CN106341685A - Image sensor detection method and apparatus thereof - Google Patents
Image sensor detection method and apparatus thereof Download PDFInfo
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- CN106341685A CN106341685A CN201610814178.9A CN201610814178A CN106341685A CN 106341685 A CN106341685 A CN 106341685A CN 201610814178 A CN201610814178 A CN 201610814178A CN 106341685 A CN106341685 A CN 106341685A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
Abstract
The invention is suitable for the image identification field, provides an image sensor detection method and an apparatus thereof and aims at solving problems that detection accuracy and detection efficiency of an image sensor are not high in the prior art. The method comprises the following steps of acquiring image data of test paper collected by an image sensor to be detected, wherein the image data includes pixel points and gray values of the pixel points, the test paper is placed at a preset position, and a relative position of the test paper and the image sensor to be detected is fixed; and according to gray value distribution of the pixel points, detecting quality of the image sensor to be detected. In the technical scheme, through acquiring the image data of the test paper collected by the image sensor to be detected, the quality of the image sensor to be detected is detected according to the gray value distribution of the pixel points in the image data so that a detected data source is ensured to be real and reliable; and a detection process is simple so that the detection accuracy and the detection efficiency of the image sensor are increased.
Description
Technical field
The present invention relates to field of image recognition, more particularly, to a kind of imageing sensor detection method and device.
Background technology
Imageing sensor, especially contact-type image sensor (contact image sensor, cis) are modern visuals
A kind of elemental device of acquisition of information, it chronologically exports inciding the intensity signal being spatially distributed on photosurface and be converted to
Video signal such that it is able to the image information of reconstructed object.In ideal conditions, the illumination being subject to when imageing sensor is equal
When even, the video amplitude of each photosensitive unit output should be identical, but in actual applications, due to by making devices
Technological level, noise, the impact of the factors such as optical system and charge transfer efficiency, imageing sensor occur non-all
Even sex chromosome mosaicism is so that under identical illumination condition, the video amplitude of each photosensitive unit output cannot be identical, sometimes
Even there is larger difference.This heterogeneity of imageing sensor directly affects the acquisition quality of image.
This non-uniformity existing for imageing sensor, the imageing sensor detection method commonly used at present is first
The raw image data that imageing sensor collects is corrected, evades the shadow to raw image data for the non-uniformity
Ring, further according to correction after view data detection image sensor quality, due to this method make of problems original
Data is blanked by correction, therefore easily causes the erroneous judgement to imageing sensor quality, leads to the inspection of imageing sensor
Survey accuracy and detection efficiency is all relatively low, impact is using the product later stage quality of imageing sensor.
Content of the invention
It is an object of the invention to provide a kind of imageing sensor detection method and device are it is intended to solve to scheme in prior art
As the detection accuracy of sensor and the not high problem of detection efficiency.
A first aspect of the present invention, provides a kind of imageing sensor detection method, comprising:
Obtain the view data that imageing sensor to be detected collects to test paper, described image data include pixel and
The gray value of described pixel, described test paper is placed on predeterminated position, and described test paper and described altimetric image to be checked
Relative position between sensor is fixed；
The distribution of the gray value according to described pixel detects the quality of described imageing sensor to be detected.
A second aspect of the present invention, provides a kind of imageing sensor detection means, comprising:
Acquisition module, for obtaining the view data that imageing sensor to be detected collects, described image number to test paper
According to the gray value including pixel and described pixel, described test paper is placed on predeterminated position, and described test paper with
Relative position between described imageing sensor to be detected is fixed；
Detection module, for the matter of the distribution described imageing sensor to be detected of detection of the gray value according to described pixel
Amount.
The beneficial effect that the present invention compared with prior art exists is: by obtaining imageing sensor to be detected to test paper
The view data collecting, and imageing sensor to be detected is detected according to the distribution of the gray value of pixel in view data
Quality it is ensured that detection data source true and reliable, and testing process is simple, thus the detection that improve imageing sensor is accurate
Property and detection efficiency.
