CN115049643A - Near-to-eye display module interlayer foreign matter detection method, device, equipment and storage medium - Google Patents
Near-to-eye display module interlayer foreign matter detection method, device, equipment and storage medium Download PDFInfo
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- 239000011229 interlayer Substances 0.000 title claims abstract description 82
- 238000001514 detection method Methods 0.000 title claims abstract description 35
- 239000010410 layer Substances 0.000 claims abstract description 49
- 238000000034 method Methods 0.000 claims abstract description 33
- 238000003384 imaging method Methods 0.000 claims abstract description 10
- 230000007547 defect Effects 0.000 claims description 53
- 238000004590 computer program Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 4
- 239000011521 glass Substances 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010030 laminating Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting interlayer foreign matters of a near-eye display module, wherein the method for detecting the interlayer foreign matters of the near-eye display module comprises the following steps: and judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points. The invention can clearly judge the layer of the interlayer foreign matter and improve the detection efficiency of the interlayer foreign matter of the near-eye display module.
Description
Technical Field
The invention relates to the technical field of AOI (automatic Optical Inspection) module appearance detection, in particular to a method, a device, equipment and a storage medium for detecting interlayer foreign matters of a near-to-eye display module.
Background
AR (Augmented Reality) and VR (Virtual Reality) have gradually penetrated into the industries of entertainment, education, medical treatment, and the like as the current high-calorie Virtual sensory interaction technology.
The main platform device currently implementing AR/VR technology is NED (Near-eye display), which is a glass or goggle type wearable display device, and is composed of a micro display panel and imaging optics, and light emitted by the micro display panel close to the eyes is collimated by the imaging optics, so that a virtual image is formed at a distant place where the eyes can comfortably focus.
Use the VR technique as an example, VR glasses are as the use carrier of VR technique, by people more and more purchase and use, and the module quality direct influence customer of VR glasses's impression is experienced, along with people to the continuous pursuit of VR glasses display effect, the quality requirement of VR module is higher and higher.
The current VR module comprises a plurality of lens laminating, and the intermediate layer foreign matter that produces at the laminating in-process can't be cleaned, can influence final customer experience if shipment to the customer scene. At present the outward appearance detects mainly still through artifical the detection, and the manual work can't distinguish when detecting that the foreign matter defect is on which layer, and detection efficiency is low, and the long-time detection fatigue of same personnel or different personnel's detection all can bring detection error.
Disclosure of Invention
In view of the defects in the prior art, the first aspect of the invention provides a method for detecting interlayer foreign matters of a near-eye display module, which can clearly judge the layer where the interlayer foreign matters are located and improve the detection efficiency of the interlayer foreign matters of the near-eye display module.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a method for detecting interlayer foreign matters of a near-eye display module comprises the following steps:
and judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points.
In some embodiments, the determining the layer level of the interlayer foreign matter in the near-eye display module according to the sharpness of the virtual image of the interlayer foreign matter at different focusing points includes:
extracting foreign matter defects generated by interlayer foreign matters according to near-eye display module images acquired under different focusing points;
calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects;
and determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness value peak value and the corresponding focusing point.
In some embodiments, before the extracting the foreign matter defect generated by the interlayer foreign matter, the method further comprises: and carrying out Fourier transform processing on the near-to-eye display module image so as to enhance the contrast ratio of the foreign matter defect.
In some embodiments, the performing fourier transform processing on the near-eye display module image includes:
performing Fourier transform on the near-eye display module image, and converting the image from a time domain to a frequency domain;
and performing band-pass filtering on the frequency domain image to remove background interference, and performing inverse Fourier transform on the filtered frequency domain image.
In some embodiments, the extracting interlayer foreign matter generates a foreign matter defect, including:
setting a gray threshold value, and screening based on the gray threshold value to extract the foreign matter defects generated by the interlayer foreign matter.
In some embodiments, further comprising:
and acquiring near-eye display module images under different focusing points by using a black-and-white area array camera and a detection lens capable of adjusting a focusing point.
In some embodiments, further comprising:
and a light source is arranged between the near-eye display module and the black-and-white area-array camera and the detection lens.
The invention provides a device for detecting interlayer foreign matters of a near-eye display module, which can clearly judge the layer where the interlayer foreign matters are located and improve the detection efficiency of the interlayer foreign matters of the near-eye display module.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a detection apparatus for near-to-eye display module intermediate layer foreign matter includes:
and the judging module is used for judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points.
