CN108650473A - The method and system of endoscope LED light automatic brightness adjustment - Google Patents
The method and system of endoscope LED light automatic brightness adjustment Download PDFInfo
- Publication number
- CN108650473A CN108650473A CN201810522615.9A CN201810522615A CN108650473A CN 108650473 A CN108650473 A CN 108650473A CN 201810522615 A CN201810522615 A CN 201810522615A CN 108650473 A CN108650473 A CN 108650473A
- Authority
- CN
- China
- Prior art keywords
- image
- brightness
- exposure
- led light
- assert
- 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.)
- Granted
Links
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
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/555—Constructional details for picking-up images in sites, inaccessible due to their dimensions or hazardous conditions, e.g. endoscopes or borescopes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Endoscopes (AREA)
Abstract
The present invention proposes a kind of method and system of endoscope LED light automatic brightness adjustment, and this approach includes the following steps：S1, real-time image acquisition are analyzed image luminance information, are specifically included：Image brightness values extraction is carried out to image, and analyzes distribution situation of the brightness value in full frame image, analysis chart seems that no exposure is normal；S2 acquires the brightness information of endoscope working environment；S3 determines the brightness of the required LED light of subsequent image according to the brightness information of image luminance information and working environment.This method is simple, this improves the accuracy of LED light brightness, to improve the quality of image, is more advantageous to doctor and makes accurate diagnosis to the state of an illness；Simultaneously by automatic adjusument LED light brightness, the illumination power consumption of LED light is also saved, achievees the purpose that increase the capsule effective time.
Description
Technical field
The present invention relates to medical fields, and in particular to a kind of method and system of endoscope LED light automatic brightness adjustment.
Background technology
The continuous expansion of continuous development and capsule endoscope application scenarios now with technology, capsule endoscope is not only
It is confined to the relevant inspection of past small intestine, but is had become a kind of all more effective to the entire alimentary canal image of human body
Detection methods.Upper digestive tract capsule endoscopic generally use white LEDs lamp illuminates capsule in Image Acquisition, and LED
The brightness of illumination will directly affect the mass effect and system overall power that imaging sensor is taken pictures.Therefore, in practical applications
The problems such as needing the adaptive brightness for solving LED light and system power dissipation.
Capsule endoscopic on sale mostly uses the LED light of constant brightness according to fixed frequency into line flicker currently on the market
Mode for imaging sensor acquisition illumination is provided.In system work process such mode be limited to capsule in vivo can not
Control state, LED light in capsule local luminance when close to inside of human body tissue are excessively high so that it is existing that overexposure occurs in the image of acquisition
As；And LED light local luminance when from inside of human body tissue farther out is relatively low so that under-exposed show occurs in the image of acquisition
As.
In order to solve these problems, it discloses in the prior art as application No. is the technology recorded in 2016104716310,
The patent document is acquired and is analyzed by the exposure of brightness, image to image, is then adjusted and is schemed according to analysis result
As collecting sensor signal gain amplifier and image exposure degree.This solves the above problem to a certain extent, but specially due to this
The factor that sharp document is mainly in view of be based on image itself, and to actual environment light factor consider it is less, can not be directed to
The environmental factor of capsule position and picture quality is adjusted so that image captured by capsule still cannot be anti-well
Answer the truth at captured position.
Invention content
In order to overcome above-mentioned defect existing in the prior art, the object of the present invention is to provide a kind of endoscope LED light is bright
Spend the method and system of automatic adjustment.
In order to realize the above-mentioned purpose of the present invention, the present invention provides a kind of sides of endoscope LED light automatic brightness adjustment
Method includes the following steps：
S1, real-time image acquisition are analyzed image luminance information, are specifically included：Image brightness values extraction is carried out to image, and
Distribution situation of the brightness value in full frame image is analyzed, analysis chart seems that no exposure is normal；
S2 acquires the brightness information of endoscope working environment；
S3 determines the required LED light of subsequent image according to the brightness information of image luminance information and working environment
Brightness.
