappearance Scenarios, the accuracy rate for meeting candid photograph and the identification of picture concern information in strong light situation by chance is substantially increased, while not influencing the normal use of video camera again.

Description

The strong Xanthophyll cycle method and device of video camera based on histogram
Technical field
The present invention relates to a kind of camera review optimization methods, refer in particular to a kind of strong light suppression of the video camera based on histogram Method and device processed.
Background technique
In protection and monitor field, Car license recognition is a very important application, current bayonet camera all equipped with License auto-recognition system module, what can be prepared is captured and is identified to the license plate of vehicle.But when night, opened in car light In the case where opening, the license plate picture that video capture arrives, often because of the strong light action of car light, license plate is submerged under strong light, causes License plate, which is difficult to be accurately positioned, to be arrived, and the discrimination of characters on license plate substantially reduces.
Summary of the invention
Identification is led the technical problems to be solved by the present invention are: providing one kind and strong light in camera views can be effectively suppressed The strong Xanthophyll cycle method and device of the video camera based on histogram that body influences.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows: a kind of video camera based on histogram is strong Xanthophyll cycle method, including step,
Shooting picture is pressed into grid dividing piecemeal;
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is same When bright block quantity be more than that the 4th threshold value then continues step, if bright spot quantity be less than third threshold value simultaneously bright block quantity less than the 4th threshold Value then goes to step S6, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
S5 the exposure value for) adjusting video camera, then goes back to step S3;
S6) the exposure value readjustment of video camera, then goes back to step S2.
Among the above, in the step S5, the exposure value of video camera is adjusted according to the first step-length, then goes back to step S3;Institute The first step-length and the second step-length is stated to be become according to bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic Change, if difference is bigger, the first step-length and the second step-length are bigger.
The invention further relates to a kind of strong Xanthophyll cycle method of video camera based on histogram, including step,
Shooting picture is pressed into grid dividing piecemeal;
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is same When bright block quantity be more than that the 4th threshold value then continues step, if bright spot quantity be less than third threshold value simultaneously bright block quantity less than the 4th threshold Value then goes to step S6, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
S5) switching video camera enters wide dynamic mode, then goes back to step S3;
S6) switching video camera enters general mode, then goes back to step S2.
Among the above, the third threshold value, the 4th threshold value include multiple selectable value;The strong Xanthophyll cycle of video camera based on histogram Method further includes the steps that selecting third threshold value, the 4th threshold value from multiple selectable value.
Among the above, in the step S321, bright block judgement is carried out by one or more of mode:
1) judge in the statistics with histogram information of each block of current shooting picture whether is pixel according to first threshold For bright spot, it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
2) the statistics with histogram information of each block of current shooting picture is subjected to segmentation statistics according to BIN threshold value, obtained To bright spot accounting, bright spot accounting is more than that the 6th threshold value is bright block;
3) count current shooting picture overall brightness mean value then calculate separately each block of current shooting picture with The departure degree of overall brightness mean value, surpassing the 7th threshold value for departure degree is bright block.
Among the above, the bright block differentiates that sub-process specifically includes step:
S320) with shooting picture by the corresponding two-dimensional array of grid dividing piecemeal, initialization of two-dimensional array number is 0 for setting;
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Correspondence in two-dimensional array is judged as that bright block position is assigned a value of 1;
S323 the number that the adjacent bright block of each bright block is 1) is counted;
S324) if in two bit arrays 1 number be more than the 8th threshold value if reduce third threshold value, the 4th threshold value, otherwise increase Third threshold value, the 4th threshold value.
Invention additionally provides a kind of strong Xanthophyll cycle devices of video camera based on histogram, including
Division module, for shooting picture to be pressed grid dividing piecemeal;
Current preserving module, for being original histogram statistics letter by the statistics with histogram information preservation of current shooting picture Breath, then goes to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, pixel in the statistics with histogram information for judging current shooting picture according to first threshold Whether it is bright spot, then goes to bright spot statistic unit;
Bright spot statistic unit, for counting bright spot quantity;
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block, then goes to bright block according to second threshold Statistic unit;
Bright block statistic unit, for counting bright block quantity;
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than Bright block quantity is more than that the 4th threshold value then goes to adjustment module to third threshold value simultaneously, if bright spot quantity is less than third threshold value bright block simultaneously Quantity then goes to callback module less than the 4th threshold value, if bright spot quantity is equal to third threshold value, bright block quantity is equal to the 4th threshold value simultaneously Then go back to current preserving module;
It adjusts module and then goes back to discrimination module for adjusting the exposure value of video camera;
Callback module enters general mode for switching video camera, then goes back to current preserving module.
Among the above, in the step S5, the exposure value of video camera is adjusted according to the first step-length, then goes back to step S3;Institute The first step-length and the second step-length is stated to be become according to bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic Change, if difference is bigger, the first step-length and the second step-length are bigger.
The present invention provides a kind of strong Xanthophyll cycle device of the video camera based on histogram, including step again,
Division module, for shooting picture to be pressed grid dividing piecemeal;
Current preserving module, for being original histogram statistics letter by the statistics with histogram information preservation of current shooting picture Breath, then goes to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, pixel in the statistics with histogram information for judging current shooting picture according to first threshold Whether it is bright spot, then goes to bright spot statistic unit;
Bright spot statistic unit, for counting bright spot quantity;
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block, then goes to bright block according to second threshold Statistic unit;
Bright block statistic unit, for counting bright block quantity;
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than Bright block quantity is more than that the 4th threshold value then goes to adjustment module to third threshold value simultaneously, if bright spot quantity is less than third threshold value bright block simultaneously Quantity then goes to callback module less than the 4th threshold value, if bright spot quantity is equal to third threshold value, bright block quantity is equal to the 4th threshold value simultaneously Then go back to current preserving module;
Module is adjusted, enters wide dynamic mode for switching video camera, then goes back to discrimination module;
Callback module enters general mode for switching video camera, then goes back to current preserving module.
Among the above, the bright block judgement unit specifically includes:
Array establishes unit, presses the corresponding two-dimensional array of grid dividing piecemeal, two-dimensional array with shooting picture for setting Initializing number is 0, is then gone to;
Bright block judgement unit, for judging whether the block of current shooting picture is bright block, is then gone to according to second threshold Bright block statistic unit;
Bright block statistic unit, for counting bright block quantity and correspondence in two-dimensional array being judged as that bright block position is assigned a value of 1, then go to array statistic unit;
Array statistic unit, the number for being 1 for counting the adjacent bright block of each bright block, then goes to threshold adjustment unit;
Threshold adjustment unit, for being more than that the 8th threshold value then reduces third threshold value, the 4th threshold when in two bit arrays 1 number Otherwise value increases third threshold value, the 4th threshold value.