A third aspect of the present invention provides an apparatus, which can clearly determine a layer where an interlayer foreign object is located, and improve detection efficiency of the interlayer foreign object of a near-eye display module.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
an apparatus comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements the steps of the method for detecting interlayer foreign matter in a near-eye display module.
A fourth aspect of the present invention provides a computer-readable storage medium, which can clearly determine the layer where the interlayer foreign object is located, and improve the detection efficiency of the interlayer foreign object of the near-eye display module.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for detecting interlayer foreign matter in a near-eye display module are implemented.
Compared with the prior art, the invention has the advantages that:
according to the method for detecting the interlayer foreign matter of the near-eye display module, the layer of the interlayer foreign matter in the near-eye display module is judged according to the sharpness of the virtual image of the interlayer foreign matter under different focusing points. Extracting foreign matter defects generated by interlayer foreign matters according to near-eye display module images acquired under different focusing points; calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects; and determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness value peak value and the corresponding focus. Because the sharpness value peak values of the foreign matter defects of different layers are different, the layer where the foreign matter defects are located can be judged by judging the sharpness value peak values of the foreign matter defects of different layers. The method can accurately extract the foreign matter defects, and determine the positions of the defects through multiple times of photographing, thereby greatly improving the detection efficiency of the near-to-eye display module group foreign matter, and effectively replacing manpower.
Drawings
Fig. 1 is a block diagram of an apparatus for implementing a method for detecting interlayer foreign matter in a near-eye display module according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for detecting interlayer foreign matter in a near-eye display module according to an embodiment of the present disclosure;
FIG. 3 is a graph of sharpness of a foreign object defect and a focus position according to an embodiment of the present invention.
Detailed Description
For the purpose of making the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that, the near-eye Display module mainly includes a VR module and an AR module, as shown in fig. 1, taking the VR module as an example, generally, the VR module includes four layers, i.e., L2, Lens, L1, and Display layers from top to bottom according to the illustrated direction, it is understood that interlayer foreign matter may exist in each of the layers L2, Lens, L1, and Display.
The visual detection is mainly still through artifical the detection among the prior art, and the manual work can't distinguish on which layer when detecting, and detection efficiency is low, and the long-time detection fatigue of same personnel or different personnel's detection all can bring detection error's problem. The embodiment of the invention discloses a method for detecting interlayer foreign matters of a near-eye display module, which comprises the following steps:
and judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points.
The invention has the conception that when the interlayer foreign matter is positioned at different layers, the sharpness of the virtual image imaging is different, and based on the characteristic, the layer of the interlayer foreign matter in the near-eye display module can be determined.
In a specific implementation, as shown in fig. 2, the above steps include:
s1, extracting foreign matter defects generated by interlayer foreign matters according to near-eye display module images acquired under different focusing points.
S2, calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects.
And S3, determining the layer of the interlayer foreign matter in the near-to-eye display module according to the sharpness value peak value and the corresponding focus.
The following takes the VR module as an example to further explain the steps S1 to S3:
in step S1, it is worth mentioning that since multiple times of photographing are required and a virtual image formed by a foreign object defect is photographed, the foreign object defect may be slightly imaged due to focusing, in order to process the type of slight defect, a fourier transform process needs to be performed on the VR module image, that is, the VR module image is converted from a time domain to a frequency domain, a band-pass filter is performed on the frequency domain image to remove background interference, and an inverse fourier transform is performed on the filtered frequency domain image.
By adopting the method, the contrast can be enhanced, and the enhanced image can directly extract the foreign matter defects through the gray threshold. The method comprises the steps of screening according to a preset gray threshold value based on the gray threshold value to extract foreign matter defects generated by interlayer foreign matters.
In addition, it should be noted that in the embodiment of the present invention, the black-and-white area array camera and the detection lens capable of adjusting the focus point are used to obtain the VR module images under different focusing points. And adjusting the focus point by modifying the internal parameters of the lens in real time. Because the focus point of the detection lens is adjustable, VR module images under different focus points can be conveniently acquired.
In order to obtain a better shooting effect, in some embodiments, a light source is further disposed between the VR module and the black-and-white area-array camera and the detection lens.
Referring to fig. 1, two light sources symmetrically spaced may be disposed between the VR module and the monochrome area-array camera and the detection lens, so as to make the light as uniform as possible and provide a good shooting environment for the monochrome area-array camera.
