CN108668088A - Sense image formation control method and device - Google Patents
Sense image formation control method and device Download PDFInfo
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- CN108668088A CN108668088A CN201710215021.9A CN201710215021A CN108668088A CN 108668088 A CN108668088 A CN 108668088A CN 201710215021 A CN201710215021 A CN 201710215021A CN 108668088 A CN108668088 A CN 108668088A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
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Abstract
The present embodiments relate to a kind of sensing image formation control method and device, the sensing image formation control method includes：Determine the first exposure parameter；It is exposed according to first exposure parameter, obtains initial image information；The initial image information is handled, determines the image background parameter of initial pictures, and determines the image background parameter of saturation of initial pictures according to described image context parameter；Average background parameter of saturation is determined according to described image background parameter of saturation；Image optimum contrast is determined according to the average background parameter of saturation；The second exposure parameter is determined according to described image optimum contrast and first exposure parameter；It is exposed according to second exposure parameter, obtains optimization image information.Independent of fixed lighting condition, processing procedure is automatic, can adjust picture quality by controlling exposure parameter under different lighting environments for sensing image formation control method and device provided in an embodiment of the present invention.
Description
Technical field
The present invention relates to image recognition processing apparatus field more particularly to a kind of sensing image formation control methods and device.
Background technology
Along with the rapid development of information technology, people are also more modern to the processing of information and the requirement of circulation way
Change, people are more biased towards in producing, handle, exchange and propagate various forms of information by computer, conventional information exchange and
Communication mode cannot be satisfied the needs that modern propagates information.
Image recognition technology is that computer handles image, analyzed and understood, to identify target and to the technology of picture.
Wherein, image sensing technology is a key areas in image recognition technology, it is developed on the basis of photoelectric technology
Come, using light-electrotransformation function of photoelectric device, the optical signal on its photosurface is converted to optical signal into corresponding ratio
A special kind of skill of the electric signal " image " of example relationship.
In the above-described techniques, the same content on photosurface can generate not because of the difference for the light that photosurface is reflected
Same optical signal, to influence the identification of content on photosurface.Such as sunlight or the different photosensitive material of reflectivity can all influence
Reflection of the light on photosurface.This difference is difficult or to be connected to imaging sensor by adjusting imaging sensor itself
Image processing circuit carries out complete compensation deals, causes image recognition effect poor, and cannot obtain best picture quality.
Invention content
The object of the present invention is to provide a kind of sensing image formation control method and device, can under different lighting environments,
Picture quality is adjusted by controlling exposure parameter, that is, realizes a kind of self-optimizing of imaging control, that is, obtain according to previous exposure
To image information adjustment is optimized to exposure parameter next time, to ensure that the figure obtained in the current lighting condition
As the quality of information.
To achieve the above object, described in a first aspect, an embodiment of the present invention provides a kind of sensing image formation control method
Method includes：
Determine the first exposure parameter；
It is exposed according to the first exposure parameter, obtains initial image information；
Initial image information is handled, determines the image background parameter of initial pictures, and according to image background parameter
Determine the image background parameter of saturation of initial pictures in initial image information；
Average background parameter of saturation is determined according to image background parameter of saturation；
Image optimum contrast is determined according to average background parameter of saturation；
The second exposure parameter is determined according to image optimum contrast and the first exposure parameter；
It is exposed according to the second exposure parameter, obtains optimization image information.
Preferably, exposure parameter specifically includes：Time for exposure and/or light intensity parameter.
Preferably, determine that image optimum contrast specifically includes according to average background parameter of saturation：
According to initial image information, at least one of identification initial pictures target image, and confirm the back of the body of target image
Scape parameter；
The background parameter of saturation of target image is determined according to the context parameter of target image；
Image optimum contrast is determined according to the background parameter of saturation of target image and average background parameter of saturation.
Preferably, determine that image optimum contrast specifically includes according to average background parameter of saturation：
Obtain the background parameter of saturation of goal-selling image；
Image optimum contrast is determined according to the background parameter of saturation of goal-selling image and average background parameter of saturation.
Preferably, determine that image optimum contrast is specially according to average background parameter of saturation：
According to average background parameter of saturation and default adjusting parameter, image optimum contrast is obtained.