The beneficial effects of the present invention are: the statistical information based on histogram realizes the automatic knowledge to light strong in camera picture Not and inhibit, can effectively inhibit the scenes application such as strong light of car light in video camera shooting process, makes other letters outside strong light Breath, such as license plate clearly reveal.In addition, camera views can be detected automatically and are restored to normal under strong light Disappearance Scenarios Scene substantially increases the accuracy rate for meeting candid photograph and the identification of picture concern information in strong light situation by chance, while not influencing again The normal use of video camera.
Detailed description of the invention
Specific structure of the invention is described in detail with reference to the accompanying drawing
Fig. 1 is one flow chart of embodiment of the method for the present invention;
Fig. 2 is two flow chart of embodiment of the method for the present invention.
Specific embodiment
In order to describe the technical content, the structural feature, the achieved object and the effect of this invention in detail, below in conjunction with embodiment And attached drawing is cooperated to be explained in detail.
The busier crossing in night crossing, especially traffic, when car light is opened, picture that cameras capture arrives Face, license plate part exception overexposure, license plate is submerged in completely in the halation of car light, for video camera, can not be positioned completely License plate.Mode 1 is mainly to inhibit vehicle lamp brightness and car light halation to reach by the exposure target value of control video camera Purpose reveals license plate clearly, and the positioning candid photograph and the identification of characters on license plate of license plate are carried out convenient for video camera.Together When vehicle be the state in a kind of movement, that is, car light ceaselessly can occur and disappear, so the case where car light disappears Under, camera views will also automatically revert to the state before car light occurs.
Because of the diversity of practical application scene, statistics with histogram information of the design based on camera review is realized The automatic suppression technology of the car light of two kinds of different modes.
Mode one: mainly utilizing the statistics with histogram information of camera review, by the exposure mesh for removing control video camera Scale value, to achieve the purpose that inhibit car light.
Referring to Fig. 1, the present invention provides a kind of strong Xanthophyll cycle method of video camera based on histogram, including step,
Shooting picture is pressed into grid dividing piecemeal;
Preferably, entire picture can be divided into 255 fritters for the judgement of the subsequent bright block of quota.
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
In a kind of mode, the judgement of bright spot can be based on 256 sections of statistics with histogram information, count in picture greater than a certain The bright spot number of threshold value is judged as bright spot.
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Light bright spot is to determine whether have the strong light of car light not accurate enough, because video camera will appear greatly when night The noise of amount, noise can seriously affect the statistics of bright spot, so second can benefit other than using this feature of bright spot Feature is exactly bright block, then by 255 blocks divided in example before scan round, count belong in this 255 blocks it is bright The number of block.
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is same When bright block quantity be more than that the 4th threshold value then continues step, if bright spot quantity be less than third threshold value simultaneously bright block quantity less than the 4th threshold Value then goes to step S6, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
Only when in picture bright block and bright spot all reached a certain threshold value when judge whether the block belongs to bright block, it is bright Point, bright block reach threshold value and picture are just judged as strong laser field scape, to open subsequent strong Xanthophyll cycle.
S5 the exposure value for) adjusting video camera, then goes back to step S3;
After scene is judged as strong laser field scape, this step begins to carry out strong Xanthophyll cycle by adjusting camera exposure value.
S6) the exposure value readjustment of video camera, then goes back to step S2.
In conclusion the statistical information provided by the invention based on histogram to realize to light strong in camera picture oneself It is dynamic to identify and inhibit, it can effectively inhibit the scenes application such as strong light of car light in video camera shooting process, make its outside strong light His information, as license plate clearly reveals.In addition, the discovery that camera views can detect automatically is simultaneously under strong light Disappearance Scenarios It is restored to normal scene, can be greatly improved the accurate of the candid photograph and identification for meeting the concern information of picture in strong light situation by chance Rate, while not influencing the normal use of video camera again.
The technology of the present invention meets the inhibition of strong light situation by chance suitable for all kinds of video camera shooting process, especially suitable for camera shooting Machine is shot under the strong light of vehicle car light, the identification to license plate.In addition, in order to more preferably carry out the candid photograph and identification of license plate, in car light During strong Xanthophyll cycle, also by utilizing image enhancement technique, Lai Zengqiang license plate effect facilitates video camera to carry out characters on license plate Identification, license plate image enhancing mainly using histogram equalization technology, can be very well to license plate portion using the technology Divide and promoted, while being also able to suppress the car light halation of a part.
Mode one mainly realizes two kinds of functions, and first is exactly to be able to suppress car light when car light occurs, and keeps license plate aobvious Expose, second is exactly when car light disappears, and picture can be returned to normal condition, and the inhibition strength of car light is also wanted Can be according to how much automatic adjustments of car light, that is, when car light is fewer in picture, the inhibition of car light wants weak, and works as When occurring multiple car lights in picture, the inhibition of car light is just eager to excel at this time, and car light inhibition strength can also basis The difference of scene, the difference of client's personal preference, the autonomous inhibition strength for selecting car light.
When necessary, S1 can be increased before step S2) judge present filming scene for state on daytime or night state, Yu Baitian State or night state are correspondingly arranged third threshold value, the 4th threshold value.
Increase this step purpose and inhibiting beginning initial stage, first has to distinguish the scene to daytime and night, because On daytime, when sunlight is extremely strong, picture is captured from video camera, the identification of license plate is also not very high, so Daytime and night will treat with a certain discrimination.The differentiation at daytime and night mainly utilizes the gain of video camera and the letter of dim spot and phaeodium Current scene after gain, dim spot and phaeodium are more than certain certain range, is just determined as night shape to be judged by breath State, day and night separate to be handled, and the processing method at daytime and night is roughly the same, only third threshold value, the 4th threshold value Difference.
Embodiment 1
In the step S5, the exposure value of video camera is adjusted according to the first step-length, then goes back to step S3;The step S6 It is middle to be adjusted back according to the long exposure value for carrying out video camera of second step, then go back to step S2;First step-length and the second step-length root According to bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic change, if difference is bigger, the first step Length is bigger with the second step-length.
Current strong light path is learnt by bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference as a result, Degree, and dynamic first step-length and the second step-length can then change the fast velocity modulation for reaching adaptation strong light environment according to strong light path degree dynamic Whole purpose.
The present embodiment is set dynamically by the adjusting step to exposure target value, i.e., according to the strong light path degree of picture come Different step-lengths is set, is also avoided that picture flashes in this way, by the deviation for calculating current bright spot and bright block value and threshold value Degree, to set different adjusting steps, when departure degree is big, adjusting step is big, and car light inhibitory effect is fast, works as deviation Degree is smaller, and both when picture relatively ideal scenario, adjusting step at this time is small, and design is in addition to comparing contract in this way It closes except actual use, can also prevent picture from flashing concussion occur.