By the acquisition of the brightness of analysis and endoscope working environment to image luminance information, and determine therefrom that
LED light brightness, this method is simple, bright to LED light from the factor of endoscope itself and the brightness factor of working environment
Degree is adjusted, this improves the accuracy of LED light brightness, avoids and endoscope occurs during taking pictures since LED light is bright
The problem of degree is fixed and brings overexposure or under-exposure is more advantageous to doctor and is done to the state of an illness to improve the quality of image
Go out accurate diagnosis；Simultaneously by automatic adjusument LED light brightness, the illumination power consumption of LED light is also saved, reaching increase capsule has
Imitate the purpose of working time.
Further, it includes following steps brightness of image information to be analyzed in the step S1：
Image is transformed into yuv color spaces by A, is carried out brightness y values and the separation of coloration u, v value, is only retained brightness y values, obtain
To the distribution situation of brightness y values in the picture, to obtain image brightness value distribution situation；
B judges that the overall exposing of image is horizontal according to the brightness y values of image：The mean value for calculating brightness y values, if brightness y
It is normal to be then considered as overall exposing in prescribed limit for the mean value of value；If the mean value of brightness y values more than prescribed limit, depending on
For whole overexposure, the image overexposure is judged；If the mean value of brightness y values is considered as whole deficient exposure, sentences less than prescribed limit
The fixed image is under-exposure；
C judges that the regional exposure of image is horizontal when image overall exposing is normal according to the brightness y values of image：
If image size be m*n, described m, n be positive number, with size for w*w block template in the picture with x picture of stride
The average exposure of plain each region unit of mobile computing, wherein w, x are the integer value less than m, n；
Each regional exposure situation of image is judged according to the method in step B：
When there are average exposure is less than minimum setting light exposure and there is no average exposures to be set more than maximum in image
When determining the region unit of light exposure, assert that the region unit of image is under-exposure；
It is less than minimum set when being more than maximum setting light exposure there are average exposure in image and average exposure being not present
When determining the region unit of light exposure, the image region unit overexposure is assert；
When region unit all in image average exposure minimum setting light exposure and maximum setting light exposure it
Between when, assert image exposure it is normal；
When the region number of blocks that the average exposure in image is more than maximum setting light exposure is less than more than average exposure
When the region number of blocks of minimum setting light exposure, image overexposure is assert, conversely, then assert that image is under-exposure.
This method is simple and quick, and by carrying out image brightness values extraction to image, analysis brightness value is in full frame image
Distribution situation, analysis obtain whether image exposes normally.
Further, step S3 includes following steps：
S3-1 is adjusted according to ambient brightness value at this time when image exposure amount is normal：
If ambient brightness range between normal range value L-K, assert that image exposure is normal, then keeps LED light at this time
Brightness is constant；
If ambient brightness value is higher by normal range (NR) L-K, assert to be currently that intermediate region is excessively close, then reduce by 1 grade LED
Lamp brightness；
If ambient brightness value is less than normal range (NR) L-K, current intermediate region is assert too far, then it is bright to increase by 1 grade LED light
Degree；
S3-2 is adjusted according to ambient brightness value at this time when image exposure amount is overexposure：
If ambient brightness value in normal range (NR), assert currently excessively close for part, then 1 grade LED light brightness of reduction；
If ambient brightness value is higher than normal range (NR), assert to be currently overexposure state, then reduce by 2 grade LED light brightness；
If ambient brightness value is less than normal range (NR), assert current local excessively close and intermediate region too far, then reduce by 1 grade
LED light brightness；
S3-3 is adjusted according to ambient brightness value at this time when image exposure amount estimated result is to owe to expose：If environment is bright
Angle value assert current part too far, then increases by 1 grade LED light brightness in normal range (NR)；
If ambient brightness value is higher than normal range (NR), current part is assert too far, intermediate region is excessively close, then reduces by 1 grade
LED light brightness；
If ambient brightness value is less than normal range (NR), assert to be currently under-exposure state, then improve 2 grade LED light brightness.
