CN101753833A - Camera module focusing testing method, device, system and testing device - Google Patents
Camera module focusing testing method, device, system and testing device Download PDFInfo
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Abstract
The invention is applicable to the field of image processing, and provides a camera module focusing testing method, a device, a system and a testing device. The method includes the following steps that: the image data of a camera module are acquired; data needed by focusing testing are parsed from the acquired image data; the brightness value edge change gradient of the parsed data needed by focusing testing is analyzed to obtain the black-white junction and contrast thereof of each line of the image; and according to the black-white junction and contrast thereof of each line of the image, an analysis result reflecting image definition is obtained. In the invention, the data needed by focusing testing is parsed from the acquired image data, the brightness value edge change gradient of the parsed data needed by focusing testing is then analyzed to obtain the black-white junction and contrast thereof of each line of the image, the analysis result reflecting image definition is obtained, consequently, the image data transmission speed can be increased during testing, and the affection of the change of ambient brightness can be effectively prevented.
Description
Technical field
The invention belongs to image processing field, relate in particular to a kind of camera module focusing detection method, device, system and checkout equipment.
Background technology
Mobile phone industry development in recent years rapidly, (Complementary Metal-Oxide Semiconductor, CMOS) imageing sensor is that the cell-phone camera head module of core also occupies more and more important position in mobile phone is formed and wherein use complementary metal oxide semiconductors (CMOS).In addition, the pixel of mobile phone cam also has the trend of continuous increase, the main flow camera that mobile phone adopted in the market is 200 ten thousand (MEGA) pixel, and the part mobile phone then loads the camera of 5MEGA pixel, and the imaging pixels of high-end mobile phone develops to the 8MEGA pixel.
In the production process of mobile phone cam, be a wherein comparatively crucial step to camera module focusing.The focusing process is generally as follows: after confirming that the used device of focusing is errorless, elder generation's initialization camera module, utilize image pick-up card image data from the camera module then, and detect its clear picture degree with algorithm after the data that collect are delivered to computer, if unintelligible then regulate camera lens, then change focal length till the value of algorithm gained reaches necessary requirement.
In the data transfer mode process of image pick-up card and computer, the coffret that often uses is USB interface.And the limit transmission speed that meets the capture card of USB 2.0 agreements is 480Mbit/s (being 60M byte/s), and the raw Bayer data that the camera of a 5MEGA pixel produces (Raw Bayer Data, RAW) picture size of form just may reach 5M bytes.If calculate the restriction of going up necessary encapsulation of usb protocol and relevant USB driving force again, 5MEGA pixel camera head is under full resolution, and data were difficult to surpass 5 frame/seconds by the frame per second that USB is transmitted in the computer demonstration.Such speed obviously is difficult to adapt to dynamic and real-time focusing process, will greatly influence the efficient of producing.But, use the capture card cost of non-USB interface relatively costly at present, also be unfavorable for the application of large-scale production.
In addition, existing focusing verification algorithm mostly is the contrast of calculating assigned address, and the calculating of contrast is subjected to illumination, camera lens edge easily (promptly because the limitation of cell-phone camera module, more or less the center brightness that can occur is higher than the phenomenon at edge) etc. the influence of environment, thereby easily inaccurate misleadings focused.
In sum, existing camera module focusing detection method is for the dynamic and real-time focusing process of slow, the very difficult adaptation of the transmission speed of image data, and testing result is affected by environment big.
Summary of the invention
The purpose of the embodiment of the invention is to provide a kind of camera module focusing detection method, be intended to solve existing camera module focusing detection method for slow, very difficult dynamic and real-time focusing process, the testing result big problem affected by environment of adapting to of the transmission speed of image data.
The embodiment of the invention is achieved in that a kind of camera module focusing detection method, and described method comprises the steps:
The view data of acquisition camera module;
From the described view data that collects, parse focusing and detect required data;
The described focusing that parses is detected the brightness value edge variation gradient of required data and analyze, draw the black and white point of interface and the contrast thereof of each row of image;
Black and white point of interface and contrast thereof according to each row of described image draw the analysis result that reflects the picture readability.
Another purpose of the embodiment of the invention is to provide a kind of camera module focusing checkout gear, and described device comprises:
Data acquisition unit is used for the view data of acquisition camera module;
The data parsing unit is used for parsing focusing from the view data that described data acquisition unit collects and detects required data;
The luminance value analysis unit is used for the brightness value edge variation gradient of the required data of the described focusing detection that parses is analyzed, and draws black and white point of interface and contrast thereof of each row of image; And
The point of interface analytic unit is used for drawing the analysis result that reflects the picture readability according to the black and white point of interface and the contrast thereof of each row of described image.