Brief description
Fig. 1 is a kind of flow chart of imageing sensor detection method that the embodiment of the present invention one provides；
Fig. 2 is view data in a kind of imageing sensor detection method that the embodiment of the present invention one and embodiment two provide
Schematic diagram；
Fig. 3 is a kind of flow chart of imageing sensor detection method that the embodiment of the present invention two provides；
Fig. 4 is a kind of structural representation of imageing sensor detection means that the embodiment of the present invention three provides；
Fig. 5 is a kind of structural representation of imageing sensor detection means that the embodiment of the present invention four provides.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with drawings and Examples, right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only in order to explain the present invention, and
It is not used in the restriction present invention.
Below in conjunction with concrete accompanying drawing, the realization of the present invention is described in detail.
Embodiment one:
Fig. 1 is a kind of flow chart of imageing sensor detection method that the embodiment of the present invention one provides, and specifically includes step
S101 to s102, details are as follows:
The view data that s101, acquisition imageing sensor to be detected collect to test paper, this view data includes pixel
Point and the gray value of pixel, wherein, test paper is placed on predeterminated position, and test paper and imageing sensor to be detected it
Between relative position fix.
Imageing sensor to be detected is pre- installed appropriately on measurement jig, and the specifications according to imageing sensor to be detected
In clearly parameter determination imageing sensor to be detected and the spacing of test paper, make test paper be placed on predeterminated position, and protect
The relative position held between test paper and imageing sensor to be detected is fixed.
Test paper generally chooses the higher solid color paper of homogeneity of its corresponding image slices vegetarian refreshments, and it can be specifically one
White paper.
Specifically, using imageing sensor to be detected, test paper is carried out with data acquisition, obtain the view data collecting.
This view data includes the gray value of the pixel of image collecting and pixel.
S102, detect the quality of imageing sensor to be detected according to the distribution of the gray value of pixel.
Specifically, in the view data that step s101 collects, the distribution of the gray value of pixel can be as shown in Fig. 2 scheme
2 show the view data curve chart that imageing sensor to be detected collects, and wherein, abscissa represents the pixel collecting,
Vertical coordinate represents the corresponding gray value of the pixel collecting.
It is analyzed to detect the quality of imageing sensor to be detected by the distribution of the gray value to pixel, due to picture
The gray value of vegetarian refreshments is directly to obtain from original view data, and original view data need not be corrected, thus can
Guaranteeing the true and reliable of detection data source, it is to avoid lead to due to correcting the problem of the initial data masking to image
The erroneous judgement of sensor mass.
If it should be understood that change by a relatively large margin in the gray value of pixel, generally relatively steadily, that is,
If the curve ratio in Fig. 2 is relatively steady and trends towards straight line, illustrate that the quality of imageing sensor to be detected is higher, if picture
Change by a relatively large margin in the gray value of vegetarian refreshments, if the curvilinear motion amplitude that is, in Fig. 2 is larger, altimetric image to be checked is described
Sensor second-rate.
In the present embodiment, by obtaining the view data that imageing sensor to be detected collects to test paper, and according to figure
As the distribution of the gray value of pixel in data to detect imageing sensor to be detected quality it is ensured that detection data source true
Reliable, and testing process is simple, thus improve detection accuracy and the detection efficiency of imageing sensor.
Embodiment two:
Fig. 3 is a kind of flow chart of imageing sensor detection method that the embodiment of the present invention two provides, and specifically includes step
S201 to s204, details are as follows:
S201, the exposure time parameter of adjustment imageing sensor to be detected are so that imageing sensor to be detected is to test paper
In default brightness range, wherein, test paper is placed on predeterminated position to the brightness of image collecting, and test paper with treat
Relative position between detection image sensor is fixed.
Imageing sensor to be detected is pre- installed appropriately on measurement jig, and the specifications according to imageing sensor to be detected
In clearly parameter determination imageing sensor to be detected and the spacing of test paper, make test paper be placed on predeterminated position, and protect
The relative position held between test paper and imageing sensor to be detected is fixed.
Test paper generally chooses the higher solid color paper of homogeneity of its corresponding image slices vegetarian refreshments, and it can be specifically one
White paper.
Lead to testing result that deviation occurs in order to avoid the brightness of image due to collecting is different, to be detected by adjusting
The exposure time parameter of imageing sensor is so that imageing sensor to be detected brightness of image that test paper is collected is default
In brightness range, so that being detected under same luminance standard of all imageing sensors to be detected.
