CN104093016A - Camera module smudginess detection method and system - Google Patents

Camera module smudginess detection method and system Download PDF

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Publication number
CN104093016A
CN104093016A CN201410262027.8A CN201410262027A CN104093016A CN 104093016 A CN104093016 A CN 104093016A CN 201410262027 A CN201410262027 A CN 201410262027A CN 104093016 A CN104093016 A CN 104093016A
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China
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module
image
camera module
data acquisition
camera
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CN201410262027.8A
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CN104093016B (en
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黄震川
黄茜
汤达浚
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Deep sea precision technology (Shenzhen) Co., Ltd.
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South China University of Technology SCUT
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Abstract

The invention discloses a camera module smudginess detection method. The method comprises the following steps: (1), connecting a camera module with a modular data acquisition module, and using a white shielding plate to cover a whole camera visual field scope; (2), the camera module carrying out image acquisition, the modular data acquisition module reading a shielding plate image and storing the image in a cache region of the modular data acquisition module; (3), transmitting the white shielding plate image to the memory of a smudginess detection module of a host computer; and (4), the smudginess detection module of the host computer carrying out smudginess detection on the white shielding plate image. The method and system provided by the invention realize automatic smudginess detection of the camera module and improve the smudginess detection efficiency and accuracy of the camera module.