Another purpose of the embodiment of the invention is to provide a kind of camera detection system that comprises above-mentioned camera module focusing checkout gear.
Another purpose of the embodiment of the invention is to provide a kind of checkout equipment that comprises above-mentioned camera detection system.
In embodiments of the present invention, detect required data by from the view data that collects, parsing focusing, again the brightness value edge variation gradient of the required data of focusing detection is analyzed, draw the black and white point of interface and the contrast thereof of each row of image, and further draw the analysis result of reflection picture readability, realized a kind of camera module focusing detection method, image data transmission speed when the energy raising detects camera module focusing, be easy to adapt to dynamic and real-time focusing process, reduced the influence that is subjected to environment when camera module focusing detects, have the brightness that prevents environment to change the influence that brings, the accuracy of focusing significantly improves.
Description of drawings
Fig. 1 is the realization flow figure of the camera module focusing detection method that provides of the embodiment of the invention;
Fig. 2 is the arrangement mode schematic diagram of each color channel of view data of the RAW form that provides of the embodiment of the invention;
Fig. 3 is the arrangement mode schematic diagram of each color channel of view data of the yuv format that provides of the embodiment of the invention;
Fig. 4 (1) is that five ROI of the image that provides of the embodiment of the invention detect schematic diagrames;
Fig. 4 (2) is that nine ROI of the image that provides of the embodiment of the invention detect schematic diagrames;
Fig. 5 is the schematic diagram of the black and white point of interface of the image that provides of the embodiment of the invention;
Fig. 6 is the structural representation of the camera module focusing checkout gear that provides of the embodiment of the invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
In embodiments of the present invention, detect required data by from the view data that collects, parsing focusing, again the brightness value edge variation gradient of the required data of focusing detection is analyzed, draw the black and white point of interface and the contrast thereof of each row of image, and further draw the analysis result that reflects the picture readability, realized a kind of camera module focusing detection method
Fig. 1 shows the realization flow of the camera module focusing detection method that the embodiment of the invention provides, and details are as follows:
In step S101, the view data of acquisition camera module;
In step S102, from the view data that collects, parse focusing and detect required data;
In step S103, the described focusing that parses is detected the brightness value edge variation gradient of required data and analyze, draw the black and white point of interface and the contrast thereof of each row of image;
In step S104, draw the analysis result that reflects the picture readability according to each black and white point of interface of going of image and contrast thereof.
In embodiments of the present invention, can gather view data by the synchronizing signal of acquisition camera module, what collect is a secondary complete image, has comprised the due full detail of image.
Then, resolve focusing and detect required data, step S102 is specially:
Step 1. is carried out channel separation according to the form of image to the view data that collects, and parses the data that focusing detects required passage;
Step 2. parses focusing and detects required key area (Region Of Interest, ROI) data and output from the data of the required passage of focusing detection.
In above-mentioned flow process, the view data that collects from the camera module generally has two classes:
1.RAW the view data of form, this view data are divided into four color channel: Gr, R, Gb and B, arrangement mode as shown in Figure 2.Focus when analyzing, only need Gr passage centralized Analysis, and the data of other three passages can be calculated in single focusing test, wherein the data of Gr passage only account for 1/4 of all images data.
2. be the view data of representative with YUV, arrangement mode as shown in Figure 3, this type of view data is handled by ISP with the view data of RAW form and is got.Focus when analyzing, also only need pay close attention to the data of Y passage, and the data of U, V passage are aberration, the focusing testing producing is not given birth to influence, thereby can calculate in the focusing test, wherein the data of Y passage only account for 1/2 of all images data.
As from the foregoing, can handle the view data that two classes are collected at focusing and do some optimization processes, the data of the passage paid close attention to of output focusing and do not export the data of other irrelevant passages only, conserve transmission bandwidth so in a large number, above-mentioned steps 1 specifically comprises:
1. determine the form of the view data that collects;
2. for the view data of RAW form, parse the wherein data of Gr passage;
3. for the view data of yuv format, parse the wherein data of Y passage.