Specifically, s2011 and step s2012 can realize this step as follows, describe in detail as follows:
The sampled data of the image that s2011, acquisition imageing sensor to be detected collect to test paper, this sampled data bag
Include the gray value of effective pixel points and effective pixel points.
Specifically, under the current exposure time parameter of imageing sensor to be detected, obtain imageing sensor pair to be detected
The sampled data of the image that test paper collects.
Effective pixel points are the effective pixel of gray value of pixel.In actual application environment, generally pass in image
In the view data that sensor collects, the gray value error of the pixel of start-up portion and ending is larger, needs from picture number
According to middle rejecting, in view data, remaining pixel is effective pixel points.View data curve chart shown in from Fig. 2 can also
Find out, the both sides of curve are that the gray value deviation of the pixel of start-up portion and ending is larger.
Can determine, by way of direct setting start-up portion and ending pixel quantity, the picture needing to reject
Vegetarian refreshments.It should be noted that the quantity of the pixel of start-up portion and ending can be carried out according to the situation of practical application
Setting, is not limited herein.
S2012, adjust imageing sensor to be detected exposure time parameter so that the gray value of effective pixel points average
Value is in default brightness range.
Specifically, adjust the exposure time parameter of imageing sensor to be detected, and adjustment exposure is obtained according to step s2011
The sampled data that imageing sensor to be detected after time parameter collects, calculates the gray value of effective pixel points in sampled data
Meansigma methodss, if this meansigma methods is in default brightness range, preserve the exposure time parameter of current adjustment so that follow-up
Detection process carry out under this exposure time parameter.
It should be noted that default brightness range could be arranged to the maximum gradation value of pixel 60% to 80% it
Between, between [0,255], that is, maximum gradation value is 255 to the span of gray value, but is not limited to this, specifically default
Brightness range can be configured according to practical situation, be not limited herein.
The view data that s202, acquisition imageing sensor to be detected collect to test paper, this view data includes pixel
Point and the gray value of pixel.
Specifically, under the exposure time parameter that step s201 is adjusted, using imageing sensor to be detected to test paper
Carry out data acquisition, obtain the view data collecting, this view data includes the pixel of image collecting and pixel
Gray value.
The stability bandwidth of the gray value of pixel in s203, calculating view data.
Specifically, the stability bandwidth of the gray value of pixel can be realized by step s2031 and step s2032, specifically
Bright as follows:
S2031, the valid pixel point range determining in view data.
Reject the larger start-up portion of gray value error and the pixel of ending in view data after, view data
In remaining pixel belong to valid pixel point range.
Specifically, effective picture can be determined by way of direct setting start-up portion and ending pixel quantity
Vegetarian refreshments scope.It should be noted that the quantity of the pixel of start-up portion and ending can be according to the situation of practical application
It is configured, be not limited herein.
S2032, according to equation below calculate effective pixel points in the range of pixel gray value stability bandwidth:
Wherein, μmeanFor stability bandwidth, pmaxFor the maximum of the gray value in the range of effective pixel points, pminFor valid pixel
The minima of the gray value in point range, pmeanMeansigma methodss for the gray value in the range of effective pixel points.
Specifically, the maximum, of the gray value of the pixel in the range of effective pixel points being determined according to step s2031
Little value and meansigma methodss, calculate the stability bandwidth of the gray value of pixel in view data by above-mentioned formula.
The stability bandwidth of the gray value of pixel represents the undulatory property between pixel, and stability bandwidth is bigger to be represented between pixel
Undulatory property bigger, the concordance between pixel is poorer, conversely, stability bandwidth more little then represent pixel between undulatory property
Less, the concordance between pixel is better.In the ideal case, stability bandwidth is to represent when 0 that the gray value of pixel is complete
Identical, the concordance between pixel reaches optimum, and now the quality of imageing sensor to be detected is optimal.
If s204 stability bandwidth is less than default fluctuation threshold, the testing result exporting imageing sensor to be detected is to close
Lattice.
Specifically, judge whether the stability bandwidth that step s203 calculates is less than default fluctuation threshold, if stability bandwidth is little
In default fluctuation threshold, then the testing result exporting imageing sensor to be detected is qualified, if stability bandwidth is more than or equal to
Default fluctuation threshold, then the testing result exporting imageing sensor to be detected is unqualified.
The span of default fluctuation threshold is [0,1], generally could be arranged to 0.3 or 0.4, but is not limited to
This, specifically default fluctuation threshold can be configured according to practical situation, be not limited herein.