The adjusting method is simple, respectively from the normal of image exposure amount, overexposure, owe expose, environment bright values be in normal range (NR),
Higher than normal range (NR), less than nine kinds of normal range (NR) in the case of LED light brightness is adjusted.
The invention also provides a kind of endoscope LED of the method based on above-mentioned endoscope LED light automatic brightness adjustment
Lamp brightness control system, including image acquisition units, brightness of image analytic unit, light sensor, LED light luminance calculation unit
And control unit, described image collecting unit acquire image information, output end is connected to described image luminance analyzing unit, institute
It states brightness of image analytic unit and image luminance information analysis is carried out to the image of acquisition, it is bright that output end is connected to the LED light
Spend the image luminance information input terminal of computing unit, the brightness information of the light sensor collecting work environment, output
End is connected to the working environment brightness information input terminal of the LED light luminance calculation unit, the LED light luminance calculation unit
Output end connects described control unit, and described control unit output end connects the brightness control terminal of LED light, described control unit root
The brightness degree of LED light is adjusted according to the result of calculation of LED light luminance calculation unit.
The endoscope LED light brightness control system is simple in structure, can fast and accurately be adjusted to endoscope LED light brightness
Section.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obviously, or practice through the invention is recognized.
Description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become in the description from combination following accompanying drawings to embodiment
Obviously and it is readily appreciated that, wherein：
Fig. 1 is image exposure state decision flowchart.
Specific implementation mode
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the present invention, unless otherwise specified and limited, it should be noted that term " installation ", " connected ",
" connection " shall be understood in a broad sense, for example, it may be mechanical connection or electrical connection, can also be the connection inside two elements, it can
, can also indirectly connected through an intermediary, for the ordinary skill in the art to be to be connected directly, it can basis
Concrete condition understands the concrete meaning of above-mentioned term.
The present invention provides a kind of methods of endoscope LED light automatic brightness adjustment, include the following steps：
S1, real-time image acquisition are analyzed image luminance information, are specifically included：Image brightness values extraction is carried out to image, and
Distribution situation of the brightness value in full frame image is analyzed, analysis chart seems that no exposure is normal.
This has specifically included following steps, as shown in Figure 1：
Image is transformed into yuv color spaces by A, is carried out brightness y values and the separation of coloration u, v value, is only retained brightness y values, obtain
To the distribution situation of brightness y values in the picture, to obtain image brightness value distribution situation.
B judges that the overall exposing of image is horizontal according to the brightness y values of image：The mean value of brightness y values is calculated, is usually used
It indicates, if the mean value of brightness y valuesIn prescribed limit, then it is normal to be considered as overall exposing；If the mean value of brightness y values
More than prescribed limit, then it is considered as whole overexposure, judges the image overexposure；If the mean value of brightness y valuesLess than regulation model
It encloses, is then considered as whole deficient exposure, judges that the image is under-exposure.Here prescribed limit is typically set to 90-140.
C judges that the regional exposure of image is horizontal when image overall exposing is normal according to the brightness y values of image：
If image size be m*n, described m, n be positive number, with size for w*w block template in the picture with x picture of stride
The average exposure of plain each region unit of mobile computing, wherein w, x are the integer value less than m, n.
Each regional exposure situation of image is judged according to the method in step B：
When there are average exposure is less than minimum setting light exposure and there is no average exposures to be set more than maximum in image
When determining the region unit of light exposure, assert that the region unit of image is under-exposure.
It is less than minimum set when being more than maximum setting light exposure there are average exposure in image and average exposure being not present
When determining the region unit of light exposure, the image region unit overexposure is assert.
When region unit all in image average exposure minimum setting light exposure and maximum setting light exposure it
Between when, assert image exposure it is normal.
