CN105847708B - Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system - Google Patents
Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system Download PDFInfo
- Publication number
- CN105847708B CN105847708B CN201610355163.0A CN201610355163A CN105847708B CN 105847708 B CN105847708 B CN 105847708B CN 201610355163 A CN201610355163 A CN 201610355163A CN 105847708 B CN105847708 B CN 105847708B
- Authority
- CN
- China
- Prior art keywords
- value
- image
- exposure
- histogram
- adjustment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012937 correction Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 102000015097 RNA Splicing Factors Human genes 0.000 description 1
- 108010039259 RNA Splicing Factors Proteins 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005375 photometry Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration using histogram techniques
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
- Image Input (AREA)
Abstract
The present invention provides a kind of line-scan digital camera automatic exposure method of adjustment and system based on image histogram analysis, including calculates the grey level histogram of present image, is normalized to grey level histogram, obtains the left margin, right margin and peak value of the histogram of present image；According to the expectation peak value of image grey level histogram, camera exposure adjusted value is calculated；If the absolute value of camera exposure adjusted value is more than or equal to adjustment, threshold calculations obtain new current exposure value, absolute value is less than adjustment threshold value and then keeps current exposure value without adjustment, it is taken pictures according to current exposure value, after obtaining new image as present image, continues to adjust.The present invention carries out histogram analysis by the image data to acquisition, is adjusted to the camera exposure time using the desired quality of image and its histogram distribution feature, achievees the effect that the camera adjust automatically time for exposure.
Description
Technical field
The present invention relates to digital image processing field more particularly to a kind of line-scan digital cameras based on image histogram analysis certainly
Dynamic exposure adjustment method and system.
Background technology
Field sport target (such as train) is imaged, it is contemplated that movement and splicing factor mostly use line-scan digital camera and take pictures.Phase
For the environment of field image data acquiring, the light filling of active light source is the necessary condition taken pictures, but the change of external environment
Change, how the interference such as phenomena such as night, fine day, rainy days, direct sunlight, movement effectively eliminates, obtain better image
Effect is must to solve the problems, such as.The histogram analysis of image is commonly used in the statistical analysis of image, can be used for equalizing (such as
" a kind of histogram equalization method of infrared image " (CN 104252700A), but rarely have for reversely instructing to adjust camera
The method of exposure parameter.
By means such as photometry apparatus, luminous intensity measurements, the variation of external ambient light is measured, needs to consider shadow region
The factors such as domain, external light source interference, object of which movement, and it is reflective to imaging object itself phenomena such as, it is current relatively good not yet
Solution.Therefore, it is necessary to providing a kind of new camera exposure method carrys out adjust automatically, with facilitate obtain light and shade it is suitable, at
As effect clearly dynamic scene picture.
Invention content
To solve the above-mentioned problems, the present invention proposes a kind of line-scan digital camera automatic exposure tune based on image histogram analysis
Adjusting method and system are embodied in external interference factor in imaging results from image quality analysis, pass through image histogram point
Analysis obtains the time for exposure for being suitble to current environment and current time, to obtain high quality graphic.
Technical scheme of the present invention provides a kind of line-scan digital camera automatic exposure method of adjustment based on image histogram analysis,
It is characterized by comprising the following steps：
Step 1 obtains present image, calculates the grey level histogram of present image, grey level histogram is normalized, obtain
Take the left margin Left_Pos, right margin Rigt_Pos and peak value of the histogram of present image；
Step 2, the expectation peak E xp_Bright according to image grey level histogram calculate camera exposure adjusted value CExp such as
Under,
Wherein, Exp_Bright is the expectation peak value of image histogram, and Left_Sec_Pos and Rigt_Sec_Pos are to pick
Except the secondary boundary value after the peak value of boundary, correction factor k1, k2 are image histogram linear transform coefficient；
Step 3, the absolute value for comparing camera exposure adjusted value CExp and preset adjustment threshold value, if camera exposure adjusts
The absolute value of value CExp is more than or equal to adjustment threshold value, and camera exposure adjusted value is added with current exposure value, obtains new current
Exposure value enters step 4；If the absolute value of camera exposure adjusted value CExp is less than adjustment threshold value, without adjustment, keep
Current exposure value enters step 4；
Step 4 is taken pictures according to current exposure value, after obtaining new image as present image, returns to step
Rapid 1, continue to adjust.
