CN104811692A - Picture for testing shooting die set and method thereof - Google Patents
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- CN104811692A CN104811692A CN201510166868.3A CN201510166868A CN104811692A CN 104811692 A CN104811692 A CN 104811692A CN 201510166868 A CN201510166868 A CN 201510166868A CN 104811692 A CN104811692 A CN 104811692A
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Abstract
The invention provides a picture for testing shooting die set. The picture is quadrate and comprises a white squares which have the same size and are distributed at intervals; one white square is positioned in the center of the picture, and other white squares are uniformly arranged around the center of the picture; each white square is surrounded with a black area. According to the picture, the shooting die set is used for shooting the image to obtain an image; a plurality of selecting square frames are selected for the image; two ends of each sampling square frame are positioned in the black area, and the middle is positioned in the white square, so that the plurality of sampling square frames are the black-white-black graphics; the MTF value of pixel points in the sampling square frames can be calculated according to the black-white-black graphics; if the MTF value is close to 1, the performance of the tested shooting die set is high; the central area of the picture can be selected through the sampling square frame; the selected sampling square frames are not purely white and can be used for sampling determining, so that the evaluation accuracy of the whole image quality can be improved. The invention further provides a method for testing the shooting die set.
Description
Technical field
The present invention relates to test camera module technical field, particularly relating to a kind of picture for testing camera module and method thereof.
Background technology
Test camera module (Compact Camera Module, CCM) time, generally carry out in light box, a test chart figure is attached to light box top, CCM is placed in the tool on the desktop bottom light box, require desktop and chart figure keeping parallelism, the image acquisition device of CCM takes chart figure under specific light bright ring border, the image data collected is transferred to testing software, the image information that testing software analysis collects, by special algorithm process, judge the resolving power quality of CCM.Due in the diverse location of CCM filmed image, resolving power is different, so usually need to choose zones of different (such as center and four limits) during test to judge overall picture quality.
Be conventionally used to the chart figure of test camera module as shown in Figure 1, four corners tested in chart Figure 100 are four square black blockages 110 (identification color of black blockage is Shadow marks), centre is cross white portion 120.After utilizing camera module to take above-mentioned traditional chart image, a sampling square frame 130 is chosen by testing software, sampling square frame 130 is the figure of Hei-Bai-Hei, according to the figure of Hei-Bai-Hei, the mtf value (Modulation Transfer Function, modular transfer value) of the pixel in sampling square frame can be calculated.Above-mentioned traditional chart figure is used to the mtf value of test pattern, and mtf value can pass through the sharpness (Sharpness) that SFR (spatial frequency response) algorithm weighs image.SFR numerical value is larger, and representative image is sharper keen, and now picture is also more clear.
But the chart figure in Fig. 1, if picture centre region chosen by sampling square frame, then there will be the situation that sampling square frame is all white, and this sampling square frame cannot be used for sampling judgement, therefore, easily causes the assessment of overall picture quality inaccurate.
Summary of the invention
Based on this, be necessary for the problems referred to above, a kind of picture and the method thereof for testing camera module that can improve the assessment accuracy of overall picture quality are provided.
A kind of picture for testing camera module, described picture is square, described picture comprises multiple size white square identical and spaced apart, white square described in one of them is positioned at the center of described picture, other described white square is evenly arranged around the center of described picture, each white square by black region around.
Wherein in an embodiment, the quantity of described white square is five.
Wherein in an embodiment, other four described white square lay respectively at the center in four regions divided equally by the center of picture.
For testing a method for camera module, comprise the following steps:
Camera module is utilized to take the picture for testing camera module, obtain image, wherein said picture is square, described picture comprises multiple size white square identical and spaced apart, white square described in one of them is positioned at the center of described picture, other described white square is evenly arranged around the center of described picture, each white square by black region around;
Be passed on computer by taking the image information obtained;
Testing software in computer chooses multiple sampling square frame to described image, and the two ends of each sampling square frame are positioned at black region, and the middle part of each sampling square frame is positioned at white square, and therefore, multiple described sampling square frames are the figure of Hei-Bai-Hei;
Go out the mtf value of pixel in described sampling square frame according to the graphics calculations of Hei-Bai-Hei, mtf value more close to 1, then represents that tested camera module performance is better.
Wherein in an embodiment, before utilizing camera module to take picture, also comprise step:
Camera module is placed in the bottom of light box;
The picture being used for testing camera module is placed in the top of light box, and described picture and described camera module are parallel to each other.