After the processing of step S1, a sharpness value, sharpness, also referred to as "sharpness", of the foreign object defect, which is an index reflecting the sharpness of the image plane and the sharpness of the image edge in the field of photography, can be calculated.
It can be understood that different focusing points correspond to different sharpness values, and when the focusing position is selected sufficiently, the focusing points can be connected into a curve, specifically, see the graph of the sharpness value of the foreign object defect and the focusing position in fig. 3.
According to the graph in fig. 3, the peak value of the sharpness value of the foreign matter defect can be conveniently determined, the peak values of the sharpness values of the foreign matter defects of different layers are different, and the layer where the foreign matter defect is located can be judged by judging the peak values of the sharpness values of the foreign matter defects of different layers.
That is, for a VR module comprising four layers: l2, Lens, L1, Display layer, it can be determined in the above manner in which layer of L2, Lens, L1, Display the interlayer foreign matter is.
It should be noted that, by using the method in the embodiment of the present invention, the actual sharpness value peak of the VR module to be detected is obtained, the current VR modules are all unified, and each layer has strict control to ensure that the thickness of each layer is the same (or within a very small deviation range), so that the defect sharpness and the focusing curve of each layer of the VR module are basically fixed, so that the standard of the sharpness value peak of each layer of the VR module can be determined in advance, and then the obtained actual sharpness value peak is compared with the standard of the sharpness value peak, so that the layer type of the interlayer foreign matter in the VR module can be determined.
It is understood that the AR module has a similar structure to the VR module, and the above processing manner for the VR module is also applicable to the AR module, which is not repeated herein.
In summary, in the method for detecting interlayer foreign matter in a near-eye display module according to the present invention, the layer of the interlayer foreign matter in the near-eye display module is determined according to the sharpness of the virtual image of the interlayer foreign matter in different focusing points. Extracting foreign matter defects generated by interlayer foreign matters according to near-eye display module images acquired under different focusing points; calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects; and determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness value peak value and the corresponding focusing point. Because the sharpness value peak values of the foreign matter defects of different layers are different, the layer where the foreign matter defects are located can be judged by judging the sharpness value peak values of the foreign matter defects of different layers. The method can accurately extract the foreign matter defects, and determine the positions of the defects through multiple times of photographing, thereby greatly improving the detection efficiency of the near-eye display module foreign matters and effectively replacing manpower.
The embodiment of the invention also provides a device for detecting the interlayer foreign matter of the near-eye display module, which comprises a judging module, wherein the judging module is used for judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter in different focusing points.
Specifically, the judging module is used for extracting the foreign matter defect generated by the interlayer foreign matter according to the near-eye display module images acquired under different focusing points; calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects; and determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness value peak value and the corresponding focus.
In some embodiments, the determining module is configured to set a gray threshold, and perform screening based on the gray threshold to extract the defect caused by the interlayer foreign matter.
In some embodiments, the detection apparatus further comprises an enhancement module, wherein the enhancement module is configured to perform fourier transform processing on the near-eye display module image to enhance the contrast of the foreign object defect.
Specifically, the enhancement module is used for carrying out Fourier transform on the near-eye display module image and converting the near-eye display module image from a time domain to a frequency domain; and performing band-pass filtering on the frequency domain image to remove background interference, and performing inverse Fourier transform on the filtered frequency domain image.
The embodiment of the present invention further provides an apparatus, which includes a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the method for detecting interlayer foreign matter in a near-eye display module are implemented.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the near-eye display module interlayer foreign matter detection method are realized.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer-readable storage media, which may include computer-readable storage media (or non-transitory media) and communication media (or transitory media).
The term computer-readable storage medium includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
For example, the computer readable storage medium may be an internal storage unit of the electronic device of the foregoing embodiment, such as a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk provided on the electronic device, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like.
The above description is only a specific example of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the embodiments of the present invention, and these modifications or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A near-eye display module interlayer foreign matter detection method is characterized by comprising the following steps:
and judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points.
2. The method as claimed in claim 1, wherein determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness of the virtual image of the interlayer foreign matter at different focusing points comprises:
extracting foreign matter defects generated by interlayer foreign matters according to the near-eye display module images acquired under different focusing points;
calculating sharpness values of the foreign body defects under different focusing points, and determining the peak value of the sharpness values of the foreign body defects;
and determining the layer of the interlayer foreign matter in the near-eye display module according to the sharpness value peak value and the corresponding focus.