Embodiment 2
The third threshold value, the 4th threshold value include multiple selectable value;The strong Xanthophyll cycle method of video camera based on histogram is also Include the steps that selecting third threshold value, the 4th threshold value from multiple selectable value.
The setting of threshold value is one of emphasis of the art of this patent, if threshold value setting is relatively simple, be can be used, but also can There is the not strong feature of scene adaptability, i.e., it is possible that non-strong laser field scape is determined as strong laser field scape, and should be strong laser field scape, really It is determined as non-strong laser field scape again.
In this embodiment scheme, in order to improve degree of flexibility, the present embodiment is different to set by introducing grade thought Third threshold value, the 4th threshold value, that is to say, that the setting of third threshold value, the 4th threshold value all has dynamic, that is, allows according to difference The different threshold value of scene settings, according to the different threshold value of different resolution settings.It can be coped with as a result, without camera application Environment, such as the scene that has are possible to that street lamp is relatively more, and some scene street lamps are fewer, and third threshold value, the 4th threshold value include more A selectable value constitutes multiple adjustment ranks, such as grade is divided into 16 grades in a kind of mode, and thus user can basis The installation scenario of actual video camera voluntarily selects different grades, to set different third threshold values, the 4th threshold value.
Embodiment 3
In the step S321, bright block judgement is carried out by one or more of mode:
1) judge in the statistics with histogram information of each block of current shooting picture whether is pixel according to first threshold For bright spot, it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
2) the statistics with histogram information of each block of current shooting picture is subjected to segmentation statistics according to BIN threshold value, obtained To bright spot accounting, bright spot accounting is more than that the 6th threshold value is bright block;
3) count current shooting picture overall brightness mean value then calculate separately each block of current shooting picture with The departure degree of overall brightness mean value, surpassing the 7th threshold value for departure degree is bright block.
Embodiment 4
The bright block differentiates that sub-process specifically includes step:
S320) with shooting picture by the corresponding two-dimensional array of grid dividing piecemeal, initialization of two-dimensional array number is 0 for setting;
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Correspondence in two-dimensional array is judged as that bright block position is assigned a value of 1;
S323 the number that the adjacent bright block of each bright block is 1) is counted;
S324) if in two bit arrays 1 number be more than the 8th threshold value if reduce third threshold value, the 4th threshold value to increasing suppression Otherwise processing procedure degree increases third threshold value, the 4th threshold value to reduce inhibition strength.
The technical solution of the present embodiment, precisely in order to supervisor's impression of matching people, designed a set of utilization connected domain is thought Want that carrying out light inhibits adjustment.Its principle is adaptively to adjust bright block threshold value using the connected domain of bright block.From the master of people Perception is by for, when the bright block dispersion and the difference of intensity of picture, the readability of license plate and the subjectivity of people Feel all to be different, when bright block is more dispersed, the degree of strong Xanthophyll cycle is weaker, and works as the bright block of picture When comparing concentration, the inhibition strength of car light is just eager to excel.So the judgment threshold of bright block should be with the dispersion of bright block Different settings is carried out with intensity, when counting picture bright block, by setting a two dimension corresponding with 255 blocks Array is 0 when array initializes, when judging the block for bright block, corresponding two-dimensional array position is assigned a value of 1, after 255 block scans are completed, by each piece of 8 neighborhoods of statistics, see that its 8 neighborhood intermediate value is 1 number, to go to sentence The intensity of disconnected bright block, when intensity is relatively high, the inhibition level of car light at this time is accordingly strong, on the contrary Want weaker.
In order to preferably adapt to different scenes, the present invention also provides strong light (the especially car lights of another mode Qiang Guang) inhibit strategy, when video camera is mounted on cell doorway or underground parking when thering is car light to occur, by force Light is mainly distributed on specific position in picture, similar to video camera scene outdoor in terms of interior, so the design passes through utilization Wide dynamic function possessed by video camera itself is opened that is, when having car light to adapt to the scene of cell or underground parking The wide dynamic function of video camera is opened, and when car light disappears, the wide dynamic of video camera is closed, because in normal scene such as If fruit opens wide dynamic, entire picture has the phenomenon that getting confused, so to close wide dynamic function in normal scene.
Mode two: mainly dynamically being switched by control camera shooting machine width, to achieve the purpose that inhibit car light.
Referring to Fig. 2, the present invention also provides a kind of strong Xanthophyll cycle method of video camera based on histogram, including step,
Shooting picture is pressed into grid dividing piecemeal;
Preferably, entire picture can be divided into 255 fritters for the judgement of the subsequent bright block of quota.
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
In a kind of mode, the judgement of bright spot can be based on 256 sections of statistics with histogram information, count in picture greater than a certain The bright spot number of threshold value is judged as bright spot.
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Light bright spot is to determine whether have the strong light of car light not accurate enough, because video camera will appear greatly when night The noise of amount, noise can seriously affect the statistics of bright spot, so second can benefit other than using this feature of bright spot Feature is exactly bright block, then by 255 blocks divided in example before scan round, count belong in this 255 blocks it is bright The number of block.
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is same When bright block quantity be more than that the 4th threshold value then continues step, if bright spot quantity be less than third threshold value simultaneously bright block quantity less than the 4th threshold Value then goes to step S6, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
Only when in picture bright block and bright spot all reached a certain threshold value when judge whether the block belongs to bright block, it is bright Point, bright block reach threshold value and picture are just judged as strong laser field scape, to open subsequent strong Xanthophyll cycle.
S5) switching video camera enters wide dynamic mode, then goes back to step S3;
After scene is judged as strong laser field scape, this step begins to carry out strong Xanthophyll cycle by adjusting camera exposure value.
S6) switching video camera enters general mode, then goes back to step S2.
In conclusion the statistical information provided by the invention based on histogram to realize to light strong in camera picture oneself It is dynamic to identify and inhibit, it can effectively inhibit the scenes application such as strong light of car light in video camera shooting process, make its outside strong light His information, as license plate clearly reveals.In addition, the discovery that camera views can detect automatically is simultaneously under strong light Disappearance Scenarios It is restored to normal scene, can be greatly improved the accurate of the candid photograph and identification for meeting the concern information of picture in strong light situation by chance Rate, while not influencing the normal use of video camera again.
The technology of the present invention meets the inhibition of strong light situation by chance suitable for all kinds of video camera shooting process, especially suitable for camera shooting Machine is shot under the strong light of vehicle car light, the identification to license plate.In addition, in order to more preferably carry out the candid photograph and identification of license plate, in car light During strong Xanthophyll cycle, also by utilizing image enhancement technique, Lai Zengqiang license plate effect facilitates video camera to carry out characters on license plate Identification, license plate image enhancing mainly using histogram equalization technology, can be very well to license plate portion using the technology Divide and promoted, while being also able to suppress the car light halation of a part.