Wherein in an embodiment, described sampling square frame is rectangle.
Wherein in an embodiment, the long edge transverse direction of described sampling square frame or longitudinal extension.
Wherein in an embodiment, when utilizing described camera module to take picture, respectively when the anti-hand shake device of camera module is not opened and camera module is not shaken, the anti-hand shake device of camera module do not open and camera module shake when and the anti-hand shake device of camera module open and camera module shake when described picture is taken, obtain three width images, multiple sampling square frame is chosen respectively to every piece image, calculate the mtf value of pixel in each sampling square frame, respectively the anti-hand of camera module shake device is not opened and camera module shake when and the anti-hand shake device of camera module open and camera module shake when the image taken in each sampling square frame in the mtf value of pixel and the anti-hand of camera module shake device do not open and camera module is not shaken when the image taken in corresponding each square frame of sampling pixel mtf value compared with, the anti-hand shake device of camera module is not opened and the anti-hand shake device that the mtf value of the situation of camera module shake is more away from camera module is not opened and the mtf value of pixel in each sampling square frame in the image do not taken under jitter conditions of camera module, then represent the larger on the impact of photographic images quality when jitter conditions does not open anti-hand shake device of camera module, the anti-hand shake device of camera module open and the mtf value of camera module jitter conditions more do not open close to the anti-hand shake device of camera module and camera module is not shaken when the image taken in each sampling square frame in the mtf value of pixel, then represent that the function of the anti-hand shake device of camera module is better.
Wherein in an embodiment, the quantity of described white square is five.
Wherein in an embodiment, other four described white square lay respectively at the center in four regions divided equally by the center of picture.
Above-mentioned picture and method thereof for testing camera module at least has the following advantages:
During test, utilize camera module to take picture, obtain image; Picture comprises multiple size white square identical and spaced apart, and one of them white square is positioned at the center of picture, and other white square is evenly arranged around the center of picture, each white square by black region around; Then multiple sampling square frame is chosen to image, the two ends of each sampling square frame are positioned at black region, the middle part of each sampling square frame is positioned at white square, therefore, multiple sampling square frames are the figure of Hei-Bai-Hei, go out to sample according to the graphics calculations of Hei-Bai-Hei the mtf value of pixel in square frame, and mtf value more close to 1, then represents that tested camera module performance is better.Sampling square frame can be chosen the center of picture, and the sampling square frame chosen is not pure white, therefore may be used for sampling and judges, and then improve the assessment accuracy of overall picture quality.And independent one piece of above-mentioned picture just can choose sampling square frame with horizontal or longitudinal, and obtain Hei-Bai-Hei figure, selectable sample region number of blocks is many, is conducive to precise evaluation overall picture quality.
Accompanying drawing explanation
Fig. 1 be conventionally used to test camera module chart figure choose design sketch;
Fig. 2 is for testing the schematic diagram of the picture of camera module in an embodiment of the present invention;
Fig. 3 chooses design sketch for what test the picture of camera module in an embodiment of the present invention;
Fig. 4 chooses design sketch for what test the picture of camera module in another execution mode of the present invention;
Fig. 5 is for testing the schematic flow sheet of the method for camera module in an execution mode.
Embodiment
For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, are described in detail the specific embodiment of the present invention below in conjunction with accompanying drawing.Set forth a lot of detail in the following description so that fully understand the present invention.But the present invention can be much different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar improvement when intension of the present invention, therefore the present invention is by the restriction of following public concrete enforcement.
Term as used herein " vertical ", " level ", "left", "right" and similar statement just for illustrative purposes, do not represent it is unique execution mode.
Unless otherwise defined, all technology used herein and scientific terminology are identical with belonging to the implication that those skilled in the art of the present invention understand usually.The object of term used in the description of the invention herein just in order to describe specific embodiment, is not intended to be restriction the present invention.Term as used herein " and/or " comprise arbitrary and all combinations of one or more relevant Listed Items.
Referring to Fig. 2, is the picture 200 for testing camera module in an execution mode.This picture 200 being used for testing camera module is roughly square.Specific in present embodiment, picture 200 is rectangle.Certainly, in other embodiments, picture 200 also can be square.Picture 200 comprises multiple size white square identical and spaced apart 210, one of them white square 210 is positioned at the center of picture 200, the white square 210 remaining other is evenly arranged around the center of picture 200, each white square 210 by black region 220 around.
