CN117372324A - Microneedle patch detection method and device, computer equipment and storage medium - Google Patents
Microneedle patch detection method and device, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 claims abstract description 29
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- 238000000605 extraction Methods 0.000 claims description 11
- 238000005516 engineering process Methods 0.000 abstract description 6
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- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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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
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Abstract
The present invention relates to the field of medical technologies, and in particular, to a method and apparatus for detecting a microneedle patch, a computer device, and a storage medium. The method comprises the following steps: acquiring multi-frame microneedle patch images of the microneedle patches; extracting a patch clear image with the definition larger than a preset threshold value from a multi-frame microneedle patch image; comparing the clear patch image with preset standard microneedle data to generate a comparison result; and determining the qualification rate of the microneedle patch according to the comparison result. According to the invention, the patch clear image with the definition reaching the preset threshold and containing the whole microneedle patch is obtained from the multi-frame microneedle patch image, and the qualification rate judgment is carried out based on the patch clear image, so that the qualification rate judgment accuracy of the microneedle patch is improved.
Description
Technical Field
The present invention relates to the field of medical technologies, and in particular, to a method and apparatus for detecting a microneedle patch, a computer device, and a storage medium.
Background
With the continuous development of medical technology, the microneedle technology is applied to more and more medical scenes, and the quality requirements on the microneedles are also higher and higher.
In the existing microneedle production technology, quality detection of microneedles generally depends on photographing detection of the microneedles by a manual detection or visual detection device. For manual detection, because the volume of the micro needle on the micro needle patch is too small, the manual detection cannot meet the requirements of detection precision and mass production. To the detection of shooing, because the microneedle volume is too little, the needle type of microneedle can not be observed in vertical shooting, can only place camera or microneedle paster slope in order to shoot the image of being convenient for observe the needle type, but because different depth of field appear on the microneedle paster after the slope is placed, need adopt different focal lengths to shoot the corresponding position on the microneedle paster just can obtain clear microneedle image. However, as there is no clear boundary between different positions on the patch, the clear area of the imaged microneedle patch image is not clear as shown in fig. 1 (a-c), and the images imaged by different focal lengths cannot be combined into one image to perform complete detection on the whole microneedle patch, so that the judgment of the needle integrity is affected, and the accuracy and efficiency of microneedle patch detection are reduced.
Disclosure of Invention
Based on the above, it is necessary to provide a method, a device, a computer device and a storage medium for detecting a microneedle patch, so as to solve the problems of low accuracy and low efficiency of microneedle patch detection.
A microneedle patch detection method comprising:
acquiring multi-frame microneedle patch images of the microneedle patches;
extracting a patch clear image with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images;
comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and determining the qualification rate of the microneedle patch according to the comparison result.
A microneedle patch detection device, comprising:
the microneedle patch image module is used for acquiring multi-frame microneedle patch images of the microneedle patches;
the patch clear image module is used for extracting patch clear images with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images;
the comparison module is used for comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and the qualification rate module is used for determining the qualification rate of the microneedle patch according to the comparison result.
A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor implementing the microneedle patch detection method described above when executing the computer readable instructions.
One or more readable storage media storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform a microneedle patch detection method as described above.
The microneedle patch detection method, the microneedle patch detection device, the computer equipment and the storage medium are used for acquiring multi-frame microneedle patch images of the microneedle patches; extracting a patch clear image with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images; comparing the clear patch image with preset standard microneedle data to generate a comparison result; and determining the qualification rate of the microneedle patch according to the comparison result. According to the invention, the patch clear image with the definition reaching the preset threshold and containing the whole microneedle patch is obtained from the multi-frame microneedle patch image, and the qualification rate judgment is carried out based on the patch clear image, so that the qualification rate judgment accuracy of the microneedle patch is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIGS. 1 (a-b) are schematic illustrations of microneedle patch images obtained by prior art methods;
FIG. 2 is a schematic view of an application environment of a method for detecting a microneedle patch according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for detecting a microneedle patch according to an embodiment of the invention;
FIG. 4 is a schematic view of the domains of a microneedle patch according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a micro-needle patch detection device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a computer device in accordance with an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method for detecting the microneedle patch provided by the embodiment can be applied to an application environment as shown in fig. 1, wherein a client communicates with a server. Clients include, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server may be implemented by a stand-alone server or a server cluster formed by a plurality of servers.