Description

A kind of dirty detection method of camera module and system
Technical field
The present invention relates to the dirty detection technique of optical camera, particularly the dirty detection method of a kind of camera module and system.
Background technology
The camera the present invention is directed to is mainly the built-in camera module that is applied to the digital products such as mobile phone.This class camera overwhelming majority does not possess optical zoom function, simple in structure and have the darker depth of field.In actual production assembling process, the foreign matters such as dust, hair are fallen on module sensitive chip, and therefore module, before dispatching from the factory, needs to carry out dirty detection after having assembled, to ensure that camera module visual field in real work is not affected by dirty point; In addition, the sensor model number of camera module is many, is compatible multiple sensors, need to set up a kind of general image capture module and obtain image to complete dirty detection.
At present, the dirty detection of camera module is still by manually completing.Image acquisition circuit connects camera, and from camera module acquisition of image data and be sent to PC end and show, workman is at the white shelter of cam lens protecgulum one, and the image generating according to camera carries out dirty differentiation.Although artificial dirty detection method can meet the production requirement of factory, also exist drawback.First, the camera module daily output is large, and workman's repeated observation white covering plate image easily produces visual fatigue.Secondly, because dirty size is little, in camera module optical imaging system, easily because diffraction of light makes dirtyly to generate ill-defined dim region in final digital picture, or dirty four jiaos in visual field sometimes, with dark angle indistinguishable, thereby make some dirty naked eyes be difficult to discover at short notice, reduce the qualification rate of product.
Summary of the invention
In order to overcome the above-mentioned shortcoming and deficiency of prior art, the object of the present invention is to provide the dirty detection method of a kind of camera module, realize and automatically detecting camera module is dirty, improve the dirty detection efficiency of camera module and accuracy rate.
Another object of the present invention is to provide a kind of camera module dirty detection system.
Object of the present invention is achieved through the following technical solutions:
The dirty detection method of a kind of camera module, comprises the following steps:
(1) connect camera module to module data acquisition module, and cover whole camera field range with white covering plate;
(2) camera module carries out IMAQ, and module data acquisition module reads shutter image and is stored to the buffer area of module data acquisition module;
(3) the dirty detection module internal memory to host computer by white shutter image transmitting;
(4) the dirty detection module of host computer carries out dirty detection to white shutter image:
(4-1) white shutter image is carried out to background modeling, background modeling gained model image and original image are carried out to phase reducing, obtain dim edge image;
(4-2) on dim edge image, carrying out border circular areas searches;
(4-3) judge whether to exist dirty: if find border circular areas, judge that camera module is defective; If can not find border circular areas, judge that camera module is qualified.
Step (2) described by the white shutter image reading collecting the buffer area to module data acquisition module, be specially:
Module data acquisition module traversal module database, searches out the module parameter matching with camera module, by module parameter read-in in each register of the transducer of camera module; Module data acquisition module obtains image and stores the buffer area of module data acquisition module into from camera module with constant frame per second.
The described background modeling of step (4-1), is specially:
Be the image slices vegetarian refreshments of 0.2~0.3 times of original image pixel sum by random specified quantity, background is considered as to two-dimentional continuous function, carry out least square method Background fitting according to the gray value of pixel, generation model image.
The described phase reducing of step (4-1), is specially:
The value of model image and the each pixel of original image is carried out to additive operation, draw the result of subtracting each other.
Described border circular areas is searched, and is specially:
The shape of following the tracks of using needs, as template, to each region equating with template size in image, is utilized the similarity in normalized crosscorrelation calculation template and this region, by shape similarity higher than the extracted region of setting threshold out.
The system of the dirty detection method of camera module, comprises
Camera module, for gathering white shutter image; While gathering white shutter image, white covering plate covers whole camera field range;
Module data acquisition module, is electrically connected with camera module; Be used for reading and store white shutter image;
Host computer, is connected by connecting line with module data acquisition module; For white shutter image is carried out to background modeling, background modeling gained modeling image and original image are carried out to difference contrast, obtain dim edge image; By searching carrying out border circular areas on dim edge image, judge that whether camera module is qualified.
Compared with prior art, the present invention has the following advantages and beneficial effect:
(1) the present invention has realized and automatically having detected camera module is dirty, improves the dirty detection efficiency of camera module and accuracy rate, effectively improves accuracy and the speed of the dirty detection of camera, greatly alleviates workman's work load.
(2) the compatible Multiple Type transducer of module data acquisition module energy of the present invention, for the test job of camera module facilitates.
(3) in prior art, need to repeatedly carry out dirty detection to ensure qualification rate to camera module, application the present invention can save the number of repetition of the dirty detection of camera module, enhances productivity.
Brief description of the drawings
Fig. 1 is the schematic diagram of the dirty detection system of camera module of embodiments of the invention employing.
Fig. 2 is the flow chart of the dirty detection method of camera module of embodiments of the invention.
Fig. 3 is the flow chart of the dirty testing process of embodiments of the invention.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
As shown in Figure 1, the dirty detection system of camera module that the present embodiment adopts, comprises host computer 1, the dirty detection servicing unit 2 of camera module, camera module 3 and module data acquisition module 4; The dirty detection servicing unit of camera module, comprises camera module fixing device, the electrical connection of camera module interface, white shutter and relevant mechanical connection component.
Described camera module is used for gathering white shutter image; While gathering white shutter image, white covering plate covers whole camera field range, and available hand-held or machine action covers, its placement location should be as far as possible near the camera lens of camera module, to obtain as far as possible the pure detected image of light scattering; Module data acquisition module is used for reading and stores white shutter image, is realized and being electrically connected with camera module by camera module electrical connection interface; Host computer, module data acquisition module connects by connecting line; For white shutter image is carried out to background modeling, background modeling gained model image and original image are carried out to difference contrast, obtain dim edge image; By searching carrying out border circular areas on dim edge image, judge that whether camera module is qualified.
Host computer can be the digital system that computer, embedded system or framework are close.Host computer also comprises user input device and display device, and input equipment used comprises mouse and keyboard, and display device used comprises computer display screen, LCDs etc.
As shown in Figure 2, the dirty detection method of camera module of the present embodiment, comprises the following steps:
(1) connect camera module to module data acquisition module, and cover whole camera field range with white covering plate;
(2) camera module carries out IMAQ, module data acquisition module reads shutter image and is stored to the buffer area of module data acquisition module, be specially: module data acquisition module traversal module database, search out the module parameter matching with camera module, by module parameter read-in in each register of the transducer of camera module; Module data acquisition module obtains image and stores the buffer area of module data acquisition module into from camera module with constant frame per second.
(3) the dirty detection module internal memory to host computer by white shutter image transmitting;
(4) the dirty detection module of host computer carries out dirty detection to white shutter image, and as shown in Figure 3, dirty testing process is specially:
(4-1) white shutter image is carried out to background modeling, background modeling gained model image and original image are carried out to phase reducing, obtain dim edge image;
Described background modeling, is specially: by random amount be 0.2~0.3 times of original image pixel sum image slices vegetarian refreshments, background is considered as to two-dimentional continuous function, carry out least square method Background fitting according to the gray value of pixel, generation model image;
Described phase reducing, is specially: the value of model image and the each pixel of original image is carried out to additive operation, draw the result of subtracting each other.
(4-2) on dim edge image, carrying out border circular areas searches;
Described border circular areas is searched, the shape of specifically following the tracks of using needs is as template, to each region equating with template size in image, utilize the similarity in normalized crosscorrelation calculation template and this region, by shape similarity higher than the extracted region of setting threshold out.
(4-3) judge whether to exist dirty: if find border circular areas, there is dirty some piece in camera module, judge that camera module is defective, and rule of thumb data calculated dirty some position; If can not find border circular areas, judge that camera module is qualified.
Above-described embodiment is preferably execution mode of the present invention; but embodiments of the present invention are not limited by the examples; other any do not deviate from change, the modification done under Spirit Essence of the present invention and principle, substitutes, combination, simplify; all should be equivalent substitute mode, within being included in protection scope of the present invention.

Claims (6)

1. the dirty detection method of camera module, is characterized in that, comprises the following steps:
(1) connect camera module to module data acquisition module, and cover whole camera field range with white covering plate;
(2) camera module carries out IMAQ, and module data acquisition module reads shutter image and is stored to the buffer area of module data acquisition module;
(3) the dirty detection module internal memory to host computer by white shutter image transmitting;
(4) the dirty detection module of host computer carries out dirty detection to white shutter image:
(4-1) white shutter image is carried out to background modeling, background modeling gained model image and original image are carried out to phase reducing, obtain dim edge image;
(4-2) on dim edge image, carrying out border circular areas searches;
(4-3) judge whether to exist dirty: if find border circular areas, judge that camera module is defective; If can not find border circular areas, judge that camera module is qualified.
2. the dirty detection method of camera module according to claim 1, is characterized in that, step (2) described by the white shutter image reading collecting the buffer area to module data acquisition module, be specially:
Module data acquisition module traversal module database, searches out the module parameter matching with camera module, by module parameter read-in in each register of the transducer of camera module; Module data acquisition module obtains image and stores the buffer area of module data acquisition module into from camera module with constant frame per second.
3. the dirty detection method of camera module according to claim 1, is characterized in that, the described background modeling of step (4-1), is specially:
Be the image slices vegetarian refreshments of 0.2~0.3 times of original image pixel sum by random specified quantity, background is considered as to two-dimentional continuous function, carry out least square method Background fitting according to the gray value of pixel, generation model image.
4. the dirty detection method of camera module according to claim 1, is characterized in that, the described phase reducing of step (4-1), is specially:
The value of model image and the each pixel of original image is carried out to additive operation, draw the result of subtracting each other.
5. the dirty detection method of camera module according to claim 1, is characterized in that, described border circular areas is searched, and is specially:
The shape of following the tracks of using needs, as template, to each region equating with template size in image, is utilized the similarity in normalized crosscorrelation calculation template and this region, by shape similarity higher than the extracted region of setting threshold out.
6. the system that realizes the dirty detection method of camera module claimed in claim 1, is characterized in that, comprises
Camera module, for gathering white shutter image; While gathering white shutter image, white covering plate covers whole camera field range;
Module data acquisition module, is electrically connected with camera module; Be used for reading and store white shutter image;
Host computer, is connected by connecting line with module data acquisition module; For white shutter image is carried out to background modeling, background modeling gained modeling image and original image are carried out to difference contrast, obtain dim edge image; By searching carrying out border circular areas on dim edge image, judge that whether camera module is qualified.
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CN104811690A (en) * 2015-04-01 2015-07-29 广东欧珀移动通信有限公司 Message prompting method and device
CN106226270A (en) * 2016-07-01 2016-12-14 深圳市顶点视觉自动化技术有限公司 The method of the detection dirty defect of image sensor surface
CN106231297A (en) * 2016-08-29 2016-12-14 深圳天珑无线科技有限公司 The detection method of photographic head and device
CN106493096A (en) * 2015-09-08 2017-03-15 鸿富锦精密工业(深圳)有限公司 Camera lens auto cleaning system and camera lens automatic cleaning method
WO2017088594A1 (en) * 2015-11-24 2017-06-01 努比亚技术有限公司 Mobile terminal, information processing method, and computer storage medium
CN108072823A (en) * 2016-11-10 2018-05-25 宁波舜宇光电信息有限公司 A kind of semi-automatic CCM test devices and method
CN108288264A (en) * 2017-12-26 2018-07-17 横店集团东磁有限公司 A kind of dirty test method of wide-angle camera module
CN108600739A (en) * 2018-04-27 2018-09-28 长安大学 A kind of camera lens dust detection and method
CN108668080A (en) * 2018-06-22 2018-10-16 北京小米移动软件有限公司 Prompt method and device, the electronic equipment of camera lens degree of fouling
CN106791807B (en) * 2014-11-24 2018-10-26 歌尔科技有限公司 A kind of method and apparatus of camera module dust detection
CN109060831A (en) * 2018-08-09 2018-12-21 惠州太初科技有限公司 A kind of automatic dirty detection method based on bottom plate fitting
CN109373375A (en) * 2018-09-29 2019-02-22 佛山市云米电器科技有限公司 Intelligent smoke machine precision lens blur self checking method
CN109584219A (en) * 2018-11-15 2019-04-05 广东美的厨房电器制造有限公司 A kind of detection method that photographic device is dirty and cooking equipment
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CN110167815A (en) * 2016-11-21 2019-08-23 蔚来汽车有限公司 Sensor surface object detecting method and system
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CN110855976A (en) * 2019-10-08 2020-02-28 南京云计趟信息技术有限公司 Camera abnormity detection method and device and terminal equipment
CN111277822A (en) * 2017-04-08 2020-06-12 广东弘景光电科技股份有限公司 Camera module lens surface detection device
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CN111724383A (en) * 2020-06-30 2020-09-29 重庆盛泰光电有限公司 Camera module black spot detection system based on turntable
CN112017149A (en) * 2019-05-28 2020-12-01 原相科技股份有限公司 Contamination level determination method and electronic device using the same
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CN113011316A (en) * 2021-03-16 2021-06-22 北京百度网讯科技有限公司 Lens state detection method and device, electronic equipment and medium
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