Specific in present embodiment, the quantity of white square 210 is five, and one of them white square 210 is positioned at the center of picture 200, and other four white square 210 are arranged around the center of picture 200 equably.Particularly, other four white square 210 lay respectively at the center in four regions divided equally by the center of picture 200.Certainly, in other embodiments, the quantity of white square 210 can also be 7,9 etc.
The above-mentioned picture 200 for testing camera module at least has the following advantages:
During test, camera module is taken picture 200, obtain image, because picture 200 comprises multiple size white square identical and spaced apart 210, one of them white square 210 is positioned at the center of picture 200, other white square 210 is evenly arranged around the center of picture 200, each white square 210 by black region 220 around, so when choosing multiple sampling square frame 230 to image, sampling square frame 230 can be chosen the center of picture 200, and the sampling square frame 230 chosen is not pure white, therefore may be used for sampling to judge, and then improve the assessment accuracy of overall picture quality.And independent one piece of above-mentioned picture just can choose sampling square frame by transverse direction (as shown in Figure 3) or longitudinal direction (as shown in Figure 4), obtain Hei-Bai-Hei figure, selectable sample region number of blocks is many, is conducive to precise evaluation overall picture quality.
Meanwhile, the present invention also provides a kind of method for testing camera module, specifically comprises the following steps:
Step S110, utilizes camera module to take picture, obtains image.Camera module can under specific light conditions pictures taken.Particularly, picture 200 is roughly square.Specific in present embodiment, picture 200 is rectangle.Certainly, in other embodiments, picture 200 also can be square.Picture 200 comprises multiple size white square identical and spaced apart 210, one of them white square 210 is positioned at the center of picture 200, the white square 210 remaining other is evenly arranged around the center of picture 200, each white square 210 by black region 220 around.
Specific in present embodiment, the quantity of white square 210 is five, and one of them white square 210 is positioned at the center of picture 200, and other four white square 210 are arranged around the center of picture 200 equably.Particularly, other four white square 210 lay respectively at the center in four regions divided equally by the center of picture 200.Certainly, in other embodiments, the quantity of white square 210 can also be 7,9 etc.
Certainly, utilizing before camera module takes picture, can also step comprised:
Camera module is placed in the bottom of light box.Such as, can be arranged at by camera module on the desktop bottom light box by special tool, desktop can be horizontal plane.
The picture being used for testing camera module is placed in the top of light box, and picture and camera module are parallel to each other.Ensure that picture and camera module are parallel to each other, be conducive to shooting more clear comprehensive image, be conducive to the accuracy improving assessment.
Step S120, is passed to taking the image information obtained on computer.Such as, by data wire image information can be passed in computer and process.
Step S130, the testing software in computer chooses multiple sampling square frame to image, and the two ends of each sampling square frame are positioned at black region, and the middle part of each sampling square frame is positioned at white square, and therefore, multiple sampling square frames are the figure of Hei-Bai-Hei.The sampling square frame quantity that image is chosen is corresponding with the quantity of white square.Particularly, sampling square frame can be rectangle, and ensure that the two ends of sampling square frame are positioned at black region, middle part is positioned at white square.The long limit of sampling square frame can extend transversely, as shown in Figure 3.Certainly, the long limit of sampling square frame also can extend longitudinally, as shown in Figure 4.
Step S140, the mtf value of the pixel in square frame of going out to sample according to the graphics calculations of Hei-Bai-Hei, mtf value more close to 1, then represents that tested camera module performance is better.All mtf value is calculated to sampling square frames all on image, and judges tested camera module performance according to mtf value: mtf value more close to 1, then represents that tested camera module performance is better.
The above-mentioned method for testing camera module at least has the following advantages:
During test, utilize camera module to take picture, obtain image; Picture comprises multiple size white square identical and spaced apart, and one of them white square is positioned at the center of picture, and other white square is evenly arranged around the center of picture, each white square by black region around; Then multiple sampling square frame is chosen to image, the two ends of each sampling square frame are positioned at black region, the middle part of each sampling square frame is positioned at white square, therefore, multiple sampling square frames are the figure of Hei-Bai-Hei, go out to sample according to the graphics calculations of Hei-Bai-Hei the mtf value of pixel in square frame, and mtf value more close to 1, then represents that tested camera module performance is better.Sampling square frame can be chosen the center of picture, and the sampling square frame chosen is not pure white, therefore may be used for sampling and judges, and then improve the assessment accuracy of overall picture quality.And independent one piece of above-mentioned picture just can choose sampling square frame with horizontal or longitudinal, and obtain Hei-Bai-Hei figure, selectable sample region number of blocks is many, is conducive to precise evaluation overall picture quality.