Moreover, according to preset filtering threshold, histogram is intercepted, updates the left margin of the histogram of present image
Left_Pos, right margin Rigt_Pos and peak value.
Moreover, the line number of present image uses preset numerical value m.
Moreover, m=1000.
Moreover, according to preset numerical value n, n>1, it is etc. to be captured when being taken pictures according to current exposure value in step 4
(n-1) newest m rows image is just extracted after × m rows as new present image, is then returned to step 1, is continued to adjust.
The present invention correspondingly provides a kind of line-scan digital camera automatic exposure adjustment system based on image histogram analysis, including
With lower module：
First module calculates the grey level histogram of present image, returns to grey level histogram for obtaining present image
One changes, and obtains the left margin Left_Pos, right margin Rigt_Pos and peak value of the histogram of present image；
Second module calculates camera exposure adjustment for the expectation peak E xp_Bright according to image grey level histogram
Value CExp is as follows,
Wherein, Exp_Bright is the expectation peak value of image histogram, and Left_Sec_Pos and Rigt_Sec_Pos are to pick
Except the secondary boundary value after the peak value of boundary, correction factor k1, k2 are image histogram linear transform coefficient；
Third module, the absolute value for comparing camera exposure adjusted value CExp and preset adjustment threshold value, if camera
The absolute value for exposing adjusted value CExp is more than or equal to adjustment threshold value, and camera exposure adjusted value is added with current exposure value, is obtained
New current exposure value, order the 4th module work；If the absolute value of camera exposure adjusted value CExp is less than adjustment threshold value,
Without adjustment, current exposure value, order the 4th module work are kept；
4th module, for being taken pictures according to current exposure value, after obtaining new image as present image, order
First module works, and continues to adjust.
Moreover, according to preset filtering threshold, histogram is intercepted, updates the left margin of the histogram of present image
Left_Pos, right margin Rigt_Pos and peak value.
Moreover, the line number of present image uses preset numerical value m.
Moreover, m=1000.
Moreover, according to preset numerical value n, n>1, it is to wait for clapping when being taken pictures according to current exposure value in the 4th module
Newest m rows image is just extracted as new present image after taking the photograph (n-1) × m rows, is then ordered the first module to work, is continued to adjust
It is whole.
The present invention carries out histogram analysis by the image data to acquisition, utilizes variations in peak and histogram waveform
The change of feature builds correspondence of the time for exposure with peak change, to utilize the desired quality of image and its histogram
Distribution characteristics adjusts the camera exposure time, so that the histogram feature of the image data of acquisition is matched with desired value, to reach
To the effect of camera adjust automatically time for exposure.
Description of the drawings
Fig. 1 is the application system system assumption diagram of the embodiment of the present invention；
Fig. 2 is the image histogram obtained before the embodiment of the present invention is adjusted.
Fig. 3 be the embodiment of the present invention adjusting after the correspondence image histogram that obtains.
Specific implementation method
Understand for the ease of those of ordinary skill in the art and implement the present invention, below in conjunction with the accompanying drawings and specific implementation mode
The present invention is described in further detail.
The embodiment of the present invention provides a kind of line-scan digital camera automatic exposure method of adjustment based on image histogram analysis, packet
Include following steps：
Step 1 obtains present image, calculates the grey level histogram of present image, grey level histogram is normalized, obtain
Take the left margin, right margin and peak value of the histogram of present image；
Embodiment in step 1, is normalized the grey level histogram of present image, to weaken noise jamming,
The filtering threshold k=0.3 of histogram is set in embodiment, histogram is intercepted, to obtain the histogram of present image
New left margin Left_Pos, right margin Rigt_Pos and peak value.When it is implemented, those skilled in the art can voluntarily preset
Threshold value is filtered, the influence of noise can be weakened using empirical value.