In second aspect, an embodiment of the present invention provides a kind of note taking devices, including：
Exposure parameter determination unit, for determining the first exposure parameter；
Image acquisition units obtain initial image information for being exposed according to the first exposure parameter；
Image processing unit determines the image background parameter of initial pictures for handling initial image information, and
The image background parameter of saturation of initial pictures in initial image information is determined according to initial pictures context parameter；
Computing unit, it is full according to average background for determining average background parameter of saturation according to image background parameter of saturation
Image optimum contrast is determined with parameter, and determines that the second exposure is joined according to image optimum contrast and the first exposure parameter
Number；
Output unit, for being exposed according to the second exposure parameter, to obtain optimization figure by image acquisition units
As information.
Preferably, exposure parameter specifically includes：Time for exposure and/or light intensity parameter.
Preferably, computing unit specifically includes：
Subelement is identified, for according to initial image information, identifying at least one of initial pictures target image, and really
Recognize the context parameter of target；
Determination subelement determines the background parameter of saturation of target image according to the context parameter of target image；
Computation subunit, for according to the background parameter of saturation of target image and the average background parameter of saturation of target image
Determine image optimum contrast.
Preferably, computing unit specifically includes：
Obtain subelement, the background parameter of saturation for obtaining goal-selling image；
Computation subunit determines image most according to the background parameter of saturation of goal-selling image and average background parameter of saturation
Good contrast.
Preferably, computing unit is specifically used for：According to average background parameter of saturation and default adjusting parameter, image is obtained most
Good contrast.
Sensing image formation control method and device provided in an embodiment of the present invention, can pass through under different lighting environments
It controls exposure parameter and adjusts picture quality, that is, realize a kind of self-optimizing of imaging control, that is, obtained according to previous exposure
Image information optimizes adjustment to exposure parameter next time, to ensure that the image obtained in the current lighting condition letter
The quality of breath.
Description of the drawings
Fig. 1 is the flow chart of sensing image formation control method provided in an embodiment of the present invention；
Fig. 2 is the comparison between the background image and target image of sensing image formation control method provided in an embodiment of the present invention
The schematic diagram of degree；
Fig. 3 is the schematic diagram of sensing imaging control apparatus provided in an embodiment of the present invention.
Specific implementation mode
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
For a better understanding of the technical solution of the present invention, firstly for sensing image formation control method proposed by the present invention
Application scenarios are introduced.
The present invention sensing image formation control method, for coding pattern coding sheet, electronic writing plate or other
Movement notes on the coding pattern of substrate carry out image and are acquired, identify, by controlling the exposure of image, determining and optimizing
The image information acquire, recognized, so as to realize person's handwriting reduction and reproduction function.
For ease of statement, in the present invention by taking coding sheet as an example, for it is various can carry out substrate that coding pattern is shown into
Row system is stated.
The embodiment of the present invention provides firstly a kind of sensing image formation control method, is implemented in sensing imaging control apparatus,
Its method flow diagram is as shown in Figure 1, include the following steps：
Step 110, the first exposure parameter is determined；
Specifically, when executing the sensing image formation control method of the present invention, it is necessary first to carry out original image to coding sheet
Acquisition exposes the coding pattern on coding sheet that is, under a determining exposure parameter.It needs first to determine an exposure thus
Parameter.Sensing imaging control apparatus can determine a fixed preset value by the exposure parameter of default storage, can also be
A corresponding obtained exposure parameter according to the brightness of induction ambient enviroment.When the exposure parameter of the determination includes the first exposure
Between and the first illumination.
Step 120, image exposure is carried out according to the first exposure parameter, obtains initial image information；
Specifically, the code pattern that sensing imaging control apparatus is printed place coding sheet surface within the vision or shown
The first time for exposure determined according to preceding step when the writing surface that case is formed is write and the first illumination carry out first time exposure
Light obtains the image information of an initial pictures after exposing for the first time.Wherein, the image information of initial pictures includes background image
Information, i.e., the information of the coding pattern in one region.Coding pattern is construed as possessed mesh in the initial pictures
Logo image.
Wherein, it can be the writing for generating person's handwriting to write, and can also be the writing for not generating person's handwriting.
Exposure can be generated according to predeterminated frequency, by providing rational frequency so that the process of identifying the handwriting is had
The record of effect.
In a specific example, when sensing imaging control apparatus is exposed, it can be differentiated in 96 × 96 pixels
Under the conditions of rate, 8-b it gray level images are generated with the rate of 100 width image per second.