When necessary, S1 can be increased before step S2) judge present filming scene for state on daytime or night state, Yu Baitian State or night state are correspondingly arranged third threshold value, the 4th threshold value.
Increase this step purpose and inhibiting beginning initial stage, first has to distinguish the scene to daytime and night, because On daytime, when sunlight is extremely strong, picture is captured from video camera, the identification of license plate is also not very high, so Daytime and night will treat with a certain discrimination.The differentiation at daytime and night mainly utilizes the gain of video camera and the letter of dim spot and phaeodium Current scene after gain, dim spot and phaeodium are more than certain certain range, is just determined as night shape to be judged by breath State, day and night separate to be handled, and the processing method at daytime and night is roughly the same, only third threshold value, the 4th threshold value Difference.
Embodiment 5
The third threshold value, the 4th threshold value include multiple selectable value;The strong Xanthophyll cycle method of video camera based on histogram is also Include the steps that selecting third threshold value, the 4th threshold value from multiple selectable value.
The setting of threshold value is one of emphasis of the art of this patent, if threshold value setting is relatively simple, be can be used, but also can There is the not strong feature of scene adaptability, i.e., it is possible that non-strong laser field scape is determined as strong laser field scape, and should be strong laser field scape, really It is determined as non-strong laser field scape again.
In this embodiment scheme, in order to improve degree of flexibility, the present embodiment is different to set by introducing grade thought Third threshold value, the 4th threshold value, that is to say, that the setting of third threshold value, the 4th threshold value all has dynamic, that is, allows according to difference The different threshold value of scene settings, according to the different threshold value of different resolution settings.It can be coped with as a result, without camera application Environment, such as the scene that has are possible to that street lamp is relatively more, and some scene street lamps are fewer, and third threshold value, the 4th threshold value include more A selectable value constitutes multiple adjustment ranks, such as grade is divided into 16 grades in a kind of mode, and thus user can basis The installation scenario of actual video camera voluntarily selects different grades, to set different third threshold values, the 4th threshold value.
Embodiment 6
In the step S321, bright block judgement is carried out by one or more of mode:
1) judge in the statistics with histogram information of each block of current shooting picture whether is pixel according to first threshold For bright spot, it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
2) the statistics with histogram information of each block of current shooting picture is subjected to segmentation statistics according to BIN threshold value, obtained To bright spot accounting, bright spot accounting is more than that the 6th threshold value is bright block;
3) count current shooting picture overall brightness mean value then calculate separately each block of current shooting picture with The departure degree of overall brightness mean value, surpassing the 7th threshold value for departure degree is bright block.
Embodiment 7
The bright block differentiates that sub-process specifically includes step:
S320) with shooting picture by the corresponding two-dimensional array of grid dividing piecemeal, initialization of two-dimensional array number is 0 for setting;
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Correspondence in two-dimensional array is judged as that bright block position is assigned a value of 1;
S323 the number that the adjacent bright block of each bright block is 1) is counted;
S324) if in two bit arrays 1 number be more than the 8th threshold value if reduce third threshold value, the 4th threshold value to increasing suppression Otherwise processing procedure degree increases third threshold value, the 4th threshold value to reduce inhibition strength.
The technical solution of the present embodiment, precisely in order to supervisor's impression of matching people, designed a set of utilization connected domain is thought Want that carrying out light inhibits adjustment.Its principle is adaptively to adjust bright block threshold value using the connected domain of bright block.From the master of people Perception is by for, when the bright block dispersion and the difference of intensity of picture, the readability of license plate and the subjectivity of people Feel all to be different, when bright block is more dispersed, the degree of strong Xanthophyll cycle is weaker, and works as the bright block of picture When comparing concentration, the inhibition strength of car light is just eager to excel.So the judgment threshold of bright block should be with the dispersion of bright block Different settings is carried out with intensity, when counting picture bright block, by setting a two dimension corresponding with 255 blocks Array is 0 when array initializes, when judging the block for bright block, corresponding two-dimensional array position is assigned a value of 1, after 255 block scans are completed, by each piece of 8 neighborhoods of statistics, see that its 8 neighborhood intermediate value is 1 number, to go to sentence The intensity of disconnected bright block, when intensity is relatively high, the inhibition level of car light at this time is accordingly strong, on the contrary Want weaker.
Mode one: mainly utilizing the statistics with histogram information of camera review, by the exposure mesh for removing control video camera Scale value, to achieve the purpose that inhibit car light.
The present invention also provides a kind of strong Xanthophyll cycle devices of video camera based on histogram, including
Division module, for shooting picture to be pressed grid dividing piecemeal;
Preferably, entire picture can be divided into 255 fritters for the judgement of the subsequent bright block of quota.
Current preserving module, for being original histogram statistics letter by the statistics with histogram information preservation of current shooting picture Breath, then goes to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, pixel in the statistics with histogram information for judging current shooting picture according to first threshold Whether it is bright spot, then goes to bright spot statistic unit;
Bright spot statistic unit, for counting bright spot quantity;
In a kind of mode, the judgement of bright spot can be based on 256 sections of statistics with histogram information, count in picture greater than a certain The bright spot number of threshold value is judged as bright spot.
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block, then goes to bright block according to second threshold Statistic unit;
Bright block statistic unit, for counting bright block quantity;
Light bright spot is to determine whether have the strong light of car light not accurate enough, because video camera will appear greatly when night The noise of amount, noise can seriously affect the statistics of bright spot, so second can benefit other than using this feature of bright spot Feature is exactly bright block, then by 255 blocks divided in example before scan round, count belong in this 255 blocks it is bright The number of block.
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than Bright block quantity is more than that the 4th threshold value then goes to adjustment module to third threshold value simultaneously, if bright spot quantity is less than third threshold value bright block simultaneously Quantity then goes to callback module less than the 4th threshold value, if bright spot quantity is equal to third threshold value, bright block quantity is equal to the 4th threshold value simultaneously Then go back to current preserving module;
Only when in picture bright block and bright spot all reached a certain threshold value when judge whether the block belongs to bright block, it is bright Point, bright block reach threshold value and picture are just judged as strong laser field scape, to open subsequent strong Xanthophyll cycle.
It adjusts module and then goes back to discrimination module for adjusting the exposure value of video camera;
After scene is judged as strong laser field scape, this module begins to carry out strong Xanthophyll cycle by adjusting camera exposure value.
Callback module enters general mode for switching video camera, then goes back to current preserving module.