When the region number of blocks that the average exposure in image is more than maximum setting light exposure is less than more than average exposure
When the region number of blocks of minimum setting light exposure, image overexposure is assert, conversely, then assert that image is under-exposure.
Wherein, maximum setting light exposure is usually 170, and minimum setting light exposure is usually 60.
S2 acquires the brightness information of endoscope working environment.
S3 determines the required LED light of subsequent image according to the brightness information of image luminance information and working environment
Brightness.
This has specifically included following steps：
S3-1 is adjusted according to ambient brightness value at this time when image exposure amount is normal：
If ambient brightness range between normal range value L-K, assert that image exposure is normal, then keeps LED light at this time
Brightness is constant.
If ambient brightness value is higher by normal range (NR) L-K, assert to be currently that intermediate region is excessively close, then reduce by 1 grade LED
Lamp brightness.
If ambient brightness value is less than normal range (NR) L-K, current intermediate region is assert too far, then it is bright to increase by 1 grade LED light
Degree.
S3-2 is adjusted according to ambient brightness value at this time when image exposure amount is overexposure：
If ambient brightness value in normal range (NR), assert currently excessively close for part, then 1 grade LED light brightness of reduction.
If ambient brightness value is higher than normal range (NR), assert to be currently overexposure state, then reduce by 2 grade LED light brightness.
If ambient brightness value is less than normal range (NR), assert current local excessively close and intermediate region too far, then reduce by 1 grade
LED light brightness.
S3-3 is adjusted according to ambient brightness value at this time when image exposure amount estimated result is to owe to expose：If environment is bright
Angle value assert current part too far, then increases by 1 grade LED light brightness in normal range (NR).
If ambient brightness value is higher than normal range (NR), current part is assert too far, intermediate region is excessively close, then reduces by 1 grade
LED light brightness.
If ambient brightness value is less than normal range (NR), assert to be currently under-exposure state, then improve 2 grade LED light brightness.
Specific adjust can refer to the table 1LED brightness regulation tables of comparisons, and the wherein brightness degree of LED light and output current is at just
Correlation can control LED light brightness by controlling the size of output current, this is more mature technology, and and will not be described here in detail.
The table 1LED brightness regulation tables of comparisons
The invention also provides a kind of endoscope LED of the method based on above-mentioned endoscope LED light automatic brightness adjustment
Lamp brightness control system, including image acquisition units, brightness of image analytic unit, light sensor, LED light luminance calculation unit
And control unit, described image collecting unit acquire image information, output end is connected to described image luminance analyzing unit, institute
It states brightness of image analytic unit and image luminance information analysis is carried out to the image of acquisition, it is bright that output end is connected to the LED light
Spend the image luminance information input terminal of computing unit, the brightness information of the light sensor collecting work environment, output
End is connected to the working environment brightness information input terminal of the LED light luminance calculation unit, the LED light luminance calculation unit
Output end connects described control unit, and described control unit output end connects the brightness control terminal of LED light, described control unit root
The brightness degree of LED light is adjusted according to the result of calculation of LED light luminance calculation unit.The endoscope LED light brightness control system is pressed
LED light brightness is adjusted in the method for above-mentioned endoscope LED light automatic brightness adjustment.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiments or example in can be combined in any suitable manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
In the case of being detached from the principle of the present invention and objective a variety of change, modification, replacement and modification can be carried out to these embodiments, this
The range of invention is limited by claim and its equivalent.
Claims (4)
1. a kind of method of endoscope LED light automatic brightness adjustment, which is characterized in that include the following steps：
S1, real-time image acquisition are analyzed image luminance information, are specifically included：Image brightness values extraction is carried out to image, and is analyzed
Distribution situation of the brightness value in full frame image, analysis chart seem that no exposure is normal；
S2 acquires the brightness information of endoscope working environment；
S3 determines the brightness of the required LED light of subsequent image according to the brightness information of image luminance information and working environment.