Step 130, initial image information is handled, determines the image background parameter of initial pictures, and according to image
Context parameter determines the image background parameter of saturation of initial pictures in initial image information；
Specifically, the initial pictures captured are carried out image fractionation and parsing by sensing imaging control apparatus, according to target
Image, i.e. coding pattern carry out image fractionation so that the image after fractionation includes the mesh of a small amount of quantity (can set quantity)
Logo image, and include background image.
It determines the highest luminance value of initial pictures and minimum illumination value after splitting, and region segmentation is carried out to initial pictures,
Smoothing computation is carried out according to highest luminance value and minimum illumination value, determines the image background saturation of each region image after segmentation
Parameter.
Step 140, average background parameter of saturation is determined according to described image background parameter of saturation；
Specifically, the image background parameter of saturation of each region image obtained according to above-mentioned steps determines initial pictures
Average background parameter of saturation.
By calculate initial pictures background parameter of saturation average value, as collected initial pictures central part
Background parameter of saturation, and carry out next processing using the average background parameter of saturation of initial pictures.It can thus keep away
Exempt from due to caused by exposure value different on entire initial pictures writing surface to calculating initial pictures background parameters of saturation
It influences, such as dark side may result in the inaccuracy of background information.
Step 150, image optimum contrast is determined according to average background parameter of saturation；
Specifically, the method for determining image optimum contrast can have it is at least following two.
Can be that initial graph is identified according to initial image information in the method for first determining image optimum contrast
At least one of picture target image, and confirm the context parameter of target image；Then true according to the context parameter of target image
Set the goal the background parameter of saturation of image；Finally determined according to the background parameter of saturation of target image and average background parameter of saturation
Image maximum-contrast.
Can be the background saturation for first obtaining goal-selling image in the method for second determining image optimum contrast
Parameter；Then image maximum-contrast is determined according to the background parameter of saturation of goal-selling image and average background parameter of saturation.
No matter which kind of above-mentioned method is used, in specific calculate, according to average background parameter of saturation and can preset
Adjusting parameter is modified image maximum-contrast, obtains image optimum contrast.
During realization at specific one, it can be illustrated in conjunction with schematic diagram shown in Fig. 2.
Fig. 2 is the comparison between the background image and target image of sensing image formation control method provided in an embodiment of the present invention
The schematic diagram of degree.
As shown in Fig. 2, background image is indicated by curve 21；Target image is indicated by curve 22；Contrast is by 23 table of curve
Show.The contrast of average background parameter of saturation and image is thought of as a linear function, it may be determined that maximum-contrast is always
It appears in the saturation point of background illumination, on after this point, contrast is begun to decline.But it is increased because of saturation non-linear
Factor, it is possible to determine that the point 24 of optimum contrast appears in position of the average image background saturation point to subsequent point.Therefore
A default adjusting parameter can be set according to calculating or empirical value, carried out between average background parameter of saturation and optimum contrast
The amendment of calculating.
Step 160, the second exposure parameter is determined according to image optimum contrast and the first exposure parameter；
Specifically, being stored with the setting data of image object exposure parameter in sensing imaging control apparatus.By current
Image optimum contrast and the first current exposure parameter can determine that second after the amount of being exposed adjustment exposes by calculating
Optical parameter makes the second exposure parameter more level off to the setting value of image object exposure parameter.When the adjustment of light exposure includes exposure
Between adjustment and/or exposure intensity adjustment.
Step 170, it is exposed according to the second exposure parameter, obtains optimization image information；
Specifically, according to the figure after the output optimization of the second exposure parameter in the output unit in sensing imaging control apparatus
As information.
Above step 120- steps 170 can be used as a cycle, by more frequently optimizing and revising processing, can make
Exposure parameter each time is closer to optimal exposure parameter, to obtain more high quality image information.
Sensing image formation control method provided in an embodiment of the present invention, independent of fixed lighting condition, processing procedure is
Automatically, picture quality can be adjusted by controlling exposure parameter under different lighting environments, that is, realizes a kind of imaging control
Self-optimizing, that is, the image information obtained according to previous exposure optimizes adjustment to exposure parameter next time, to
Realize that the image information obtained after adjustment is all that quality is highest in the current lighting condition.
Correspondingly, the embodiment of the present invention additionally provide it is a kind of to realize above-mentioned sensing image formation control method sensing imaging
Control device, schematic diagram is as shown in figure 3, sensing imaging control apparatus includes：
Exposure parameter determination unit 1, for determining the first exposure parameter.