It should be understood that in the embodiment of the present invention, when stability bandwidth is less than default fluctuation threshold, output testing result is
Qualified, in other embodiments or when stability bandwidth be less than or equal to default fluctuation threshold when export testing result
For qualified.
In the present embodiment, by obtaining the view data that imageing sensor to be detected collects to test paper, calculate image
The stability bandwidth of the gray value of pixel in data, and to be checked by judging whether stability bandwidth detects less than default fluctuation threshold
The quality of altimetric image sensor whether qualified it is ensured that detection data source true and reliable, and testing process is simple, thus carrying
The high detection accuracy of imageing sensor and detection efficiency；Meanwhile, by adjusting the time of exposure of imageing sensor to be detected
Parameter, make being detected under same luminance standard of all imageing sensors to be detected, it is to avoid due to the figure collecting
Image brightness is different and lead to testing result that deviation occurs, thus further ensuring the detection accuracy of imageing sensor.
Embodiment three:
Fig. 4 is a kind of structural representation of imageing sensor detection means that the embodiment of the present invention three provides, for the ease of
Illustrate, illustrate only the part related to the embodiment of the present invention.Before a kind of imageing sensor detection means of Fig. 4 example can be
State a kind of executive agent of imageing sensor detection method of embodiment one offer, it can be computer equipment or computer
Functional module in equipment.A kind of imageing sensor detection means of Fig. 4 example includes acquisition module 41 and detection module 42, respectively
Functional module describes in detail as follows:
Acquisition module 41, for obtaining the view data that imageing sensor to be detected collects to test paper, this picture number
According to the gray value including pixel and pixel, wherein, test paper is placed on predeterminated position, and test paper and mapping to be checked
As the relative position between sensor is fixed；
Detection module 42, the distribution for the gray value of the pixel being obtained according to acquisition module 41 detects altimetric image to be checked
The quality of sensor.
In a kind of imageing sensor detection means that the present embodiment provides, each module realizes the process of respective function, specifically may be used
With reference to the description of aforementioned embodiment illustrated in fig. 1, here is omitted.
Knowable to a kind of imageing sensor detection means of above-mentioned Fig. 4 example, in the present embodiment, by obtaining mapping to be checked
View data test paper being collected as sensor, and detected according to the distribution of the gray value of pixel in view data and treat
The quality of detection image sensor it is ensured that detection data source true and reliable, and testing process is simple, thus improve image
The detection accuracy of sensor and detection efficiency.
Example IV:
Fig. 5 is a kind of structural representation of imageing sensor detection means that the embodiment of the present invention four provides, for the ease of
Illustrate, illustrate only the part related to the embodiment of the present invention.Before a kind of imageing sensor detection means of Fig. 5 example can be
State a kind of executive agent of imageing sensor detection method of embodiment two offer, it can be computer equipment or computer
Functional module in equipment.A kind of imageing sensor detection means of Fig. 5 example includes acquisition module 51 and detection module 52, respectively
Functional module describes in detail as follows:
Acquisition module 51, for obtaining the view data that imageing sensor to be detected collects to test paper, this picture number
According to the gray value including pixel and pixel, wherein, test paper is placed on predeterminated position, and test paper and mapping to be checked
As the relative position between sensor is fixed；
Detection module 52, the distribution for the gray value of the pixel being obtained according to acquisition module 51 detects altimetric image to be checked
The quality of sensor.
Further, detection module 52 includes:
Calculating sub module 521, for calculating the stability bandwidth of the gray value of the pixel that acquisition module 51 obtains；
Judging submodule 522, if being less than default fluctuation threshold for the stability bandwidth that calculating sub module 521 calculates,
The testing result exporting imageing sensor to be detected is qualified.
Further, calculating sub module 521 includes:
Scope determining unit 5211, for determining the valid pixel point range in the view data that acquisition module 51 obtains；
Stability bandwidth computing unit 5212, for the valid pixel being determined according to equation below computer capacity determining unit 5211
The stability bandwidth of the gray value of the pixel in point range:
Wherein, μmeanFor stability bandwidth, pmaxFor the maximum of the gray value in the range of effective pixel points, pminFor valid pixel
The minima of the gray value in point range, pmeanMeansigma methodss for the gray value in the range of effective pixel points.