2. the method for endoscope LED light automatic brightness adjustment according to claim 1, which is characterized in that the step S1
Middle analysis brightness of image information includes following steps：
Image is transformed into yuv color spaces by A, is carried out brightness y values and the separation of coloration u, v value, is only retained brightness y values, obtain bright
Spend the distribution situation of y values in the picture, to obtain image brightness value distribution situation；
B judges that the overall exposing of image is horizontal according to the brightness y values of image：The mean value of brightness y values is calculated, if brightness y values
It is normal to be then considered as overall exposing in prescribed limit for mean value；If the mean value of brightness y values is considered as whole more than prescribed limit
Body overexposure judges the image overexposure；If the mean value of brightness y values is considered as whole deficient exposure, judgement should less than prescribed limit
Image is under-exposure；
C judges that the regional exposure of image is horizontal when image overall exposing is normal according to the brightness y values of image：
If image size is m*n, described m, n are positive number, are moved in the picture with x pixel of stride for the block template of w*w with size
The dynamic average exposure for calculating each region unit, wherein w, x are the integer value less than m, n；
Each regional exposure situation of image is judged according to the method in step B：
It is exposed more than maximum setting when being less than minimum setting light exposure there are average exposure in image and average exposure being not present
When the region unit of light quantity, assert that the region unit of image is under-exposure；
It is exposed less than minimum setting when being more than maximum setting light exposure there are average exposure in image and average exposure being not present
When the region unit of light quantity, the image region unit overexposure is assert；
When the average exposure of region unit all in image is between minimum setting light exposure and maximum setting light exposure,
Assert that image exposure is normal；
When the region number of blocks that the average exposure in image is more than maximum setting light exposure is more than average exposure less than minimum
When setting the region number of blocks of light exposure, image overexposure is assert, conversely, then assert that image is under-exposure.
3. the method for endoscope LED light automatic brightness adjustment according to claim 1, which is characterized in that step S3 includes
Following steps：
S3-1 is adjusted according to ambient brightness value at this time when image exposure amount is normal：
If ambient brightness range between normal range value L-K, assert that image exposure is normal, then keeps LED light brightness at this time
It is constant；
If ambient brightness value is higher by normal range (NR) L-K, assert to be currently that intermediate region is excessively close, then it is bright to reduce by 1 grade LED light
Degree；
If ambient brightness value is less than normal range (NR) L-K, current intermediate region is assert too far, then increase by 1 grade LED light brightness；
S3-2 is adjusted according to ambient brightness value at this time when image exposure amount is overexposure：
If ambient brightness value in normal range (NR), assert currently excessively close for part, then 1 grade LED light brightness of reduction；
If ambient brightness value is higher than normal range (NR), assert to be currently overexposure state, then reduce by 2 grade LED light brightness；
If ambient brightness value is less than normal range (NR), assert current local excessively close and intermediate region too far, then reduce by 1 grade LED
Lamp brightness；
S3-3 is adjusted according to ambient brightness value at this time when image exposure amount estimated result is to owe to expose：If ambient brightness value
In normal range (NR), assert current part too far, then increase by 1 grade LED light brightness；
If ambient brightness value is higher than normal range (NR), current part is assert too far, intermediate region is excessively close, then reduces by 1 grade LED light
Brightness；
If ambient brightness value is less than normal range (NR), assert to be currently under-exposure state, then improve 2 grade LED light brightness.