In conclusion the statistical information provided by the invention based on histogram to realize to light strong in camera picture oneself It is dynamic to identify and inhibit, it can effectively inhibit the scenes application such as strong light of car light in video camera shooting process, make its outside strong light His information, as license plate clearly reveals.In addition, the discovery that camera views can detect automatically is simultaneously under strong light Disappearance Scenarios It is restored to normal scene, can be greatly improved the accurate of the candid photograph and identification for meeting the concern information of picture in strong light situation by chance Rate, while not influencing the normal use of video camera again.
The technology of the present invention meets the inhibition of strong light situation by chance suitable for all kinds of video camera shooting process, especially suitable for camera shooting Machine is shot under the strong light of vehicle car light, the identification to license plate.In addition, in order to more preferably carry out the candid photograph and identification of license plate, in car light During strong Xanthophyll cycle, also by utilizing image enhancement technique, Lai Zengqiang license plate effect facilitates video camera to carry out characters on license plate Identification, license plate image enhancing mainly using histogram equalization technology, can be very well to license plate portion using the technology Divide and promoted, while being also able to suppress the car light halation of a part.
Mode one mainly realizes two kinds of functions, and first is exactly to be able to suppress car light when car light occurs, and keeps license plate aobvious Expose, second is exactly when car light disappears, and picture can be returned to normal condition, and the inhibition strength of car light is also wanted Can be according to how much automatic adjustments of car light, that is, when car light is fewer in picture, the inhibition of car light wants weak, and works as When occurring multiple car lights in picture, the inhibition of car light is just eager to excel at this time, and car light inhibition strength can also basis The difference of scene, the difference of client's personal preference, the autonomous inhibition strength for selecting car light.
When necessary, switching module day and night can be increased before current preserving module, for judging that present filming scene is Daytime state or night state, Yu Baitian state or night state be correspondingly arranged third threshold value, the 4th threshold value.
Increase this step purpose and inhibiting beginning initial stage, first has to distinguish the scene to daytime and night, because On daytime, when sunlight is extremely strong, picture is captured from video camera, the identification of license plate is also not very high, so Daytime and night will treat with a certain discrimination.The differentiation at daytime and night mainly utilizes the gain of video camera and the letter of dim spot and phaeodium Current scene after gain, dim spot and phaeodium are more than certain certain range, is just determined as night shape to be judged by breath State, day and night separate to be handled, and the processing method at daytime and night is roughly the same, only third threshold value, the 4th threshold value Difference.
Embodiment 8
In the adjustment module, the exposure value of video camera is adjusted according to the first step-length, then goes back to discrimination module;Described time It is adjusted back in mode transfer block according to the long exposure value for carrying out video camera of second step, then goes back to current preserving module;First step-length With the second step-length according to bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic change, if difference is got over Greatly, then the first step-length and the second step-length are bigger.
Current strong light path is learnt by bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference as a result, Degree, and dynamic first step-length and the second step-length can then change the fast velocity modulation for reaching adaptation strong light environment according to strong light path degree dynamic Whole purpose.
The present embodiment is set dynamically by the adjusting step to exposure target value, i.e., according to the strong light path degree of picture come Different step-lengths is set, is also avoided that picture flashes in this way, by the deviation for calculating current bright spot and bright block value and threshold value Degree, to set different adjusting steps, when departure degree is big, adjusting step is big, and car light inhibitory effect is fast, works as deviation Degree is smaller, and both when picture relatively ideal scenario, adjusting step at this time is small, and design is in addition to comparing contract in this way It closes except actual use, can also prevent picture from flashing concussion occur.
Embodiment 9
The third threshold value, the 4th threshold value include multiple selectable value;The strong Xanthophyll cycle device of video camera based on histogram is also Including threshold value selecting module, for selecting third threshold value, the 4th threshold value from multiple selectable value.
The setting of threshold value is one of emphasis of the art of this patent, if threshold value setting is relatively simple, be can be used, but also can There is the not strong feature of scene adaptability, i.e., it is possible that non-strong laser field scape is determined as strong laser field scape, and should be strong laser field scape, really It is determined as non-strong laser field scape again.
Embodiment 10
The bright block judgement unit, including following one or more subelements:
First bright block differentiates subelement, the histogram of each block for judging current shooting picture according to first threshold Whether pixel is bright spot in statistical information, and it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
Second bright block differentiate subelement, for by the statistics with histogram information of each block of current shooting picture according to BIN threshold value carries out segmentation statistics, obtains bright spot accounting, and bright spot accounting is more than that the 6th threshold value is bright block;
Third bright block differentiates subelement, and the overall brightness mean value for counting current shooting picture then calculates separately currently Each block of shooting picture and the departure degree of overall brightness mean value, surpassing the 7th threshold value for departure degree is bright block.
Embodiment 11
The bright block judgement unit specifically includes:
Array establishes unit, presses the corresponding two-dimensional array of grid dividing piecemeal, two-dimensional array with shooting picture for setting Initializing number is 0, is then gone to;
Bright block judgement unit, for judging whether the block of current shooting picture is bright block, is then gone to according to second threshold Bright block statistic unit;
Bright block statistic unit, for counting bright block quantity and correspondence in two-dimensional array being judged as that bright block position is assigned a value of 1, then go to array statistic unit;
Array statistic unit, the number for being 1 for counting the adjacent bright block of each bright block, then goes to threshold adjustment unit;
Threshold adjustment unit, for being more than that the 8th threshold value then reduces third threshold value, the 4th threshold when in two bit arrays 1 number Otherwise value increases third threshold value, the 4th threshold value.
The technical solution of the present embodiment, precisely in order to supervisor's impression of matching people, designed a set of utilization connected domain is thought Want that carrying out light inhibits adjustment.Its principle is adaptively to adjust bright block threshold value using the connected domain of bright block.From the master of people Perception is by for, when the bright block dispersion and the difference of intensity of picture, the readability of license plate and the subjectivity of people Feel all to be different, when bright block is more dispersed, the degree of strong Xanthophyll cycle is weaker, and works as the bright block of picture When comparing concentration, the inhibition strength of car light is just eager to excel.So the judgment threshold of bright block should be with the dispersion of bright block Different settings is carried out with intensity, when counting picture bright block, by setting a two dimension corresponding with 255 blocks Array is 0 when array initializes, when judging the block for bright block, corresponding two-dimensional array position is assigned a value of 1, after 255 block scans are completed, by each piece of 8 neighborhoods of statistics, see that its 8 neighborhood intermediate value is 1 number, to go to sentence The intensity of disconnected bright block, when intensity is relatively high, the inhibition level of car light at this time is accordingly strong, on the contrary Want weaker.