Image acquisition units 2 are connect with exposure parameter determination unit 1.Image acquisition units 2 determine single according to exposure parameter
First 1 obtained first exposure parameter is exposed, and obtains initial image information.
Image processing unit 3 is connected with image acquisition units 2.Image processing unit 3 is handled in image acquisition units 2
Initial image information determines the image background parameter of initial pictures, and determines that initial pictures are believed according to initial pictures context parameter
The image background parameter of saturation of initial pictures in breath.
Computing unit 4 is connected with image processing unit.Computing unit 4 is according to the image background in image processing unit 3
Parameter of saturation determines average background parameter of saturation, and image optimum contrast, and root are determined further according to average background parameter of saturation
According to image optimum contrast and in exposure parameter determination unit 1, obtained first exposure parameter determines the second exposure parameter.
Specifically, in one embodiment, computing unit 4 includes：
It identifies subelement 41, is connected with image processing unit 3, according to the initial image information in computing unit 4, identification is just
At least one of beginning image target image, and confirm the background parameter of saturation of icon image.
Determination subelement 42 is connected with identification subelement 41, and the background of the target image in processing identification subelement 41 is full
And parameter, determine the average background parameter of saturation of target image.
Computation subunit 44 is connected with determination subelement 42 and identification subelement 41, and first, computation subunit 44 is according to knowledge
The background parameter of saturation of target image in small pin for the case unit 41 and the average background of the target image in determination subelement 42 saturation
Parameter determines image optimum contrast.Then, computation subunit 44 is according to image optimum contrast and exposure parameter determination unit 1
In the first exposure parameter determine the second exposure parameter.
In another embodiment, the background parameter of saturation of the target image in determination subelement 42 is preset.At this
Computing unit 4 includes in kind embodiment：
Subelement 43 is obtained, is connected with determination subelement 42, the background parameter of saturation for obtaining goal-selling image, and
Confirm the average background parameter of saturation of goal-selling image.
Computation subunit 44 is connected with acquisition subelement 43 and identification subelement 41.First, computation subunit 44 is according to obtaining
It takes the background parameter of saturation of the target image in subelement 41 and obtains the average background of the goal-selling image in subelement 43
Parameter of saturation determines image optimum contrast.Then computation subunit 44 determines single according to image optimum contrast and exposure parameter
The first exposure parameter in member 1 determines the second exposure parameter.
Output unit 5 is connected with computation subunit with 44, is exposed according to the second exposure parameter in computation subunit 44
Light, to obtain optimization image information by image acquisition units.
Image formation control method performed by the above modules and unit has carried out in above method embodiment in detail
It states, details are not described herein again.
Sensing image formation control method provided in an embodiment of the present invention, independent of fixed lighting condition, processing procedure is
Automatically, picture quality can be adjusted by controlling exposure parameter under different lighting environments, that is, realizes a kind of imaging control
Self-optimizing, that is, the image information obtained according to previous exposure optimizes adjustment to exposure parameter next time, to
Realize that the image information obtained after adjustment is all that quality is highest in the current lighting condition.And this required element of device
Cost is relatively low.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, depend on the specific application and design constraint of technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can use hardware, processor to execute
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific implementation mode has carried out further the purpose of the present invention, technical solution and advantageous effect
It is described in detail, it should be understood that the foregoing is merely the specific implementation mode of the present invention, is not intended to limit the present invention
Protection domain, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of sensing image formation control method, which is characterized in that the sensing image formation control method includes：
Determine the first exposure parameter；
It is exposed according to first exposure parameter, obtains initial image information；
The initial image information is handled, determines the image background parameter of initial pictures, and according to described image background
Parameter determines the image background parameter of saturation of initial pictures described in the initial image information；
Average background parameter of saturation is determined according to described image background parameter of saturation；
Image optimum contrast is determined according to the average background parameter of saturation；
The second exposure parameter is determined according to described image optimum contrast and first exposure parameter；
It is exposed according to second exposure parameter, obtains optimization image information.
2. sensing image formation control method according to claim 1, which is characterized in that the exposure parameter specifically includes：It exposes
Between light time and/or light intensity parameter.