In addition, it is not that all positions in the piece image are all detected that focusing detects yet, common focusing detects five ROI at image and detects, as Fig. 4 (1), special focusing detects and also only detects at nine ROI, shown in Fig. 4 (2), therefore, in above-mentioned steps 2, from detecting the data of required passage, focusing parsing that focusing detects required five or nine ROI data and by the output of USB serial type bus, the data in these ROI needn't not exported, and can reach the speed that improves transmission when focusing detects not influencing like this.And transmission no longer is limited by the bottleneck of USB transmission speed, and its transmission speed upper limit can reach 480Mbit/s, and has improved display frame rate.Certainly, parsing the required ROI data of focusing detection from the data of the required passage of focusing detection also can be by other bus output.
Then, the brightness value marginalisation variable gradient of the data that receive is analyzed, above-mentioned steps S103 is specially:
Each pixel of each row among the step 1. cycle detection ROI, and respectively with the absolute value of each pixel brightness value and back one pixel brightness value difference as the brightness changing value of each pixel;
The pixel that step 2. is all bigger than the brightness changing value of its forward and backward pixel of being expert at each brightness changing value is defined as the black and white point of interface that it is expert at;
When the black and white edge, the brightness of pixel changes the most violent, be reflected as the black and white point of interface of image, as shown in Figure 5, edge strength is the brightness changing value of pixel 1 among the figure, the brightness changing value of black and white intersection pixel all will be greater than the brightness changing value of its forward and backward two pixels of being expert at, and pixel 1 is the black and white point of interface among Fig. 5.That is to say that right for treating survey line, to all having a pixel to black process in vain or from white, its brightness changing value is greater than the brightness changing value of its forward and backward two pixels from black for each.
Step 3. deducts the contrast that minimum luminance value obtains each black and white point of interface with the maximum brightness value in the setting range before and after each black and white point of interface;
Here, obtain maximum brightness value and minimum luminance value in forward and backward each 10 pixel of black and white point of interface earlier, and the maximum brightness value that obtains and the difference of minimum luminance value are spent as a comparison.
Then, draw analysis result according to each the black and white point of interface and contrast thereof of going in the figure, above-mentioned steps S104 is specially:
Step 1. changes correction value with the brightness changing value of each black and white point of interface divided by the brightness that contrast obtains each black and white point of interface;
Step 2. changes the mean flow rate variation correction value that correction value is determined whole ROI according to the brightness of each black and white point of interface, is analysis result.
After the brightness that obtains each black and white point of interface changes correction value, the brightness that can calculate each black and white point of interface in each row of ROI earlier changes the mean value that correction value can obtain this row brightness variation correction value, change the mean flow rate variation correction value that correction value is calculated whole ROI according to each the row mean flow rate that obtains again, the mean flow rate of the whole ROI that obtains changes correction value and is analysis result.
At this moment, the user can judge that the mean flow rate of the whole ROI that obtains changes correction value and whether reaches set standard, if then thinking to focus finishes, finishes; Otherwise, to the processing of focusing of camera module, execution in step S101, images acquired is judged again.Wherein, set standard is determined after testing according to actual conditions such as customer demand, the controls of production yield.
Certainly, above-mentioned when determining contrast, the number of the forward and backward pixel of consideration, promptly setting range can specifically be determined width, module resolution etc. according to actual graph card situation, reference line.
Change correction value as analysis result by mean flow rate with whole ROI, the accuracy of focusing significantly improves, is subjected to the influence of environment little relatively, because what this method was mainly judged is the acutance of image in the black and white edge variation, the change of its value when environmental change is local, and the fog-level of image can influence its value size.Simultaneously, change correction value as analysis result by mean flow rate with whole ROI, can also there be the brightness that prevents environment to change the influence that brings, (ModulationTransfer Function, MTF) value is used as analysis result higher accuracy by calculating modulation transfer functions than having now.
One of ordinary skill in the art will appreciate that, realize that all or part of step in the foregoing description method is to instruct relevant hardware to finish by program, described program can be in being stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk, CD etc., this program is used for carrying out following steps:
1. the view data of acquisition camera module;
2. from the view data that collects, parse focusing and detect required data;
3. the brightness value edge variation gradient of the required data of the described focusing detection that parses is analyzed, drawn black and white point of interface and contrast thereof of each row of image;
4. black and white point of interface and the contrast thereof according to each row of image draws the analysis result that reflects the picture readability.
Fig. 6 shows the structure of the camera module focusing checkout gear that the embodiment of the invention provides, and only shows the part relevant with the embodiment of the invention for convenience of explanation.