In order to preferably adapt to different scenes, the present invention also provides strong light (the especially car lights of another mode Qiang Guang) inhibit strategy, when video camera is mounted on cell doorway or underground parking when thering is car light to occur, by force Light is mainly distributed on specific position in picture, similar to video camera scene outdoor in terms of interior, so the design passes through utilization Wide dynamic function possessed by video camera itself is opened that is, when having car light to adapt to the scene of cell or underground parking The wide dynamic function of video camera is opened, and when car light disappears, the wide dynamic of video camera is closed, because in normal scene such as If fruit opens wide dynamic, entire picture has the phenomenon that getting confused, so to close wide dynamic function in normal scene.
Mode two: mainly dynamically being switched by control camera shooting machine width, to achieve the purpose that inhibit car light.
The present invention provides a kind of strong Xanthophyll cycle device of the video camera based on histogram, including step again,
Division module, for shooting picture to be pressed grid dividing piecemeal;
Preferably, entire picture can be divided into 255 fritters for the judgement of the subsequent bright block of quota.
Current preserving module, for being original histogram statistics letter by the statistics with histogram information preservation of current shooting picture Breath, then goes to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, pixel in the statistics with histogram information for judging current shooting picture according to first threshold Whether it is bright spot, then goes to bright spot statistic unit;
In a kind of mode, the judgement of bright spot can be based on 256 sections of statistics with histogram information, count in picture greater than a certain The bright spot number of threshold value is judged as bright spot.
Bright spot statistic unit, for counting bright spot quantity;
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block, then goes to bright block according to second threshold Statistic unit;
Bright block statistic unit, for counting bright block quantity;
Light bright spot is to determine whether have the strong light of car light not accurate enough, because video camera will appear greatly when night The noise of amount, noise can seriously affect the statistics of bright spot, so second can benefit other than using this feature of bright spot Feature is exactly bright block, then by 255 blocks divided in example before scan round, count belong in this 255 blocks it is bright The number of block.
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than Bright block quantity is more than that the 4th threshold value then goes to adjustment module to third threshold value simultaneously, if bright spot quantity is less than third threshold value bright block simultaneously Quantity then goes to callback module less than the 4th threshold value, if bright spot quantity is equal to third threshold value, bright block quantity is equal to the 4th threshold value simultaneously Then go back to current preserving module;
Module is adjusted, enters wide dynamic mode for switching video camera, then goes back to discrimination module;
After scene is judged as strong laser field scape, this step begins to carry out strong Xanthophyll cycle by adjusting camera exposure value.
Callback module enters general mode for switching video camera, then goes back to current preserving module.
In conclusion the statistical information provided by the invention based on histogram to realize to light strong in camera picture oneself It is dynamic to identify and inhibit, it can effectively inhibit the scenes application such as strong light of car light in video camera shooting process, make its outside strong light His information, as license plate clearly reveals.In addition, the discovery that camera views can detect automatically is simultaneously under strong light Disappearance Scenarios It is restored to normal scene, can be greatly improved the accurate of the candid photograph and identification for meeting the concern information of picture in strong light situation by chance Rate, while not influencing the normal use of video camera again.
The technology of the present invention meets the inhibition of strong light situation by chance suitable for all kinds of video camera shooting process, especially suitable for camera shooting Machine is shot under the strong light of vehicle car light, the identification to license plate.In addition, in order to more preferably carry out the candid photograph and identification of license plate, in car light During strong Xanthophyll cycle, also by utilizing image enhancement technique, Lai Zengqiang license plate effect facilitates video camera to carry out characters on license plate Identification, license plate image enhancing mainly using histogram equalization technology, can be very well to license plate portion using the technology Divide and promoted, while being also able to suppress the car light halation of a part.
When necessary, switching module day and night can be increased before current preserving module, for judging that present filming scene is Daytime state or night state, Yu Baitian state or night state be correspondingly arranged third threshold value, the 4th threshold value.
Increase this step purpose and inhibiting beginning initial stage, first has to distinguish the scene to daytime and night, because On daytime, when sunlight is extremely strong, picture is captured from video camera, the identification of license plate is also not very high, so Daytime and night will treat with a certain discrimination.The differentiation at daytime and night mainly utilizes the gain of video camera and the letter of dim spot and phaeodium Current scene after gain, dim spot and phaeodium are more than certain certain range, is just determined as night shape to be judged by breath State, day and night separate to be handled, and the processing method at daytime and night is roughly the same, only third threshold value, the 4th threshold value Difference.
Embodiment 12
In the adjustment module, the exposure value of video camera is adjusted according to the first step-length, then goes back to discrimination module;Described time It is adjusted back in mode transfer block according to the long exposure value for carrying out video camera of second step, then goes back to current preserving module;First step-length With the second step-length according to bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic change, if difference is got over Greatly, then the first step-length and the second step-length are bigger.
Current strong light path is learnt by bright spot quantity and third threshold difference and bright block quantity and the 4th threshold difference as a result, Degree, and dynamic first step-length and the second step-length can then change the fast velocity modulation for reaching adaptation strong light environment according to strong light path degree dynamic Whole purpose.
The present embodiment is set dynamically by the adjusting step to exposure target value, i.e., according to the strong light path degree of picture come Different step-lengths is set, is also avoided that picture flashes in this way, by the deviation for calculating current bright spot and bright block value and threshold value Degree, to set different adjusting steps, when departure degree is big, adjusting step is big, and car light inhibitory effect is fast, works as deviation Degree is smaller, and both when picture relatively ideal scenario, adjusting step at this time is small, and design is in addition to comparing contract in this way It closes except actual use, can also prevent picture from flashing concussion occur.
Embodiment 13
The third threshold value, the 4th threshold value include multiple selectable value;The strong Xanthophyll cycle device of video camera based on histogram is also Including threshold value selecting module, for selecting third threshold value, the 4th threshold value from multiple selectable value.
The setting of threshold value is one of emphasis of the art of this patent, if threshold value setting is relatively simple, be can be used, but also can There is the not strong feature of scene adaptability, i.e., it is possible that non-strong laser field scape is determined as strong laser field scape, and should be strong laser field scape, really It is determined as non-strong laser field scape again.
Embodiment 14
The bright block judgement unit, including following one or more subelements:
First bright block differentiates subelement, the histogram of each block for judging current shooting picture according to first threshold Whether pixel is bright spot in statistical information, and it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
Second bright block differentiate subelement, for by the statistics with histogram information of each block of current shooting picture according to BIN threshold value carries out segmentation statistics, obtains bright spot accounting, and bright spot accounting is more than that the 6th threshold value is bright block;
Third bright block differentiates subelement, and the overall brightness mean value for counting current shooting picture then calculates separately currently Each block of shooting picture and the departure degree of overall brightness mean value, surpassing the 7th threshold value for departure degree is bright block.