Step 2, the expectation peak value according to image grey level histogram calculate camera exposure adjusted value；
In step 2, if left margin Left_Pos=0 or right margin Rigt_Pos=255, to image new
The cumulative distribution that image is sought between the peak value of left and right gets the left margin of new histogram to realize histogram equalization
Left_Sec_Pos, right margin Rigt_Sec_Pos.
In embodiment, the expectation peak parameters Exp_Bright of ideal image histogram is inputted, camera is calculated according to formula
Expose adjusted value CExp：
Wherein, Exp_Bright is the expectation peak value of image histogram, and Left_Sec_Pos and Rigt_Sec_Pos are to pick
Except the secondary boundary value after the peak value of boundary.Wherein correction factor k1, k2 is image histogram linear transform coefficient, specific embodiment
When those skilled in the art can voluntarily preset value, such as can be obtained by changing the time for exposure of camera in fixed environment
Standard picture gray average counts to obtain, and embodiment takes k1=5, k2=6.
Step 3, for ensure system call interception efficiency, when it is implemented, those skilled in the art can voluntarily preset adjust threshold
Value, value is bigger, and efficiency is higher, and adjustment accuracy is lower, and the smaller regulated efficiency of value is lower, and Adjustment precision is higher.Embodiment is set
It is 10 to set adjustment threshold value, i.e. camera exposure adjusted value absolute value is more than or equal to 10, then illustrates that effect is still undesirable, by camera exposure
Adjusted value is added with current exposure value, obtains new current exposure value, is entered step 4 by new current exposure value, is taken pictures,
After obtaining new image as present image, by return to step 1, repeats step 1, step 2 and step 3 and continue to adjust；
If exposing adjusted value absolute value is less than 10, currently without adjustment, camera adjusted value is enabled to be equal to zero, keeps using current exposure
Value, enters step 4；
Step 4, according to current exposure value, camera is normally taken pictures, obtain image.
In step 4, taken pictures according to Current camera exposure value, continue take new image as present image after,
Step 1 is returned to, continues to adjust, to achieve the purpose that lasting acquisition clear image.Until halt system works.
Using technical solution of the present invention system architecture citing as shown in Figure 1, from initial camera capture image after, execute with
The computer of upper flow can adjust camera parameter, and store and arrive server, server exports the corresponding command to work with monitoring image
Control machine, the exposure value of control adjustment line-scan digital camera.For example, can be used for the train monitoring of outdoor dynamic operation, clear image is obtained,
In order to subsequent vehicle monitoring, identification.So, main use environment is outdoor environment, and use condition should adapt to a variety of days
Gas changes.When specific implementation, 1 group of inverted "L" shape holder can be used；One is installed on the cross bar of inverted "L" shape holder vertically downward
Industrial camera shooting top image, industrial camera of the installation one perpendicular to train running direction on montant taken pictures, and increase
Several light filling equipment, such as light source led.Hardware environment can be carried out the collecting work of image after putting in place right, using this hair
After bright technical solution obtains piece image, adjusts according to external environment, automatically adjust the time for exposure, obtain ideal image.
According to the characteristic of line-scan digital camera, when it is implemented, those skilled in the art can voluntarily pre-set image computing unit, i.e.,
The line number of present image uses preset numerical value m.The present embodiment takes 1000 initial row images as an image computing unit,
Its histogram information (such as Fig. 2) is obtained, in conjunction with the time for exposure before, time for exposure adjusted value (such as Fig. 3) is obtained, then to phase
The exposure value of machine is adjusted, and is equally the 1000 row data obtained after adjustment.I.e. present image always takes m=1000 row images
Data.
During adjustment, camera normal acquisition image, in order to avoid excessively frequently adjusting exposure value, therefore this hair
It is bright it is further proposed that, no matter by new current exposure value or retaining original current exposure value takes pictures, can not be horse
It is upper to obtain new image as present image, but newest m rows image is just extracted after waiting (n-1) × m rows to be captured as new
Present image.In embodiment, the single exposure time is adjusted close to for the rows of every n × 1000 in image appearance, wherein can root
N values, n are set according to the regulated efficiency of needs>1, when it is implemented, those skilled in the art can voluntarily preset the value of n.Embodiment
Middle n=2, until adjustment work terminates.