Certainly, whether the anti-hand shake function adopting above-mentioned method of testing to can also be used to test camera module meets the requirements, and concrete steps are as follows:
When picture being taken with camera module, respectively when the anti-hand shake device of camera module is not opened and camera module is not shaken the anti-hand shake device of (the first situation of called after), camera module do not open and camera module shake when (called after the second situation) and the anti-hand shake device of camera module open and camera module shake when (the third situation of called after) described picture is taken.
Be passed to taking the image information obtained on computer.Such as, by data wire image information can be passed in computer and process.
Testing software in computer chooses multiple sampling square frame respectively to every piece image.The two ends of each sampling square frame are positioned at black region, and the middle part of each sampling square frame is positioned at white square, and therefore, multiple described sampling square frames are the figure of Hei-Bai-Hei.
Calculate the mtf value of pixel in each sampling square frame, and the mtf value of pixel is compared with the mtf value of pixel in each square frame of sampling corresponding in the image taken in the first situation in square frame of each in the image taken in the second situation and in the third situation being sampled respectively, the mtf value of pixel in each sampling square frame in the image taken under the mtf value of pixel is more away from the first situation in each sampling square frame in the image taken in the second situation, then represent the larger on the impact of photographic images quality when jitter conditions does not open anti-hand shake device of camera module.In each sampling square frame in the image taken in the third situation, the mtf value of pixel is more close to the mtf value of pixel in each the sampling square frame in the image taken in the first situation, then represent that the function of the anti-hand shake device of camera module is better.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (10)
1. one kind for testing the picture of camera module, it is characterized in that, described picture is square, described picture comprises multiple size white square identical and spaced apart, white square described in one of them is positioned at the center of described picture, other described white square is evenly arranged around the center of described picture, each white square by black region around.
2. the picture for testing camera module according to claim 1, is characterized in that, the quantity of described white square is five.
3. the picture for testing camera module according to claim 2, is characterized in that, other four described white square lay respectively at the center in four regions divided equally by the center of picture.
4. for testing a method for camera module, it is characterized in that, comprising the following steps:
Camera module is utilized to take the picture for testing camera module, obtain image, wherein said picture is square, described picture comprises multiple size white square identical and spaced apart, white square described in one of them is positioned at the center of described picture, other described white square is evenly arranged around the center of described picture, each white square by black region around;
Be passed on computer by taking the image information obtained;
Testing software in computer chooses multiple sampling square frame to described image, and the two ends of each sampling square frame are positioned at black region, and the middle part of each sampling square frame is positioned at white square, and therefore, multiple described sampling square frames are the figure of Hei-Bai-Hei;
Go out the mtf value of pixel in described sampling square frame according to the graphics calculations of Hei-Bai-Hei, mtf value more close to 1, then represents that tested camera module performance is better.
5. the method for testing camera module according to claim 4, is characterized in that, before utilizing camera module to take picture, also comprises step:
Camera module is placed in the bottom of light box;
The picture being used for testing camera module is placed in the top of light box, and described picture and described camera module are parallel to each other.
6. the method for testing camera module according to claim 4, is characterized in that, described sampling square frame is rectangle.
7. the method for testing camera module according to claim 6, is characterized in that, the long edge transverse direction of described sampling square frame or longitudinal extension.
8. the method for testing camera module according to claim 4, it is characterized in that, when utilizing described camera module to take picture, respectively when the anti-hand shake device of camera module is not opened and camera module is not shaken, the anti-hand shake device of camera module do not open and camera module shake when and the anti-hand shake device of camera module open and camera module shake when described picture is taken, obtain three width images, multiple sampling square frame is chosen respectively to every piece image, calculate the mtf value of pixel in each sampling square frame, respectively the anti-hand of camera module shake device is not opened and camera module shake when and the anti-hand shake device of camera module open and camera module shake when the image taken in each sampling square frame in the mtf value of pixel and the anti-hand of camera module shake device do not open and camera module is not shaken when the image taken in corresponding each square frame of sampling pixel mtf value compared with, the anti-hand shake device of camera module is not opened and the anti-hand shake device that the mtf value of the situation of camera module shake is more away from camera module is not opened and the mtf value of pixel in each sampling square frame in the image do not taken under jitter conditions of camera module, then represent the larger on the impact of photographic images quality when jitter conditions does not open anti-hand shake device of camera module, the anti-hand shake device of camera module open and the mtf value of camera module jitter conditions more do not open close to the anti-hand shake device of camera module and camera module is not shaken when the image taken in each sampling square frame in the mtf value of pixel, then represent that the function of the anti-hand shake device of camera module is better.