3. sensing image formation control method according to claim 1, which is characterized in that described to be saturated according to the average background
Parameter determines that image optimum contrast specifically includes：
According to the initial image information, at least one of initial pictures target image is identified, and confirm target image
Context parameter；
The background parameter of saturation of the target image is determined according to the context parameter of the target image；
Image optimum contrast is determined according to the background parameter of saturation of the target image and the average background parameter of saturation.
4. sensing image formation control method according to claim 1, which is characterized in that described to be saturated according to the average background
Parameter determines that image optimum contrast specifically includes：
Obtain the background parameter of saturation of goal-selling image；
Determine that image most preferably compares according to the background parameter of saturation of the goal-selling image and the average background parameter of saturation
Degree.
5. according to any sensing image formation control methods of claim 1-4, which is characterized in that described according to the average back of the body
Scape parameter of saturation determines that image optimum contrast is specially：
According to the average background parameter of saturation and default adjusting parameter, described image optimum contrast is obtained.
6. a kind of sensing imaging control apparatus, which is characterized in that described device includes：
Exposure parameter determination unit, for determining the first exposure parameter；
Image acquisition units obtain initial image information for being exposed according to first exposure parameter；
Image processing unit determines the image background parameter of initial pictures for handling the initial image information, and
The image background parameter of saturation of initial pictures described in the initial image information is determined according to the initial pictures context parameter；
Computing unit, for determining average background parameter of saturation according to described image background parameter of saturation, according to the average back of the body
Scape parameter of saturation determines image optimum contrast, and is determined according to described image optimum contrast and first exposure parameter
Second exposure parameter；
Output unit, it is excellent to be obtained by described image collecting unit for being exposed according to second exposure parameter
Change image information.
7. sensing imaging control apparatus according to claim 6, which is characterized in that the exposure parameter specifically includes：It exposes
Between light time and/or light intensity parameter.
8. sensing imaging control apparatus according to claim 6, which is characterized in that the computing unit specifically includes：
Identify subelement, for according to the initial image information, identifying at least one of initial pictures target image,
And confirm the context parameter of the target；
Determination subelement determines the background parameter of saturation of the target image according to the context parameter of the target image；
Computation subunit, for being saturated according to the background parameter of saturation of the target image and the average background of the target image
Parameter determines image optimum contrast.
9. sensing imaging control apparatus according to claim 6, which is characterized in that the computing unit specifically includes：
Obtain subelement, the background parameter of saturation for obtaining goal-selling image；
Computation subunit determines figure according to the background parameter of saturation of the goal-selling image and the average background parameter of saturation
As optimum contrast.
10. according to any sensing image formation control methods of claim 6-9, which is characterized in that the computing unit is specific
For：According to the average background parameter of saturation and default adjusting parameter, described image optimum contrast is obtained.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001249374A (en) * | 2000-03-02 | 2001-09-14 | Sanyo Electric Co Ltd | Camera signal processor and method for the same |
| CN1564996A (en) * | 2001-10-03 | 2005-01-12 | 阿诺托股份公司 | An optical sensor device and a method of controlling its exposure time |
| CN101247479A (en) * | 2008-03-26 | 2008-08-20 | 北京中星微电子有限公司 | Automatic exposure method based on objective area in image |
| CN105190424A (en) * | 2013-01-15 | 2015-12-23 | 威智伦公司 | Imaging apparatus with scene adaptive auto exposure compensation |
| CN105874779A (en) * | 2015-03-31 | 2016-08-17 | 深圳市大疆创新科技有限公司 | An image forming apparatus, a light filling control method thereof, a system, and a movable object |
-
2017
- 2017-04-02 CN CN201710215021.9A patent/CN108668088A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001249374A (en) * | 2000-03-02 | 2001-09-14 | Sanyo Electric Co Ltd | Camera signal processor and method for the same |
| CN1564996A (en) * | 2001-10-03 | 2005-01-12 | 阿诺托股份公司 | An optical sensor device and a method of controlling its exposure time |
| CN101247479A (en) * | 2008-03-26 | 2008-08-20 | 北京中星微电子有限公司 | Automatic exposure method based on objective area in image |
| CN105190424A (en) * | 2013-01-15 | 2015-12-23 | 威智伦公司 | Imaging apparatus with scene adaptive auto exposure compensation |
| CN105874779A (en) * | 2015-03-31 | 2016-08-17 | 深圳市大疆创新科技有限公司 | An image forming apparatus, a light filling control method thereof, a system, and a movable object |
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