In an embodiment, as shown in fig. 3, a method for detecting a microneedle patch is provided, and the method is applied to the server in fig. 2, and includes the following steps:
s10, acquiring multi-frame microneedle patch images of the microneedle patches.
A microneedle patch is understood to mean a patch provided with a number of microneedles. Generally, the microneedle patch is used in the medical technical field. The microneedle patch image refers to an image of the microneedle patch. Preferably, the microneedle patch image may be a partial image of the microneedle patch or an entire image of the microneedle patch. Preferably, each frame of microneedle patch image in the multi-frame microneedle patch image is an image obtained by shooting different areas of the microneedle patch by shooting equipment, that is, each frame of microneedle patch image is an imaging picture of different areas on the microneedle patch.
S20, extracting a patch clear image with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images.
It can be understood that the preset threshold is a preset definition threshold, which can be set according to actual requirements. The patch sharp image refers to the complete sharp image of the microneedle patch. Specifically, at least one local clear slice is extracted from each frame of microneedle patch image, and a plurality of local clear slices are obtained. Wherein the local clear slices are different in pairs in the corresponding areas on the microneedle patch. And then, splicing the different local clear slices in pairs to generate a complete clear image of the microneedle patch, namely a patch clear image.
S30, comparing the patch clear image with preset standard microneedle data to generate a comparison result.
It is understood that the preset standard microneedle data refers to preset standard microneedle data. The standard microneedle data is standard data for determining whether or not the needle type, size, and the like of the microneedle on the microneedle patch are acceptable. The comparison result refers to a result generated by comparing the patch clear image with preset standard microneedle data, wherein the result can comprise the number of qualified microneedles and the number of unqualified microneedles in the patch clear image.
S40, determining the qualification rate of the microneedle patch according to the comparison result.
Understandably, the qualification rate of the microneedle patch is evaluated according to the comparison result. For example, when the comparison result shows that the qualified number of the micro-needles in the clear image of the patch is 80 and the number of the micro-needles which do not accord with the preset standard micro-needle data is 20, the qualification rate of the micro-needle patch is 80%.
In steps S10-S40, a multi-frame microneedle patch image of the microneedle patch is acquired; extracting a patch clear image with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images; comparing the clear patch image with preset standard microneedle data to generate a comparison result; and determining the qualification rate of the microneedle patch according to the comparison result. According to the invention, the patch clear image with the definition reaching the preset threshold and containing the whole microneedle patch is obtained from the multi-frame microneedle patch image, and the qualification rate judgment is carried out based on the patch clear image, so that the qualification rate judgment accuracy of the microneedle patch is improved.
Optionally, in step S10, the acquiring a multi-frame microneedle patch image of the microneedle patch includes:
s101, carrying out domain division treatment on the microneedle patch to obtain a plurality of microneedle areas;
s102, shooting a plurality of microneedle areas respectively to obtain a plurality of microneedle patch images.
It can be appreciated that the microneedle patch may be domain-partitioned by a predetermined method. Preferably, the preset method can be to perform domain division treatment on the microneedle patch according to the arrangement characteristics of the microneedles on the microneedle patch. The domain division process refers to a process of dividing the microneedle patch into a plurality of well-defined microneedle areas according to a preset method. As shown in fig. 4, the microneedle patch is divided into 3 well-defined microneedle areas by marked transverse lines or forming bumps at the time of microneedle patch preparation. The microneedle area refers to an area containing a plurality of microneedles, which is obtained by carrying out domain-division treatment on a microneedle patch. After a plurality of well-defined microneedle areas are obtained, the microneedle patch is field-imaged by an imaging device. The split-domain shooting refers to shooting each microneedle area in the microneedle patch. By split-area imaging, one microneedle patch image can be generated for each microneedle area.