This camera module focusing checkout gear can be used for the camera detection system, and this camera detection system can be used for checkout equipment, for example camera detecting equipment etc.This camera module focusing checkout gear can be to run on the unit that software unit, hardware cell or software and hardware in these checkout equipments combine, also can be used as independently, suspension member is integrated in these checkout equipments or runs in the application system of these checkout equipments, wherein:
Luminance value analysis unit 603 detects the brightness value edge variation gradient of required data and analyzes to the focusing that parses, draw the black and white point of interface and the contrast thereof of each row of image.
Point of interface analytic unit 604 draws the analysis result that reflects the picture readability according to each black and white point of interface of going of described image and contrast thereof.
Wherein, data parsing unit 602 comprises:
Luminance value analysis unit 603 comprises:
The brightness changing value is confirmed module 6031, each pixel of each row among the cycle detection ROI, and respectively with the absolute value of each pixel brightness value and the back one pixel brightness value difference brightness changing value as each pixel, its implementation repeats no more as mentioned above.
Point of interface is confirmed module 6032, and the pixel that each brightness changing value is all bigger than the brightness changing value of its forward and backward pixel of being expert at is defined as the black and white point of interface that it is expert at, and its implementation repeats no more as mentioned above.
Point of interface analytic unit 604 comprises:
Correction value is confirmed module 6041, and the brightness changing value of each black and white point of interface is changed correction value divided by the brightness that its contrast obtains each black and white point of interface, and its implementation repeats no more as mentioned above.
In embodiments of the present invention, detect required data by from the view data that collects, parsing focusing, again the brightness value edge variation gradient of the required data of focusing detection is analyzed, draw the black and white point of interface and the contrast thereof of each row of image, and further draw the analysis result of reflection picture readability, realized a kind of camera module focusing detection method, image data transmission speed when the energy raising detects camera module focusing, be easy to adapt to dynamic and real-time focusing process, reduced the influence that is subjected to environment when camera module focusing detects, have the brightness that prevents environment to change the influence that brings, the accuracy of focusing significantly improves.
In addition, detect required data, can reduce the cost of the camera module focusing detection method that realizes that the embodiment of the invention provides by usb bus output focusing.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1. a camera module focusing detection method is characterized in that, described method comprises the steps:
The view data of acquisition camera module;
From the described view data that collects, parse focusing and detect required data;
The described focusing that parses is detected the brightness value edge variation gradient of required data and analyze, draw the black and white point of interface and the contrast thereof of each row of image;
Black and white point of interface and contrast thereof according to each row of described image draw the analysis result that reflects the picture readability.
2. the method for claim 1 is characterized in that, the described step that parses the required data of focusing detection from the described view data that collects is specially:
Form according to image carries out channel separation to the described view data that collects, and parses the data that focusing detects required passage;
From described focusing detects the data of required passage, parse focusing and detect required key area data and output.
3. method as claimed in claim 2 is characterized in that, described form according to image carries out channel separation to the described view data that collects, and the step that parses the data of the required passage of focusing detection is specially:
Determine the form of the view data that collects;
For the view data of RAW form, parse the wherein data of Gr passage;
For the view data of yuv format, parse the wherein data of Y passage.
4. method as claimed in claim 2 is characterized in that, described brightness value edge variation gradient to the required data of the described focusing detection that parses is analyzed, and draws the black and white point of interface of each row of image and the step of contrast thereof and is specially:
Each pixel of each row in the described key area of cycle detection, and respectively with the absolute value of each pixel brightness value and back one pixel brightness value difference as the brightness changing value of each pixel;
The pixel that each brightness changing value is all bigger than the brightness changing value of its forward and backward pixel of being expert at is defined as the black and white point of interface that it is expert at;
Maximum brightness value in the setting range before and after each black and white point of interface is deducted the contrast that minimum luminance value obtains each black and white point of interface.
5. method as claimed in claim 2 is characterized in that, the described step that draws the analysis result of reflection picture readability according to the black and white point of interface and the contrast thereof of each row of described image is specially:
The brightness changing value of each black and white point of interface is changed correction value divided by the brightness that its contrast obtains each black and white point of interface;
Brightness according to each black and white point of interface changes the mean flow rate variation correction value that correction value is determined whole key area, is analysis result.
6. a camera module focusing checkout gear is characterized in that, described device comprises:
Data acquisition unit is used for the view data of acquisition camera module;
The data parsing unit is used for parsing focusing from the view data that described data acquisition unit collects and detects required data;
The luminance value analysis unit is used for the brightness value edge variation gradient of the required data of the described focusing detection that parses is analyzed, and draws black and white point of interface and contrast thereof of each row of image; And
The point of interface analytic unit is used for drawing the analysis result that reflects the picture readability according to the black and white point of interface and the contrast thereof of each row of described image.