When it is implemented, method provided by the present invention, which can be based on software technology, realizes automatic running flow, mould can also be used
Block mode realizes corresponding system.
The embodiment of the present invention correspondingly provides a kind of line-scan digital camera automatic exposure adjustment system based on image histogram analysis
System, comprises the following modules：
First module calculates the grey level histogram of present image, returns to grey level histogram for obtaining present image
One changes, and obtains the left margin Left_Pos, right margin Rigt_Pos and peak value of the histogram of present image；
Second module calculates camera exposure adjustment for the expectation peak E xp_Bright according to image grey level histogram
Value CExp is as follows,
Wherein, Exp_Bright is the expectation peak value of image histogram, and Left_Sec_Pos and Rigt_Sec_Pos are to pick
Except the secondary boundary value after the peak value of boundary, correction factor k1, k2 are image histogram linear transform coefficient；
Third module, the absolute value for comparing camera exposure adjusted value CExp and preset adjustment threshold value, if camera
The absolute value for exposing adjusted value CExp is more than or equal to adjustment threshold value, and camera exposure adjusted value is added with current exposure value, is obtained
New current exposure value, order the 4th module work；If the absolute value of camera exposure adjusted value CExp is less than adjustment threshold value,
Without adjustment, current exposure value, order the 4th module work are kept；
4th module, for being taken pictures according to current exposure value, after obtaining new image as present image, order
First module works, and continues to adjust.
Each module specific implementation can be found in corresponding steps, and it will not go into details by the present invention.
The above be only illustrate the present invention specific implementation case, be not limited to the present invention can be real
Apply range, such as those skilled in the art without departing from indicated by the present invention spirit with principle under completed all etc.
Effect changes or modification, should be covered by the range of the claims in the present invention.
Claims (10)
1. a kind of line-scan digital camera automatic exposure method of adjustment based on image histogram analysis, which is characterized in that including following step
Suddenly：
Step 1 obtains present image, calculates the grey level histogram of present image, which is normalized, and obtains
Left margin Left_Pos, right margin Rigt_Pos and the peak value of the grey level histogram of present image；
Step 2, the expectation peak E xp_Bright according to the grey level histogram of image, calculate camera exposure adjusted value CExp such as
Under,
Wherein, Left_Sec_Pos and Rigt_Sec_Pos is the secondary boundary value rejected after the peak value of boundary, correction factor k1, k2
For the linear transform coefficient of the grey level histogram of image；
Step 3, the absolute value for comparing camera exposure adjusted value CExp and preset adjustment threshold value, if camera exposure adjusted value
The absolute value of CExp is more than or equal to adjustment threshold value, and camera exposure adjusted value is added with current exposure value, obtains new current exposure
Light value enters step 4；If the absolute value of camera exposure adjusted value CExp is less than adjustment, threshold value keeps working as without adjustment
Prior exposure value, enters step 4；
Step 4 is taken pictures according to current exposure value, after obtaining new image as present image, returns to step 1,
Continue to adjust.
2. the line-scan digital camera automatic exposure method of adjustment based on image histogram analysis, feature exist according to claim 1
In：According to preset filtering threshold, the grey level histogram of image is intercepted, updates a left side for the grey level histogram of present image
Boundary Left_Pos, right margin Rigt_Pos and peak value.
3. the line-scan digital camera automatic exposure method of adjustment according to claim 1 or claim 2 based on image histogram analysis, feature
It is：The line number of present image uses preset numerical value m.
4. the line-scan digital camera automatic exposure method of adjustment based on image histogram analysis, feature exist according to claim 3
In：M=1000.
5. the line-scan digital camera automatic exposure method of adjustment based on image histogram analysis, feature exist according to claim 3
In：According to preset numerical value n, n>1, when being taken pictures according to current exposure value in step 4, after (n-1) × m rows to be captured such as being
Newest m rows image is just extracted as new present image, step 1 is then returned to, continues to adjust.