Further, the imageing sensor detection means of the embodiment of the present invention also includes:
Adjusting module 53, for adjusting the exposure time parameter of imageing sensor to be detected so that image sensing to be detected
The brightness of image that device collects to test paper is in default brightness range.
Further, adjusting module 53 includes:
Data sampling submodule 531, for obtaining the sampling of the image that imageing sensor to be detected collects to test paper
Data, this sampled data includes the gray value of effective pixel points and effective pixel points；
Parameter setting submodule 532, for adjusting the exposure time parameter of imageing sensor to be detected so that data sampling
The meansigma methodss of the gray value of the effective pixel points that submodule 531 obtains are in default brightness range.
In a kind of imageing sensor detection means that the present embodiment provides, each module realizes the process of respective function, specifically may be used
With reference to the description of aforementioned embodiment illustrated in fig. 3, here is omitted.
Knowable to a kind of imageing sensor detection means of above-mentioned Fig. 5 example, in the present embodiment, by obtaining mapping to be checked
View data test paper being collected as sensor, calculates the stability bandwidth of the gray value of pixel in view data, and passes through
Judge quality that whether stability bandwidth detects imageing sensor to be detected less than default fluctuation threshold whether qualified it is ensured that inspection
Survey the true and reliable of data source, and testing process is simple, thus improve detection accuracy and the detection effect of imageing sensor
Rate；Meanwhile, by adjust imageing sensor to be detected exposure time parameter, make all imageing sensors to be detected same
Detected under individual luminance standard, it is to avoid the brightness of image due to collecting is different and lead to testing result that deviation occurs, from
And further ensure the detection accuracy of imageing sensor.
It should be noted that each embodiment in this specification is all described by the way of going forward one by one, each embodiment
Stress is all the difference with other embodiment, between each embodiment same or like partly mutually referring to
?.For device class embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, related
Part illustrates referring to the part of embodiment of the method.
It should be noted that in said apparatus embodiment, included modules simply carry out drawing according to function logic
Point, but it is not limited to above-mentioned division, as long as being capable of corresponding function；In addition, each functional module is concrete
Title also only to facilitate mutual distinguish, is not limited to protection scope of the present invention.
It will appreciated by the skilled person that realizing all or part of step in the various embodiments described above method is can
Completed with the hardware instructing correlation by program, corresponding program can be stored in a computer read/write memory medium
In, described storage medium, such as rom/ram, disk or CD etc..
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of imageing sensor detection method is it is characterised in that include:
Obtain the view data that imageing sensor to be detected collects to test paper, described image data includes pixel and described
The gray value of pixel, described test paper is placed on predeterminated position, and described test paper and described image sensing to be detected
Relative position between device is fixed；
The distribution of the gray value according to described pixel detects the quality of described imageing sensor to be detected.
2. imageing sensor detection method according to claim 1 is it is characterised in that the described ash according to described pixel
The distribution of angle value detects that the quality of described imageing sensor to be detected includes:
Calculate the stability bandwidth of the gray value of described pixel；
If described stability bandwidth is less than default fluctuation threshold, the testing result exporting described imageing sensor to be detected is to close
Lattice.
3. imageing sensor detection method according to claim 2 is it is characterised in that the ash of the described pixel of described calculating
The stability bandwidth of angle value includes:
Determine the valid pixel point range in described image data；
The stability bandwidth of the gray value according to the pixel in the range of the equation below described effective pixel points of calculating:
Wherein, μmeanFor described stability bandwidth, pmaxFor the maximum of the gray value in the range of described effective pixel points, pminFor described
The minima of the gray value in the range of effective pixel points, pmeanMeansigma methodss for the gray value in the range of described effective pixel points.
4. the imageing sensor detection method according to any one of claims 1 to 3 is it is characterised in that described acquisition is to be checked
Before the view data that altimetric image sensor collects to test paper, methods described also includes:
Adjust the exposure time parameter of described imageing sensor to be detected so that described imageing sensor to be detected is to described test
The brightness of image that paper collects is in default brightness range.