3. The method as claimed in claim 2, further comprising, before the step of extracting the defect generated by the interlayer foreign matter: and carrying out Fourier transform processing on the near-to-eye display module image so as to enhance the contrast ratio of the foreign matter defect.
4. The method for detecting the interlayer foreign matter in the near-eye display module according to claim 3, wherein the performing Fourier transform on the near-eye display module image comprises:
performing Fourier transform on the near-eye display module image, and converting the image from a time domain to a frequency domain;
and performing band-pass filtering on the frequency domain image to remove background interference, and performing inverse Fourier transform on the filtered frequency domain image.
5. The method for detecting the interlayer foreign matter of the near-eye display module according to claim 4, wherein the step of extracting the foreign matter defect generated by the interlayer foreign matter comprises the following steps:
setting a gray threshold value, and screening based on the gray threshold value to extract the foreign matter defects generated by the interlayer foreign matter.
6. The method for detecting the interlayer foreign matter in the near-eye display module set of claim 2, further comprising:
and acquiring near-eye display module images under different focusing points by using a black-and-white area array camera and a detection lens capable of adjusting a focusing point.
7. The method for detecting the interlayer foreign matter of the near-eye display module set of claim 6, further comprising:
and a light source is arranged between the near-eye display module and the black-and-white area-array camera and the detection lens.
8. The utility model provides a detection apparatus of near-to-eye display module assembly intermediate layer foreign matter which characterized in that includes:
and the judging module is used for judging the layer of the interlayer foreign matter in the near-eye display module according to the imaging sharpness of virtual images of the interlayer foreign matter under different focusing points.
9. An apparatus comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of a near-eye display module interlayer foreign object detection method as recited in any one of claims 1 to 7.
10. A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for detecting interlayer foreign matter in a near-eye display module according to any one of claims 1 to 7.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2024055662A1 (en) * | 2022-09-13 | 2024-03-21 | 武汉精测电子集团股份有限公司 | Near-eye display module inspection method and inspection system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103188432A (en) * | 2011-12-29 | 2013-07-03 | 汉王科技股份有限公司 | Focus accuracy quantifying judgment device and method |
CN103946732A (en) * | 2011-09-26 | 2014-07-23 | 微软公司 | Video display modification based on sensor input for a see-through near-to-eye display |
CN110007493A (en) * | 2019-03-28 | 2019-07-12 | 凌云光技术集团有限责任公司 | Broken bright spot detection method in liquid crystal display |
CN110178019A (en) * | 2016-12-07 | 2019-08-27 | 奥博泰克有限公司 | Method and apparatus for judging defect quality |
US20190340739A1 (en) * | 2018-05-02 | 2019-11-07 | Samsung Display Co., Ltd. | Defect detection apparatus and method |
CN114170168A (en) * | 2021-11-30 | 2022-03-11 | 苏州华兴源创科技股份有限公司 | Display module defect detection method, system and computer readable storage medium |
CN114820622A (en) * | 2022-06-29 | 2022-07-29 | 苏州希盟科技股份有限公司 | Interlayer foreign matter detection method and device |
-
2022
- 2022-08-11 CN CN202210961507.8A patent/CN115049643A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103946732A (en) * | 2011-09-26 | 2014-07-23 | 微软公司 | Video display modification based on sensor input for a see-through near-to-eye display |
CN103188432A (en) * | 2011-12-29 | 2013-07-03 | 汉王科技股份有限公司 | Focus accuracy quantifying judgment device and method |
CN110178019A (en) * | 2016-12-07 | 2019-08-27 | 奥博泰克有限公司 | Method and apparatus for judging defect quality |
US20190340739A1 (en) * | 2018-05-02 | 2019-11-07 | Samsung Display Co., Ltd. | Defect detection apparatus and method |
CN110007493A (en) * | 2019-03-28 | 2019-07-12 | 凌云光技术集团有限责任公司 | Broken bright spot detection method in liquid crystal display |
CN114170168A (en) * | 2021-11-30 | 2022-03-11 | 苏州华兴源创科技股份有限公司 | Display module defect detection method, system and computer readable storage medium |
CN114820622A (en) * | 2022-06-29 | 2022-07-29 | 苏州希盟科技股份有限公司 | Interlayer foreign matter detection method and device |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2024055662A1 (en) * | 2022-09-13 | 2024-03-21 | 武汉精测电子集团股份有限公司 | Near-eye display module inspection method and inspection system |
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