4. a kind of endoscope LED of the method based on claim 1-3 any one of them endoscope LED light automatic brightness adjustments
Lamp brightness control system, it is characterised in that：Including image acquisition units, brightness of image analytic unit, light sensor, LED light
Luminance calculation unit and control unit, described image collecting unit acquire image information, and it is bright that output end is connected to described image
Analytic unit is spent, described image luminance analyzing unit carries out image luminance information analysis, output end connection to the image of acquisition
To the image luminance information input terminal of the LED light luminance calculation unit, the light of the light sensor collecting work environment
Information is spent, output end is connected to the working environment brightness information input terminal of the LED light luminance calculation unit, the LED
Lamp luminance calculation unit output end connects described control unit, and described control unit output end connects the brightness control terminal of LED light,
Described control unit adjusts the brightness degree of LED light according to the result of calculation of LED light luminance calculation unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810522615.9A CN108650473B (en) | 2018-05-28 | 2018-05-28 | Method and system for automatically adjusting brightness of endoscope L ED lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810522615.9A CN108650473B (en) | 2018-05-28 | 2018-05-28 | Method and system for automatically adjusting brightness of endoscope L ED lamp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108650473A true CN108650473A (en) | 2018-10-12 |
| CN108650473B CN108650473B (en) | 2020-07-28 |
Family
ID=63758316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810522615.9A Active CN108650473B (en) | 2018-05-28 | 2018-05-28 | Method and system for automatically adjusting brightness of endoscope L ED lamp |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108650473B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109444052A (en) * | 2018-10-29 | 2019-03-08 | 合刃科技（武汉）有限公司 | Hyperspectral imaging devices, imaging system and monitoring method |
| CN109949301A (en) * | 2019-03-26 | 2019-06-28 | 合肥工业大学 | Wireless endoscope camera lighting system |
| CN110013210A (en) * | 2019-03-26 | 2019-07-16 | 合肥工业大学 | The adaptive regulation method and device of wireless endoscope system cold light source brightness |
| CN111861928A (en) * | 2020-07-24 | 2020-10-30 | 深圳开立生物医疗科技股份有限公司 | Method and device for determining endoscope image brightness and related equipment |
| CN112998633A (en) * | 2021-03-03 | 2021-06-22 | 重庆金山医疗器械有限公司 | Control method for light output of endoscope and endoscope system |
| CN114125225A (en) * | 2021-11-18 | 2022-03-01 | 浙江大学 | Endoscope brightness automatic adjustment method, device and system and electronic equipment |
| CN114119418A (en) * | 2021-11-30 | 2022-03-01 | 魅杰光电科技(上海)有限公司 | Illumination control method, apparatus thereof, image processing system, and readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104398231A (en) * | 2014-12-04 | 2015-03-11 | 中国科学院深圳先进技术研究院 | System and method for adjusting stereoscopic endoscope light source brightness |
| CN104580923A (en) * | 2014-12-30 | 2015-04-29 | 重庆金山科技（集团）有限公司 | Exposure device and exposure method for electronic endoscope |
| CN105393945A (en) * | 2015-11-23 | 2016-03-16 | 重庆垠庚生态农业发展有限公司 | Drinking trough |
| JP2017123997A (en) * | 2016-01-13 | 2017-07-20 | オリンパス株式会社 | Imaging system and processing device |
| CN107610187A (en) * | 2017-09-19 | 2018-01-19 | 青岛海信电器股份有限公司 | A kind of control method, device and endoscope system for medical endoscope and image processing device collection image |
-
2018
- 2018-05-28 CN CN201810522615.9A patent/CN108650473B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104398231A (en) * | 2014-12-04 | 2015-03-11 | 中国科学院深圳先进技术研究院 | System and method for adjusting stereoscopic endoscope light source brightness |
| CN104580923A (en) * | 2014-12-30 | 2015-04-29 | 重庆金山科技（集团）有限公司 | Exposure device and exposure method for electronic endoscope |
| CN105393945A (en) * | 2015-11-23 | 2016-03-16 | 重庆垠庚生态农业发展有限公司 | Drinking trough |
| JP2017123997A (en) * | 2016-01-13 | 2017-07-20 | オリンパス株式会社 | Imaging system and processing device |