Embodiment 15
The bright block judgement unit specifically includes:
Array establishes unit, presses the corresponding two-dimensional array of grid dividing piecemeal, two-dimensional array with shooting picture for setting Initializing number is 0, is then gone to;
Bright block judgement unit, for judging whether the block of current shooting picture is bright block, is then gone to according to second threshold Bright block statistic unit;
Bright block statistic unit, for counting bright block quantity and correspondence in two-dimensional array being judged as that bright block position is assigned a value of 1, then go to array statistic unit;
Array statistic unit, the number for being 1 for counting the adjacent bright block of each bright block, then goes to threshold adjustment unit;
Threshold adjustment unit, for being more than that the 8th threshold value then reduces third threshold value, the 4th threshold when in two bit arrays 1 number Otherwise value increases third threshold value, the 4th threshold value.
The technical solution of the present embodiment, precisely in order to supervisor's impression of matching people, designed a set of utilization connected domain is thought Want that carrying out light inhibits adjustment.Its principle is adaptively to adjust bright block threshold value using the connected domain of bright block.From the master of people Perception is by for, when the bright block dispersion and the difference of intensity of picture, the readability of license plate and the subjectivity of people Feel all to be different, when bright block is more dispersed, the degree of strong Xanthophyll cycle is weaker, and works as the bright block of picture When comparing concentration, the inhibition strength of car light is just eager to excel.So the judgment threshold of bright block should be with the dispersion of bright block Different settings is carried out with intensity, when counting picture bright block, by setting a two dimension corresponding with 255 blocks Array is 0 when array initializes, when judging the block for bright block, corresponding two-dimensional array position is assigned a value of 1, after 255 block scans are completed, by each piece of 8 neighborhoods of statistics, see that its 8 neighborhood intermediate value is 1 number, to go to sentence The intensity of disconnected bright block, when intensity is relatively high, the inhibition level of car light at this time is accordingly strong, on the contrary Want weaker.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, such as in this patent First, second ... only represents the differentiation of its title, does not represent their significance level and position and has what difference.Therefore, all It is to be applied directly or indirectly in it using equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content His relevant technical field, is included within the scope of the present invention.

Claims (10)

1. a kind of strong Xanthophyll cycle method of video camera based on histogram, it is characterised in that: including step,
Shooting picture is pressed into grid dividing piecemeal;
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is bright simultaneously Number of blocks is more than that the 4th threshold value then continues step, if bright spot quantity is less than third threshold value while bright block quantity less than the 4th threshold value Step S6 is gone to, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
S5 the exposure value for) adjusting video camera, then goes back to step S3;
S6) the exposure value readjustment of video camera, then goes back to step S2.
2. the strong Xanthophyll cycle method of video camera as described in claim 1 based on histogram, it is characterised in that: the step S5 In, the exposure value of video camera is adjusted according to the first step-length, then goes back to step S3;First step-length is with the second step-length according to bright Point quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic change, if difference is bigger, the first step-length with Second step-length is bigger.
3. a kind of strong Xanthophyll cycle method of video camera based on histogram, it is characterised in that: including step,
Shooting picture is pressed into grid dividing piecemeal;
It S2 is) original histogram statistical information by the statistics with histogram information preservation of current shooting picture;
S3 it) executes bright spot and differentiates that sub-process, bright block differentiate sub-process;
The bright spot differentiate sub-process comprising steps of
S311) judge whether pixel is bright spot in the statistics with histogram information of current shooting picture according to first threshold;
S312 bright spot quantity) is counted;
The bright block differentiate sub-process comprising steps of
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
S4) compare bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than that third threshold value is bright simultaneously Number of blocks is more than that the 4th threshold value then continues step, if bright spot quantity is less than third threshold value while bright block quantity less than the 4th threshold value Step S6 is gone to, is equal to third threshold value if bright spot quantity and goes back to step S2 if bright block quantity is equal to the 4th threshold value simultaneously;
S5) switching video camera enters wide dynamic mode, then goes back to step S3;
S6) switching video camera enters general mode, then goes back to step S2.
4. the strong Xanthophyll cycle method of the video camera as claimed in any one of claims 1-3 based on histogram, it is characterised in that: institute State third threshold value, the 4th threshold value includes multiple selectable value;The strong Xanthophyll cycle method of video camera based on histogram further includes from multiple Selectable value selectes the step of third threshold value, four threshold values.
5. the strong Xanthophyll cycle method of the video camera as claimed in any one of claims 1-3 based on histogram, it is characterised in that: institute It states in step S321, bright block judgement is carried out by one or more of mode:
1) judge whether pixel is bright in the statistics with histogram information of each block of current shooting picture according to first threshold Point, it is bright block that statistics bright spot number, which is more than the 5th threshold value,;
2) the statistics with histogram information of each block of current shooting picture is subjected to segmentation statistics according to BIN threshold value, obtained bright Point accounting, bright spot accounting is more than that the 6th threshold value is bright block;
3) the overall brightness mean value for counting current shooting picture then calculates separately each block and entirety of current shooting picture The departure degree of luminance mean value, surpassing the 7th threshold value for departure degree is bright block.
6. the strong Xanthophyll cycle method of the video camera as claimed in any one of claims 1-3 based on histogram, it is characterised in that: institute It states bright block and differentiates that sub-process specifically includes step:
S320) with shooting picture by the corresponding two-dimensional array of grid dividing piecemeal, initialization of two-dimensional array number is 0 for setting;
S321) judge whether the block of current shooting picture is bright block according to second threshold;
S322 bright block quantity) is counted;
Correspondence in two-dimensional array is judged as that bright block position is assigned a value of 1;
S323 the number that the adjacent bright block of each bright block is 1) is counted;
S324) if in two bit arrays 1 number be more than the 8th threshold value if reduce third threshold value, the 4th threshold value, otherwise increase third Threshold value, the 4th threshold value.
7. a kind of strong Xanthophyll cycle device of video camera based on histogram, it is characterised in that: including
Division module, for shooting picture to be pressed grid dividing piecemeal;
Current preserving module, for being original histogram statistical information by the statistics with histogram information preservation of current shooting picture, Then go to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, whether pixel in the statistics with histogram information for judging current shooting picture according to first threshold For bright spot, bright spot statistic unit is then gone to;
Bright spot statistic unit, for counting bright spot quantity;
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block according to second threshold, then goes to bright block statistics Unit;
Bright block statistic unit, for counting bright block quantity;
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than third Bright block quantity is more than that the 4th threshold value then goes to adjustment module to threshold value simultaneously, if bright spot quantity is less than third threshold value bright block quantity simultaneously Callback module is then gone to less than the 4th threshold value, is equal to third threshold value if bright spot quantity and turns if bright block quantity is equal to the 4th threshold value simultaneously Return current preserving module;
It adjusts module and then goes back to discrimination module for adjusting the exposure value of video camera;
Callback module enters general mode for switching video camera, then goes back to current preserving module.