7. device as claimed in claim 6 is characterized in that, described data parsing unit comprises:
The channel separation module is used for according to the form of image the described view data that collects being carried out channel separation, parses the data that focusing detects required passage; And
Module is chosen in the zone, is used for parsing focusing from the data that described focusing detects required passage and detects required key area data and output.
8. device as claimed in claim 7 is characterized in that, described luminance value analysis unit comprises:
The brightness changing value is confirmed module, is used for each pixel of each row of the described key area of cycle detection, and respectively with the absolute value of each pixel brightness value and the back one pixel brightness value difference brightness changing value as each pixel;
Point of interface is confirmed module, is used for the pixel that each brightness changing value is all bigger than the brightness changing value of its forward and backward pixel of being expert at and is defined as the black and white point of interface that it is expert at;
The contrast computing module is used for the maximum brightness value in the setting range before and after each black and white point of interface is deducted the contrast that minimum luminance value obtains each black and white point of interface.
9. device as claimed in claim 7 is characterized in that, described point of interface analytic unit comprises:
Correction value is confirmed module, is used for the brightness changing value of each black and white point of interface is changed correction value divided by the brightness that its contrast obtains each black and white point of interface; And
Computing module is used for changing the mean flow rate variation correction value that correction value is determined whole key area according to the brightness of each black and white point of interface as a result, is analysis result.
10. camera detection system that comprises each described camera module focusing checkout gear of claim 6 to 9.
11. checkout equipment that comprises the described camera detection system of claim 10.
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| CN2008102412829A CN101753833B (en) | 2008-12-17 | 2008-12-17 | Camera module focusing testing method, device, system and testing device |
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| CN103634526A (en) * | 2013-12-05 | 2014-03-12 | Tcl通讯（宁波）有限公司 | Mobile terminal and method for adjusting configuration thereof by aid of camera |
| TWI451184B (en) * | 2012-02-13 | 2014-09-01 | Htc Corp | Focus adjusting method and image capture device thereof |
| CN106878603A (en) * | 2015-12-11 | 2017-06-20 | 东莞东聚电子电讯制品有限公司 | The connection version adjusting method of camera module in smart mobile phone |
| CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和（上海）信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
| CN109078342A (en) * | 2018-08-17 | 2018-12-25 | 浙江大丰实业股份有限公司 | Flybar high maintenance system |
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| JP2003295047A (en) * | 2002-04-05 | 2003-10-15 | Canon Inc | Image pickup device and image pickup system |
| CN1940699A (en) * | 2005-09-26 | 2007-04-04 | 宾得株式会社 | Camera having automatic lens system |
| KR100764436B1 (en) * | 2006-07-13 | 2007-10-05 | 삼성전기주식회사 | Method of comparing the sharpness of color channels of image for auto-focusing |
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| TWI451184B (en) * | 2012-02-13 | 2014-09-01 | Htc Corp | Focus adjusting method and image capture device thereof |
| US9049364B2 (en) | 2012-02-13 | 2015-06-02 | Htc Corporation | Focus adjusting method and image capture device thereof |
| CN103634526A (en) * | 2013-12-05 | 2014-03-12 | Tcl通讯（宁波）有限公司 | Mobile terminal and method for adjusting configuration thereof by aid of camera |
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| CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和（上海）信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
| CN108833770B (en) * | 2018-05-23 | 2020-11-06 | 释码融和（上海）信息科技有限公司 | Image definition calculation method for focusing, calculation device and focusing system |
| CN109078342A (en) * | 2018-08-17 | 2018-12-25 | 浙江大丰实业股份有限公司 | Flybar high maintenance system |
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| CN111629204A (en) * | 2020-06-30 | 2020-09-04 | 重庆盛泰光电有限公司 | Data synchronization method for camera module detection |
| CN111741293A (en) * | 2020-06-30 | 2020-10-02 | 重庆盛泰光电有限公司 | Data synchronization system for camera module detection |
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Effective date of registration: 20170905 Address after: 528400, third A zone, third buildings, No. 7, Tong Tong Road, Tanzhou, Guangdong, Zhenlong, Zhongshan Patentee after: Zhongshan Mingzhiyuan Photoelectric Technology Co.,Ltd. Address before: 518118 Pingshan Road, Pingshan Town, Shenzhen, Guangdong, No. 3001, No. Patentee before: Biyadi Co., Ltd. |
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Granted publication date: 20120704 Termination date: 20201217 |