| CN107610187A (en) * | 2017-09-19 | 2018-01-19 | 青岛海信电器股份有限公司 | A kind of control method, device and endoscope system for medical endoscope and image processing device collection image |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109444052A (en) * | 2018-10-29 | 2019-03-08 | 合刃科技（武汉）有限公司 | Hyperspectral imaging devices, imaging system and monitoring method |
| CN109949301A (en) * | 2019-03-26 | 2019-06-28 | 合肥工业大学 | Wireless endoscope camera lighting system |
| CN110013210A (en) * | 2019-03-26 | 2019-07-16 | 合肥工业大学 | The adaptive regulation method and device of wireless endoscope system cold light source brightness |
| CN111861928A (en) * | 2020-07-24 | 2020-10-30 | 深圳开立生物医疗科技股份有限公司 | Method and device for determining endoscope image brightness and related equipment |
| CN111861928B (en) * | 2020-07-24 | 2024-10-15 | 深圳开立生物医疗科技股份有限公司 | Method and device for determining brightness of endoscope image and related equipment |
| CN112998633A (en) * | 2021-03-03 | 2021-06-22 | 重庆金山医疗器械有限公司 | Control method for light output of endoscope and endoscope system |
| CN114125225A (en) * | 2021-11-18 | 2022-03-01 | 浙江大学 | Endoscope brightness automatic adjustment method, device and system and electronic equipment |
| CN114119418A (en) * | 2021-11-30 | 2022-03-01 | 魅杰光电科技(上海)有限公司 | Illumination control method, apparatus thereof, image processing system, and readable storage medium |
| CN114119418B (en) * | 2021-11-30 | 2024-05-17 | 魅杰光电科技(上海)有限公司 | Illumination control method and apparatus, image processing system, and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108650473B (en) | 2020-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108650473A (en) | The method and system of endoscope LED light automatic brightness adjustment | |
| CN105939451B (en) | Image exposure processing system and method for capsule endoscope system | |
| TWI509569B (en) | Object detecting device | |
| CN107995436A (en) | A kind of light compensation method and device | |
| CN108024056B (en) | Imaging method and device based on dual camera | |
| CN110225248A (en) | Image-pickup method and device, electronic equipment, computer readable storage medium | |
| CN103905724A (en) | Imaging apparatus and lighting control method | |
| JP2011128536A (en) | Imaging apparatus and control method therefor | |
| US20170311872A1 (en) | Organ image capture device and method for capturing organ image | |
| CN104398231B (en) | System and method for adjusting stereoscopic endoscope light source brightness | |
| CN112469978B (en) | Color evaluation device, color evaluation method, and display used in color evaluation method | |
| JP6096298B2 (en) | Backlight correction method, apparatus and terminal | |
| US12087014B2 (en) | Apparatuses, systems, and methods for managing auto-exposure of image frames depicting signal content against a darkened background | |
| JP2007082180A (en) | Imaging apparatus and image processing method | |
| CN113259595A (en) | Image acquisition method, image acquisition device and storage medium | |
| CN107800971B (en) | Auto-exposure control processing method, device and the equipment of pan-shot | |
| CN114125225B (en) | Endoscope brightness automatic adjustment method, device and system and electronic equipment | |
| CN109089054B (en) | Automatic exposure control method, storage medium, and endoscope | |
| WO2016170604A1 (en) | Endoscope device | |
| CN114286014A (en) | Image database acquisition method | |
| CN109978780A (en) | A kind of uroscopy instrument test paper image color correction method | |
| EP3053514A1 (en) | Organ imaging apparatus | |
| CN107959801A (en) | A kind of light-source brightness control system and control method | |
| CN115967861B (en) | Image processing method and device | |
| CN207851851U (en) | Reduce the iris collection device of infrared light supply power consumption |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211110 Address after: 401120 1-1, 2-1, 3-1, building 5, No. 18, Cuiping second lane, Huixing street, Yubei District, Chongqing Patentee after: Chongqing Jinshan Medical Technology Research Institute Co., Ltd Address before: 4011121 office building 1, Jinshan International Industrial City, No. 18, nishang Avenue, Huixing street, Yubei District, Chongqing Patentee before: Chongqing Jinshan Medical Instrument Co., Ltd |
|
| TR01 | Transfer of patent right |