6. a kind of line-scan digital camera automatic exposure based on image histogram analysis adjusts system, which is characterized in that including with lower die
Block：
First module calculates the grey level histogram of present image, normalizing is carried out to the grey level histogram for obtaining present image
Change, obtains the left margin Left_Pos, right margin Rigt_Pos and peak value of the grey level histogram of present image；
Second module is used for the expectation peak E xp_Bright of the grey level histogram according to image, calculates camera exposure adjusted value
CExp is as follows,
Wherein, Left_Sec_Pos and Rigt_Sec_Pos is the secondary boundary value rejected after the peak value of boundary, correction factor k1, k2
For the linear transform coefficient of the grey level histogram of image；
Third module, the absolute value for comparing camera exposure adjusted value CExp and preset adjustment threshold value, if camera exposure
The absolute value of adjusted value CExp is more than or equal to adjustment threshold value, and camera exposure adjusted value is added with current exposure value, is obtained new
Current exposure value, order the 4th module work；If the absolute value of camera exposure adjusted value CExp be less than adjustment threshold value, not into
Row adjustment keeps current exposure value, order the 4th module work；
4th module, for being taken pictures according to current exposure value, after obtaining new image as present image, order first
Module works, and continues to adjust.
7. the line-scan digital camera automatic exposure based on image histogram analysis adjusts system according to claim 6, feature exists
In：According to preset filtering threshold, the grey level histogram of image is intercepted, updates a left side for the grey level histogram of present image
Boundary Left_Pos, right margin Rigt_Pos and peak value.
8. the line-scan digital camera automatic exposure based on image histogram analysis described according to claim 6 or 7 adjusts system, feature
It is：The line number of present image uses preset numerical value m.
9. the line-scan digital camera automatic exposure based on image histogram analysis adjusts system according to claim 8, feature exists
In：M=1000.
10. the line-scan digital camera automatic exposure based on image histogram analysis adjusts system according to claim 8, feature exists
In：According to preset numerical value n, n>1, (the n-1) × m to be captured such as it is when being taken pictures according to current exposure value in the 4th module
Newest m rows image is just extracted after row as new present image, is then ordered the first module to work, is continued to adjust.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610355163.0A CN105847708B (en) | 2016-05-26 | 2016-05-26 | Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610355163.0A CN105847708B (en) | 2016-05-26 | 2016-05-26 | Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105847708A CN105847708A (en) | 2016-08-10 |
| CN105847708B true CN105847708B (en) | 2018-09-21 |
Family
ID=56594613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610355163.0A Active CN105847708B (en) | 2016-05-26 | 2016-05-26 | Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105847708B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201822709A (en) * | 2016-12-30 | 2018-07-01 | 曦威科技股份有限公司 | Real-time heart rate detection method and real-time heart rate detection system therefor |
| CN110572583A (en) * | 2018-05-18 | 2019-12-13 | 杭州海康威视数字技术股份有限公司 | method for shooting image and camera |
| CN110873724B (en) * | 2018-09-03 | 2023-03-21 | 中国石油化工股份有限公司 | Shale core image acquisition method |
| CN109348136A (en) * | 2018-11-22 | 2019-02-15 | 成都市鹰诺实业有限公司 | A method of camera parameter is adjusted by photo histogram |
| CN111050088B (en) * | 2019-12-30 | 2021-12-21 | 英特尔产品（成都）有限公司 | Mechanism to calibrate imaging brightness of camera for detecting die defects |
| CN111337132B (en) * | 2020-02-28 | 2021-08-27 | 创新奇智(北京)科技有限公司 | Temperature measuring method and device and digital image acquisition equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101064783A (en) * | 2006-04-30 | 2007-10-31 | 华为技术有限公司 | Method for obtaining automatic exposure control parameter and control method and image forming apparatus |
| CN101399924A (en) * | 2007-09-25 | 2009-04-01 | 展讯通信（上海）有限公司 | Automatic exposure method and device based on brightness histogram |
| CN101534453A (en) * | 2008-12-12 | 2009-09-16 | 昆山锐芯微电子有限公司 | Method for controlling automatic exposure, image processor and optical imaging device |