8. the strong Xanthophyll cycle device of video camera as claimed in claim 7 based on histogram, it is characterised in that: the step S5 In, the exposure value of video camera is adjusted according to the first step-length, then goes back to step S3;First step-length is with the second step-length according to bright Point quantity and third threshold difference and bright block quantity and the 4th threshold difference dynamic change, if difference is bigger, the first step-length with Second step-length is bigger.
9. a kind of strong Xanthophyll cycle device of video camera based on histogram, it is characterised in that: including step,
Division module, for shooting picture to be pressed grid dividing piecemeal;
Current preserving module, for being original histogram statistical information by the statistics with histogram information preservation of current shooting picture, Then go to discrimination module;
Discrimination module, including bright spot differentiate that submodule and bright block differentiate submodule, then go to comparison module;
The bright spot differentiates that submodule includes:
Bright spot judgement unit, whether pixel in the statistics with histogram information for judging current shooting picture according to first threshold For bright spot, bright spot statistic unit is then gone to;
Bright spot statistic unit, for counting bright spot quantity;
The bright block differentiates that submodule includes:
Bright block judgement unit judges whether the block of current shooting picture is bright block according to second threshold, then goes to bright block statistics Unit;
Bright block statistic unit, for counting bright block quantity;
Comparison module, for comparing bright spot quantity and third threshold value, bright block quantity and the 4th threshold value, if bright spot quantity is more than third Bright block quantity is more than that the 4th threshold value then goes to adjustment module to threshold value simultaneously, if bright spot quantity is less than third threshold value bright block quantity simultaneously Callback module is then gone to less than the 4th threshold value, is equal to third threshold value if bright spot quantity and turns if bright block quantity is equal to the 4th threshold value simultaneously Return current preserving module;
Module is adjusted, enters wide dynamic mode for switching video camera, then goes back to discrimination module;
Callback module enters general mode for switching video camera, then goes back to current preserving module.
10. the strong Xanthophyll cycle device of the video camera based on histogram as described in claim 6-9 any one, it is characterised in that: The bright block judgement unit specifically includes:
Array establishes unit, presses the corresponding two-dimensional array of grid dividing piecemeal with shooting picture for setting, two-dimensional array is initial Changing number is 0, is then gone to;
Bright block judgement unit, for judging whether the block of current shooting picture is bright block, then goes to bright block according to second threshold Statistic unit;
Bright block statistic unit, for counting bright block quantity and corresponding in two-dimensional array will be judged as that bright block position is assigned a value of 1, and After go to array statistic unit;
Array statistic unit, the number for being 1 for counting the adjacent bright block of each bright block, then goes to threshold adjustment unit;
Threshold adjustment unit, for being more than that the 8th threshold value then reduces third threshold value, the 4th threshold value when in two bit arrays 1 number, Otherwise increase third threshold value, the 4th threshold value.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113014912A (en) * 2019-12-19 2021-06-22 合肥君正科技有限公司 Method for detecting direct projection of strong light source of monitoring camera in vehicle
CN117835053A (en) * 2024-03-04 2024-04-05 杭州海康威视数字技术股份有限公司 Switching method and device of wide dynamic mode

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11275454A (en) * 1998-03-23 1999-10-08 Ricoh Co Ltd Digital video camera
CN101127835A (en) * 2007-09-27 2008-02-20 中兴通讯股份有限公司 A pre-processing method and device for improving video image quality of digital video camera
KR100839093B1 (en) * 2007-01-31 2008-06-19 한국과학기술원 Method and apparatus for measuring luminance and hue
CN101340523A (en) * 2008-08-14 2009-01-07 北京中星微电子有限公司 Method and apparatus for exposure compensating digital image
CN101783963A (en) * 2010-02-10 2010-07-21 西安理工大学 Nighttime image enhancing method with highlight inhibition
CN102801918A (en) * 2011-05-24 2012-11-28 佳能株式会社 Image pickup apparatus and method of controlling the image pickup apparatus
CN103458194A (en) * 2013-08-28 2013-12-18 中国科学院深圳先进技术研究院 Method and device for analyzing exposure degree of digital image and video and digital imaging system
CN103780845A (en) * 2014-02-28 2014-05-07 金三立视频科技(深圳)有限公司 Method and device for strong light inhibition on basis of non-wide-dynamic function
CN103826066A (en) * 2014-02-26 2014-05-28 芯原微电子(上海)有限公司 Automatic exposure adjusting method and system
CN105554414A (en) * 2015-12-15 2016-05-04 浙江宇视科技有限公司 Strong light inhibition method and device

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11275454A (en) * 1998-03-23 1999-10-08 Ricoh Co Ltd Digital video camera
KR100839093B1 (en) * 2007-01-31 2008-06-19 한국과학기술원 Method and apparatus for measuring luminance and hue
CN101127835A (en) * 2007-09-27 2008-02-20 中兴通讯股份有限公司 A pre-processing method and device for improving video image quality of digital video camera
CN101340523A (en) * 2008-08-14 2009-01-07 北京中星微电子有限公司 Method and apparatus for exposure compensating digital image
CN101783963A (en) * 2010-02-10 2010-07-21 西安理工大学 Nighttime image enhancing method with highlight inhibition
CN102801918A (en) * 2011-05-24 2012-11-28 佳能株式会社 Image pickup apparatus and method of controlling the image pickup apparatus
CN103458194A (en) * 2013-08-28 2013-12-18 中国科学院深圳先进技术研究院 Method and device for analyzing exposure degree of digital image and video and digital imaging system
CN103826066A (en) * 2014-02-26 2014-05-28 芯原微电子(上海)有限公司 Automatic exposure adjusting method and system
CN103780845A (en) * 2014-02-28 2014-05-07 金三立视频科技(深圳)有限公司 Method and device for strong light inhibition on basis of non-wide-dynamic function
CN105554414A (en) * 2015-12-15 2016-05-04 浙江宇视科技有限公司 Strong light inhibition method and device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113014912A (en) * 2019-12-19 2021-06-22 合肥君正科技有限公司 Method for detecting direct projection of strong light source of monitoring camera in vehicle
CN117835053A (en) * 2024-03-04 2024-04-05 杭州海康威视数字技术股份有限公司 Switching method and device of wide dynamic mode
CN117835053B (en) * 2024-03-04 2024-06-04 杭州海康威视数字技术股份有限公司 Switching method and device of wide dynamic mode

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