5. imageing sensor detection method according to claim 4 is it is characterised in that the described altimetric image to be checked of described adjustment
The exposure time parameter of sensor is so that described imageing sensor to be detected brightness of image that described test paper is collected is pre-
If brightness range in include:
Obtain the sampled data to the image that described test paper collects for the described imageing sensor to be detected, described sampled data bag
Include effective pixel points and the gray value of described effective pixel points；
Adjust the exposure time parameter of described imageing sensor to be detected so that the meansigma methodss of the gray value of described effective pixel points
In default brightness range.
6. a kind of imageing sensor detection means is it is characterised in that include:
Acquisition module, for obtaining the view data that imageing sensor to be detected collects, described image packet to test paper
Include pixel and the gray value of described pixel, described test paper is placed on predeterminated position, and described test paper with described
Relative position between imageing sensor to be detected is fixed；
Detection module, for the quality of the distribution described imageing sensor to be detected of detection of the gray value according to described pixel.
7. imageing sensor detection means according to claim 6 is it is characterised in that described detection module includes:
Calculating sub module, for calculating the stability bandwidth of the gray value of described pixel；
Judging submodule, if being less than default fluctuation threshold for described stability bandwidth, exports described imageing sensor to be detected
Testing result be qualified.
8. imageing sensor detection means according to claim 7 is it is characterised in that described calculating sub module includes:
Scope determining unit, for determining the valid pixel point range in described image data；
Stability bandwidth computing unit, for the gray value according to the pixel in the range of the equation below described effective pixel points of calculating
Stability bandwidth:
Wherein, μmeanFor described stability bandwidth, pmaxFor the maximum of the gray value in the range of described effective pixel points, pminFor described
The minima of the gray value in the range of effective pixel points, pmeanMeansigma methodss for the gray value in the range of described effective pixel points.
9. the imageing sensor detection means according to any one of claim 6 to 8 is it is characterised in that described device is also wrapped
Include:
Adjusting module, for adjusting the exposure time parameter of described imageing sensor to be detected so that described altimetric image to be checked passes
The brightness of image that sensor collects to described test paper is in default brightness range.
10. imageing sensor detection means according to claim 9 is it is characterised in that described adjusting module includes:
Data sampling submodule, for obtaining the sampling to the image that described test paper collects for the described imageing sensor to be detected
Data, described sampled data includes effective pixel points and the gray value of described effective pixel points；
Parameter setting submodule, for adjusting the exposure time parameter of described imageing sensor to be detected so that described effective picture
The meansigma methodss of the gray value of vegetarian refreshments are in default brightness range.
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| CN108156452A (en) * | 2017-12-22 | 2018-06-12 | 深圳怡化电脑股份有限公司 | A kind of method, apparatus of detection sensor, equipment and storage medium |
| CN108156452B (en) * | 2017-12-22 | 2020-11-17 | 深圳怡化电脑股份有限公司 | Method, device and equipment for detecting sensor and storage medium |
| CN108195842A (en) * | 2017-12-28 | 2018-06-22 | 无锡精质视觉科技有限公司 | A kind of Novel cable jacket surface flaw detecting instrument and its detection method |
| CN108259892A (en) * | 2018-03-21 | 2018-07-06 | 深圳怡化电脑股份有限公司 | Detection method, system and the device of imaging sensor |
| CN108825007A (en) * | 2018-06-18 | 2018-11-16 | 宁波市鄞州智伴信息科技有限公司 | Vehicle safety early warning system based on radar |
| CN109357687A (en) * | 2018-09-07 | 2019-02-19 | 上海集成电路研发中心有限公司 | A kind of defect inspection method of cmos image sensor |
| CN112233082A (en) * | 2020-10-13 | 2021-01-15 | 深圳市瑞沃德生命科技有限公司 | Automatic exposure method and device for cell image |
| CN112634220A (en) * | 2020-12-17 | 2021-04-09 | 常州市新创智能科技有限公司 | Breakdown image capturing system for composite material glue filling test |
| CN112634220B (en) * | 2020-12-17 | 2021-08-17 | 常州市新创智能科技有限公司 | Breakdown image capturing system for composite material glue filling test |
| CN113542730A (en) * | 2021-06-29 | 2021-10-22 | 深圳市天视通视觉有限公司 | Sensor testing method and device of camera and storage medium |
| CN114697628A (en) * | 2022-06-01 | 2022-07-01 | 龙旗电子(惠州)有限公司 | Image acquisition method, apparatus, device, and medium |
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