| CN102724405A (en) * | 2012-06-21 | 2012-10-10 | 无锡市中兴光电子技术有限公司 | Method and device for automatic exposure compensation of backlit scenes in video imaging system |
| CN102801920A (en) * | 2012-07-25 | 2012-11-28 | 中国科学院长春光学精密机械与物理研究所 | Sensorless continuous automatic exposure time adjusting and controlling device of camera |
| CN103888667A (en) * | 2012-12-21 | 2014-06-25 | 佳能株式会社 | Image capturing apparatus and control method thereof |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030184673A1 (en) * | 2002-04-02 | 2003-10-02 | Michael Skow | Automatic exposure control for digital imaging |
-
2016
- 2016-05-26 CN CN201610355163.0A patent/CN105847708B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101064783A (en) * | 2006-04-30 | 2007-10-31 | 华为技术有限公司 | Method for obtaining automatic exposure control parameter and control method and image forming apparatus |
| CN101399924A (en) * | 2007-09-25 | 2009-04-01 | 展讯通信（上海）有限公司 | Automatic exposure method and device based on brightness histogram |
| CN101534453A (en) * | 2008-12-12 | 2009-09-16 | 昆山锐芯微电子有限公司 | Method for controlling automatic exposure, image processor and optical imaging device |
| CN102724405A (en) * | 2012-06-21 | 2012-10-10 | 无锡市中兴光电子技术有限公司 | Method and device for automatic exposure compensation of backlit scenes in video imaging system |
| CN102801920A (en) * | 2012-07-25 | 2012-11-28 | 中国科学院长春光学精密机械与物理研究所 | Sensorless continuous automatic exposure time adjusting and controlling device of camera |
| CN103888667A (en) * | 2012-12-21 | 2014-06-25 | 佳能株式会社 | Image capturing apparatus and control method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 车载数字相机自动曝光方法研究;易亮;《中国优秀硕士学位论文全文数据库 信息科技辑》;20130215;I138-1638 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105847708A (en) | 2016-08-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105847708B (en) | Line-scan digital camera automatic exposure method of adjustment based on image histogram analysis and system | |
| CN109918993B (en) | Control method based on face area exposure | |
| US10373008B2 (en) | Systems and methods of biometric analysis with adaptive trigger | |
| CN109714519B (en) | Method and system for automatically adjusting image frame | |
| CN111770285B (en) | Exposure brightness control method and device, electronic equipment and storage medium | |
| CN108960290A (en) | Image processing method, device, computer readable storage medium and electronic equipment | |
| CN105915811B (en) | The strong Xanthophyll cycle adaptive control method of image and device | |
| CN106791475A (en) | Exposure adjustment method and the vehicle mounted imaging apparatus being applicable | |
| WO2020095130A1 (en) | Image capture device control based on determination of blur value of objects in images | |
| CN103973990B (en) | wide dynamic fusion method and device | |
| CN110266946B (en) | Photographing effect automatic optimization method and device, storage medium and terminal equipment | |
| CN104034638B (en) | The diamond wire online quality detecting method of granule based on machine vision | |
| CN107124561A (en) | A kind of bar code image exposure adjustment system and method based on CMOS | |
| CN104580925A (en) | Image brightness controlling method, device and camera | |
| CN105100632A (en) | Adjusting method and apparatus for automatic exposure of imaging device, and imaging device | |
| CN103699877A (en) | Method and system for improving face recognition effects | |
| CN101582160A (en) | Foreground detection method and device as well as adaptive threshold adjusting method and device | |
| CN110163807B (en) | Low-illumination image enhancement method based on expected bright channel | |
| CN110248101A (en) | Focusing method and device, electronic equipment, computer readable storage medium | |
| CN114430462B (en) | Unmanned aerial vehicle autonomous photographing parameter adjusting method, device, equipment and storage medium | |
| CN107958205A (en) | Gunnery training intelligent management system | |
| CN110216082A (en) | The recognition methods of fluorescent marker seed dynamics and system | |
| CN114866705A (en) | Automatic exposure method, storage medium and electronic device | |
| CN112330689A (en) | Photovoltaic camera exposure parameter adjusting method and device based on artificial intelligence | |
| CN111464723B (en) | Method for expanding illumination intensity range and hand-eye system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |