CN112164058A - Silk-screen area coarse positioning method and device for optical filter and storage medium - Google Patents
Silk-screen area coarse positioning method and device for optical filter and storage medium Download PDFInfo
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- CN112164058A CN112164058A CN202011091887.1A CN202011091887A CN112164058A CN 112164058 A CN112164058 A CN 112164058A CN 202011091887 A CN202011091887 A CN 202011091887A CN 112164058 A CN112164058 A CN 112164058A
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- 230000003287 optical effect Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000007650 screen-printing Methods 0.000 claims abstract description 55
- 238000012216 screening Methods 0.000 claims abstract description 11
- 230000009466 transformation Effects 0.000 claims description 8
- 230000006740 morphological transformation Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
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Abstract
The invention discloses a coarse positioning method for a silk-screen area of a light filter, which comprises the following steps: acquiring an image of a filter to be detected to obtain an image to be detected; carrying out difference processing on the image to be detected to obtain a difference image; extracting a mirror area of the differential image; performing difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area; screening the screen printing candidate area to obtain a screen printing target area; the invention can compatibly position different types of silk-screen areas, and effectively meet different positioning requirements; the invention also discloses a silk-screen area coarse positioning method and a storage medium for the optical filter.
Description
Technical Field
The invention relates to the field of automatic optical detection, in particular to a method and a device for roughly positioning a silk-screen area of an optical filter and a storage medium.
Background
The optical filter is an optical device located inside the camera of the mobile phone and between the lens and the sensor, and has various types, such as an IR cut-off filter, a narrow-band filter, and the like. The IR cut-off filter is the most widely used one, is used for preventing external IR light from entering the sensor, is plated with an antireflection film, can increase the amount of visible light entering the sensor, and is an indispensable key accessory in the current mobile phone camera module.
With the improvement of the photographing level of the current smart phone and the increase of the number of cameras of a single mobile phone, the light filter market meets the challenges of new productivity and quality, and the current manual microscope detection mode cannot meet the current requirements in terms of detection efficiency and detection effect, so that light filter detection equipment based on machine vision comes up.
The optical filter comprises a silk screen area and a mirror area, and various problems exist in the detection of the optical filter in the prior art, wherein one of the problems is the positioning of the silk screen part of the optical filter. And only after the screen printing part of the optical filter is accurately positioned, the defect detection of the subsequent screen printing part can be carried out. Because the optical filters are various in variety and the printing ink, process, shape and the like adopted by silk-screen printing are different, great challenges are brought to silk-screen positioning.
Therefore, a method, an apparatus and a storage medium for coarse positioning of a screen printing area of an optical filter are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a coarse positioning method for a silk-screen area of a filter, which can compatibly position different types of silk-screen areas and effectively meet different positioning requirements.
The invention further aims to provide a coarse positioning device for the silk-screen area of the optical filter, which can compatibly position the silk-screen areas of different types and effectively meet different positioning requirements.
The invention aims to provide a storage medium which can compatibly position different types of silk-screen areas and effectively meet different positioning requirements.
In order to realize the purpose, the invention discloses a coarse positioning method for a silk-screen area of an optical filter, which comprises the following steps:
s1, collecting an image of the optical filter to be detected to obtain an image to be detected;
s2, carrying out difference processing on the image to be detected to obtain a difference image;
s3, extracting a mirror area of the difference image;
s4, performing difference processing on the image to be detected and the mirror area to obtain a silk-screen candidate area;
and S5, screening the screen printing candidate areas to obtain screen printing target areas.
Compared with the prior art, the method has the advantages that after the differential image is obtained by carrying out differential processing on the image to be detected, the differential image is extracted to obtain the mirror surface area, and then the differential processing is carried out on the image to be detected and the mirror surface area to obtain the silk-screen candidate area; on the other hand, the invention does not detect the size and the material of the optical filter to be detected, so that different types of silk-screen areas can be compatibly positioned, and different positioning requirements can be effectively met.
Preferably, the step (2) specifically includes the following steps:
s21, carrying out large-mask mean value filtering processing on the image to be detected to obtain a first processed image;
and S22, performing subtraction processing on the image to be detected and the first processed image to obtain the differential image.
Preferably, the step (3) specifically includes the following steps:
s31, performing threshold segmentation processing on the difference image to obtain a second processed image;
s32, performing morphological transformation processing on the second processed image to obtain a third processed image;
and S33, extracting the mirror surface area of the difference image from the third processed image according to the preset mirror surface area size parameter.
Specifically, the morphological transformation includes an on-operation transformation and a off-operation transformation.
Preferably, the step (4) specifically includes the following steps:
s41, performing difference processing on the image to be detected and the mirror surface area to obtain a first screen printing candidate area;
s42, filling the first screen printing candidate area to obtain a second screen printing candidate area;
s43, performing opening operation processing on the second pan-screen printing candidate area to remove edge interference of the second pan-screen printing candidate area to obtain a third pan-screen printing candidate area;
and S44, extracting the screen printing candidate region from the third screen printing candidate region according to preset screen printing region size parameters.
Preferably, the step (5) specifically includes the following steps:
s51, analyzing the intersection of the screen printing candidate area and the mirror area and the relative position of the screen printing candidate area and the mirror area to obtain a primary screen printing target area;
and S52, sequentially judging the distance between each preliminary silk-screen target area and the boundary of the image to be detected, and screening according to the judgment result to obtain the silk-screen target areas.
Specifically, the step (52) specifically includes the steps of:
s521, if the distance between the current silk-screen candidate area and the boundary of the image to be detected is greater than a preset threshold value, recording the current silk-screen candidate area as a silk-screen target area;
and S522, if the distance between the current silk-screen candidate area and the boundary of the image to be detected is smaller than or equal to a preset threshold value, discarding the current silk-screen candidate area as a non-silk-screen target area.
Correspondingly, the invention also discloses a coarse positioning method for the silk-screen area of the optical filter, which comprises the following steps:
the acquisition module is used for acquiring an image of the optical filter to be detected to obtain an image to be detected;
the first processing module is used for carrying out differential processing on the image to be detected to obtain a differential image;
the second processing module is used for extracting a mirror surface area of the differential image;
the third processing module is used for carrying out difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area;
and the fourth processing module is used for screening the silk-screen candidate area to obtain a silk-screen target area.
Correspondingly, the invention also discloses a storage medium for storing a computer program, and the program is executed by a processor to realize the silk screen area rough positioning method for the optical filter.
Drawings
Fig. 1 is an execution flow chart of the method for coarsely positioning the screen printing area of the optical filter according to the present invention.
Fig. 2 is a connection block diagram of the coarse positioning device for the silk-screen area of the optical filter according to the present invention.
Detailed Description
In order to explain technical contents, structural features, and objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to fig. 1, the method for coarsely positioning the screen printing area of the optical filter in the embodiment includes the following steps:
and S1, acquiring the image of the optical filter to be detected to obtain the image to be detected. In the embodiment, the image of the optical filter to be detected is acquired by the camera, and the existing optical filter has the silk screen area and the mirror area, so that the image to be detected acquired by the camera also has the silk screen area and the mirror area, the image to be detected can have one or more silk screen areas and mirror areas, and the aim of the embodiment is to position the silk screen area in the image to be detected.
And S2, carrying out difference processing on the image to be detected to obtain a difference image.
And S3, extracting the mirror surface area of the difference image.
And S4, performing difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area.
And S5, screening the screen printing candidate areas to obtain screen printing target areas.
Preferably, the step (2) specifically includes the following steps:
and S21, carrying out large-mask mean filtering processing on the image to be detected to obtain a first processed image. The purpose of this step is to reduce noise interference in the image to be detected, and avoid the influence on detection precision due to excessive noise interference of the image to be detected.
And S22, performing subtraction processing on the image to be detected and the first processed image to obtain the differential image. The purpose of this step is to make the silk-screen area in the first processed image have higher resolution through differential processing, so as to facilitate subsequent detection and positioning.
Preferably, the step (3) specifically includes the following steps:
and S31, performing threshold segmentation processing on the differential image to obtain a second processed image.
And S32, performing morphological transformation processing on the second processed image to obtain a third processed image. The morphological transformation in the step comprises open operation transformation and closed operation transformation, and the mirror surface area in the second processed image can be corrected by performing the open operation transformation and the closed operation transformation on the third processed image, so that the subsequent better detection can be facilitated.
And S33, extracting the mirror surface area of the difference image from the third processed image according to the preset mirror surface area size parameter. Since the sizes of different types of filters may be different, the sizes of the corresponding mirror regions may also be different. Therefore, different mirror area parameters are preset for different types of filters, so that different types of mirror areas can be better extracted, and the filters of different types can be compatible.
Preferably, the step (4) specifically includes the following steps:
and S41, performing difference processing on the image to be detected and the mirror surface area to obtain a first screen printing candidate area. The first candidate area for silkscreen obtained in this step can distinguish the approximate position of the silkscreen area.
And S42, filling the first screen printing candidate area to obtain a second screen printing candidate area. The filling method may be color filling or pattern filling, so that the second screen printing candidate area can be distinguished better.
And S43, performing opening operation processing on the second screen printing candidate area to remove the edge interference of the second screen printing candidate area to obtain a third screen printing candidate area.
And S44, extracting the screen printing candidate region from the third screen printing candidate region according to preset screen printing region size parameters. Because the sizes of different types of filters are different, the sizes of the corresponding silk-screen areas are also different. Therefore, different silk-screen area parameters are preset for different types of optical filters, so that different types of silk-screen areas can be better extracted, and the optical filters of different types can be compatible.
Preferably, the step (5) specifically includes the following steps:
and S51, analyzing the intersection of the screen printing candidate area and the mirror area and the relative position of the screen printing candidate area and the mirror area to obtain a primary screen printing target area. The relative position of the silk-screen candidate area and the mirror area is specifically whether the silk-screen area is located inside or outside the mirror area.
And S52, sequentially judging the distance between each preliminary silk-screen target area and the boundary of the image to be detected, and screening according to the judgment result to obtain the silk-screen target areas.
Specifically, the step (52) specifically includes the steps of:
and S521, if the distance between the current silk-screen candidate area and the boundary of the image to be detected is greater than a preset threshold value, recording the current silk-screen candidate area as a silk-screen target area. The step aims to avoid misjudgment caused by the fact that the distance between the current silk-screen candidate area and the boundary of the image to be detected is too small, and the silk-screen area of a common optical filter is not arranged at the edge position, so that the misjudgment rate can be effectively reduced through the judgment.
And S522, if the distance between the current silk-screen candidate area and the boundary of the image to be detected is smaller than or equal to a preset threshold value, discarding the current silk-screen candidate area as a non-silk-screen target area.
Referring to fig. 2, correspondingly, the present invention further discloses a coarse positioning device 100 for a screen printing area of a filter, which includes:
the acquisition module 10 is used for acquiring an image of the optical filter to be detected to obtain an image to be detected;
the first processing module 20 is configured to perform difference processing on the image to be detected to obtain a difference image;
a second processing module 30, configured to extract a mirror area of the difference image;
the third processing module 40 is used for carrying out difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area;
and the fourth processing module 50 screens the screen printing candidate area to obtain a screen printing target area.
Correspondingly, the invention also discloses a storage medium for storing a computer program, and the program is executed by a processor to realize the silk screen area rough positioning method for the optical filter.
With reference to fig. 1 and 2, after obtaining a difference image by performing difference processing on an image to be detected, extracting the difference image to obtain a mirror region, and then performing difference processing on the image to be detected and the mirror region to obtain a silk-screen candidate region, on one hand, the silk-screen candidate region obtained by the processing can have higher identification degree on the image to be detected so as to rapidly position a silk-screen target region in the image to be detected; on the other hand, the invention does not detect the size and the material of the optical filter to be detected, so that different types of silk-screen areas can be compatibly positioned, and different positioning requirements can be effectively met.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, therefore, the present invention is not limited by the appended claims.
Claims (9)
1. A coarse positioning method for a silk-screen area of an optical filter is characterized by comprising the following steps:
acquiring an image of a filter to be detected to obtain an image to be detected;
carrying out difference processing on the image to be detected to obtain a difference image;
extracting a mirror area of the differential image;
performing difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area;
and screening the screen printing candidate area to obtain a screen printing target area.
2. The coarse positioning method for the silk-screen area of the optical filter according to claim 1, wherein the step of performing differential processing on the image to be detected to obtain a differential image specifically comprises the following steps:
carrying out large-mask mean value filtering processing on the image to be detected to obtain a first processed image;
and carrying out subtraction processing on the image to be detected and the first processed image to obtain the difference image.
3. The method for coarsely positioning the screen printing area of the optical filter according to claim 1, wherein the extracting the mirror area of the differential image specifically comprises the following steps:
performing threshold segmentation processing on the difference image to obtain a second processed image;
performing morphological transformation processing on the second processed image to obtain a third processed image;
and extracting the mirror surface area of the difference image from the third processed image according to a preset mirror surface area size parameter.
4. The coarse positioning method for the silk-screen area of the optical filter as claimed in claim 3, wherein: the morphological transformation includes an open-operation transformation and a closed-operation transformation.
5. The coarse positioning method for the silk-screen area of the optical filter according to claim 1, wherein the step of performing difference processing on the image to be detected and the mirror area to obtain a silk-screen candidate area specifically comprises the following steps:
performing difference processing on the image to be detected and the mirror surface area to obtain a first pan-screen printing candidate area;
filling the first pan-screen printing candidate area to obtain a second pan-screen printing candidate area;
performing opening operation processing on the second pan-screen printing candidate area to remove edge interference of the second pan-screen printing candidate area to obtain a third pan-screen printing candidate area;
and extracting the screen printing candidate area from the third screen printing candidate area according to a preset screen printing area size parameter.
6. The coarse positioning method for the silk-screen area of the optical filter according to claim 1, wherein the step of screening the silk-screen candidate area to obtain the silk-screen target area specifically comprises the following steps:
analyzing the intersection of the screen printing candidate area and the mirror area and the relative position of the screen printing candidate area and the mirror area to obtain a primary screen printing target area;
and sequentially judging the distance between each preliminary silk-screen target area and the boundary of the image to be detected, and screening according to a judgment result to obtain the silk-screen target areas.
7. The coarse positioning method for the silk-screen area of the optical filter according to claim 6, wherein the step of sequentially judging the distance between each candidate silk-screen area and the boundary of the image to be detected and obtaining the silk-screen target area by screening according to the judgment result comprises the following steps:
if the distance between the current silk-screen candidate area and the boundary of the image to be detected is larger than a preset threshold value, recording the current silk-screen candidate area as a silk-screen target area;
and if the distance between the current silk-screen candidate area and the boundary of the image to be detected is smaller than or equal to a preset threshold value, discarding the current silk-screen candidate area as a non-silk-screen target area.
8. A coarse positioning method for a silk-screen area of an optical filter is characterized by comprising the following steps:
the acquisition module is used for acquiring an image of the optical filter to be detected to obtain an image to be detected;
the first processing module is used for carrying out differential processing on the image to be detected to obtain a differential image;
the second processing module is used for extracting a mirror surface area of the differential image;
the third processing module is used for carrying out difference processing on the image to be detected and the mirror surface area to obtain a silk-screen candidate area;
and the fourth processing module is used for screening the silk-screen candidate area to obtain a silk-screen target area.
9. A storage medium for storing a computer program, characterized in that: the program is executed by a processor to realize the method for roughly positioning the silk-screen area of the optical filter as set forth in any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113289911A (en) * | 2021-06-04 | 2021-08-24 | 宁波舜宇仪器有限公司 | Defect detection method and system for polyhedral material |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007108185A (en) * | 2006-11-13 | 2007-04-26 | Hoya Corp | Concealed mark detection method for progressive multifocal spectacle lens |
| JP2012088199A (en) * | 2010-10-20 | 2012-05-10 | Yamaha Motor Co Ltd | Method and apparatus for inspecting foreign matter |
| CN107169418A (en) * | 2017-04-18 | 2017-09-15 | 海信集团有限公司 | A kind of obstacle detection method and device |
| CN108896278A (en) * | 2018-05-23 | 2018-11-27 | 精锐视觉智能科技（深圳）有限公司 | A kind of optical filter silk-screen defect inspection method, device and terminal device |
| CN110132981A (en) * | 2019-05-21 | 2019-08-16 | 东莞市瑞图新智科技有限公司 | Piece appearance and size integrated detection equipment and detection method in a kind of optical filter |
| CN110490238A (en) * | 2019-08-06 | 2019-11-22 | 腾讯科技（深圳）有限公司 | A kind of image processing method, device and storage medium |
| CN110910429A (en) * | 2019-11-19 | 2020-03-24 | 普联技术有限公司 | Moving target detection method and device, storage medium and terminal equipment |
| CN111275697A (en) * | 2020-02-10 | 2020-06-12 | 西安交通大学 | Battery silk-screen quality detection method based on ORB feature matching and LK optical flow method |
| CN111429479A (en) * | 2020-03-26 | 2020-07-17 | 中国科学院长春光学精密机械与物理研究所 | Space target identification method based on image integral mean value |
-
2020
- 2020-10-13 CN CN202011091887.1A patent/CN112164058B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007108185A (en) * | 2006-11-13 | 2007-04-26 | Hoya Corp | Concealed mark detection method for progressive multifocal spectacle lens |
| JP2012088199A (en) * | 2010-10-20 | 2012-05-10 | Yamaha Motor Co Ltd | Method and apparatus for inspecting foreign matter |
| CN107169418A (en) * | 2017-04-18 | 2017-09-15 | 海信集团有限公司 | A kind of obstacle detection method and device |
| CN108896278A (en) * | 2018-05-23 | 2018-11-27 | 精锐视觉智能科技（深圳）有限公司 | A kind of optical filter silk-screen defect inspection method, device and terminal device |
| CN110132981A (en) * | 2019-05-21 | 2019-08-16 | 东莞市瑞图新智科技有限公司 | Piece appearance and size integrated detection equipment and detection method in a kind of optical filter |
| CN110490238A (en) * | 2019-08-06 | 2019-11-22 | 腾讯科技（深圳）有限公司 | A kind of image processing method, device and storage medium |
| CN110910429A (en) * | 2019-11-19 | 2020-03-24 | 普联技术有限公司 | Moving target detection method and device, storage medium and terminal equipment |
| CN111275697A (en) * | 2020-02-10 | 2020-06-12 | 西安交通大学 | Battery silk-screen quality detection method based on ORB feature matching and LK optical flow method |
| CN111429479A (en) * | 2020-03-26 | 2020-07-17 | 中国科学院长春光学精密机械与物理研究所 | Space target identification method based on image integral mean value |
Non-Patent Citations (4)
| Title |
|---|
| TAYLOR, R. ET AL.: "Nanofluid-based optical filter optimization for PV/T systems", 《LIGHT: SCIENCE & APPLICATIONS》, 26 October 2012 (2012-10-26), pages 1 - 7 * |
| 于海滨等: "基于区域视差提取的视觉客流统计方法", 《传感技术学报》, no. 07, 15 July 2007 (2007-07-15), pages 1546 - 1550 * |
| 何世超: "医用输液容器组合盖质量视觉检测系统研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 03, 15 March 2016 (2016-03-15), pages 138 - 7285 * |
| 潘晨等: "基于空间和时间差别采样的彩色图像分割", 《计算机工程》, vol. 38, no. 13, 5 July 2012 (2012-07-05), pages 199 - 201 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113289911A (en) * | 2021-06-04 | 2021-08-24 | 宁波舜宇仪器有限公司 | Defect detection method and system for polyhedral material |
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