9. the method for testing camera module according to claim 4, is characterized in that, the quantity of described white square is five.
10. the method for testing camera module according to claim 9, is characterized in that, other four described white square lay respectively at the center in four regions divided equally by the center of picture.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105163009A (en) * | 2015-08-04 | 2015-12-16 | 南昌欧菲光电技术有限公司 | Picture and method for testing camera module |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271245A (en) * | 2007-03-20 | 2008-09-24 | 安奇逻辑股份有限公司 | Focal point adjusting method and focal point adjusting device in imaging apparatus |
| CN201479319U (en) * | 2009-06-18 | 2010-05-19 | 纮华电子科技（上海）有限公司 | Imaging detection device |
| US20120002058A1 (en) * | 2010-07-05 | 2012-01-05 | Hon Hai Precision Industry Co., Ltd. | Image correction device and method |
| CN103162939A (en) * | 2013-01-07 | 2013-06-19 | 福兴达科技实业（深圳）有限公司 | Camera lens focusing detection method and device using the same |
| CN103731665A (en) * | 2013-12-25 | 2014-04-16 | 广州计量检测技术研究院 | Digital camera image quality comprehensive detection device and method |
-
2015
- 2015-04-09 CN CN201510166868.3A patent/CN104811692B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271245A (en) * | 2007-03-20 | 2008-09-24 | 安奇逻辑股份有限公司 | Focal point adjusting method and focal point adjusting device in imaging apparatus |
| CN201479319U (en) * | 2009-06-18 | 2010-05-19 | 纮华电子科技（上海）有限公司 | Imaging detection device |
| US20120002058A1 (en) * | 2010-07-05 | 2012-01-05 | Hon Hai Precision Industry Co., Ltd. | Image correction device and method |
| CN103162939A (en) * | 2013-01-07 | 2013-06-19 | 福兴达科技实业（深圳）有限公司 | Camera lens focusing detection method and device using the same |
| CN103731665A (en) * | 2013-12-25 | 2014-04-16 | 广州计量检测技术研究院 | Digital camera image quality comprehensive detection device and method |
Cited By (18)
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|---|---|---|---|---|
| CN105163009A (en) * | 2015-08-04 | 2015-12-16 | 南昌欧菲光电技术有限公司 | Picture and method for testing camera module |
| CN105163009B (en) * | 2015-08-04 | 2020-06-16 | 南昌欧菲光电技术有限公司 | Picture and method for testing camera module |
| CN106468852A (en) * | 2015-08-20 | 2017-03-01 | 宁波舜宇光电信息有限公司 | For testing lamp box and its assemble method of camera module |
| CN106468852B (en) * | 2015-08-20 | 2019-06-21 | 宁波舜宇光电信息有限公司 | For testing the lamp box and its assemble method of camera module |
| CN110910394A (en) * | 2015-09-29 | 2020-03-24 | 宁波舜宇光电信息有限公司 | Method for measuring resolution of image module |
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| CN110910394B (en) * | 2015-09-29 | 2022-10-14 | 宁波舜宇光电信息有限公司 | Method for measuring resolution of image module |
| CN105447878A (en) * | 2015-12-14 | 2016-03-30 | 深圳市高斯贝尔家居智能电子有限公司 | Image quality test analysis method and system |
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| CN111045287B (en) * | 2017-08-08 | 2021-08-24 | 广东弘景光电科技股份有限公司 | Detection system of wide-angle camera module |
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| CN104811692B (en) | 2017-09-29 |
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Effective date of registration: 20180929 Address after: 330000 room 1408, red Gucheng tower, 545 Exhibition Road, Nanchang, Jiangxi. Patentee after: Nanchang Institute of virtual reality Limited by Share Ltd Address before: 330013 Nanchang economic and Technological Development Zone, Nanchang, Jiangxi, north of the lilac road and the north of the Longtan canal. Co-patentee before: Nanchang OFilm Tech. Co.,Ltd. Patentee before: NANCHANG OFILM OPTICAL-ELECTRONIC TECH Co.,Ltd. Co-patentee before: Shenzhen OFilm Tech Co.,Ltd. Co-patentee before: Suzhou OFilm Tech. Co.,Ltd. |
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