In steps S101 and S102, by performing domain division processing on the microneedle patch, a specific number of microneedle areas can be obtained, and based on the microneedle patch image generated by the specific microneedle area, the domain division shooting times can be effectively reduced, the image synthesis rate can be improved, and the efficiency of microneedle patch detection can be effectively improved.
Optionally, in step S102, the capturing the microneedle areas to obtain a plurality of frames of microneedle patch images includes:
s1021, arranging a shooting device corresponding to each microneedle area, and carrying out domain shooting on the microneedle patches through a plurality of shooting devices to obtain a plurality of frames of microneedle patch images.
It will be appreciated that after dividing the microneedle patch into a plurality of microneedle areas, one photographing device may be provided for each microneedle area, and a microneedle patch image of each microneedle area may be acquired by the provided photographing device. Through setting up a plurality of shooting equipment, can improve the acquisition efficiency of microneedle paster image. Secondly, a microneedle area corresponds to a shooting device, and the microneedle area or the shooting device does not need to be moved, so that the stability of image shooting can be ensured, and the quality of microneedle patch images is improved.
Optionally, in step S102, the capturing the microneedle areas to obtain a plurality of frames of microneedle patch images includes:
s1022, setting a shooting device for the microneedle patch, and respectively shooting a plurality of microneedle areas in a split-domain mode through the shooting device to obtain a plurality of frames of microneedle patch images.
It will be appreciated that after the microneedle patch is divided into a plurality of microneedle areas, a microneedle patch image for each microneedle area is acquired by a photographing device. The shooting device can be an automatic focusing shooting camera, can automatically focus each microneedle area, shoots all the microneedle areas one by one, and generates multi-frame microneedle patch images. By shooting the microneedle areas with clear boundaries one by one through one shooting device, the stability of microneedle patch image generation can be ensured.
Optionally, in an embodiment, when the photographing device photographs the microneedle patch, a photographing direction of the photographing device forms an angle of 30-60 degrees with a plane where the microneedle patch is located, which is beneficial to imaging. Preferably, the included angle between the shooting direction of the shooting device and the plane where the microneedle patch is located is set to be 45 degrees, so that the shooting of the microneedle is clearer. Preferably, different shooting orientations can be selected for shooting according to the same shooting angle. Furthermore, dislocation shooting can be adopted to ensure that shooting directions are not overlapped with rows and columns of the microneedle array in parallel, so that the accuracy of image recognition is improved.
Optionally, in step S10, the acquiring a multi-frame microneedle patch image of the microneedle patch includes:
s103, acquiring the microneedle patch image of each row of microneedles in the microneedle patch by dynamic scanning to obtain a plurality of frames of microneedle patch images.
It can be appreciated that in the dynamic scanning process, only one row of microneedles is scanned at a time, and a frame of microneedle patch image is generated. When the dynamic scanning is completed on the microneedle patch, a frame of microneedle patch image is generated for each row of microneedles of the microneedle patch. Preferably, the sharpness of only the locally-distinct region corresponding to the scanned row in each frame of the microneedle patch image is greater than a preset threshold. The microneedle patch images of each row in the microneedle patch are obtained through dynamic scanning, which is equivalent to the microneedle patch images obtained by dividing the microneedle patch according to the rows, so that a large number of microneedle patch images with definite limits can be obtained.
Optionally, in step S20, the extracting a patch clear image with a sharpness greater than a preset threshold from a plurality of frames of microneedle patch images includes:
s201, extracting a plurality of local clear slices from local clear areas in a plurality of frames of microneedle patch images according to a preset extraction rule; the definition of the local definition area is larger than a preset threshold value; the local clear slices are different from each other in the corresponding areas on the microneedle patch;
s202, splicing all the local clear slices to obtain a patch clear image.
It is understood that the preset extraction rule refers to a preset extraction rule. The extraction rules can be configured according to the acquisition mode of the microneedle patch image. The preset threshold is a preset definition threshold, and can be set according to actual requirements. The local clear region refers to a region in the microneedle patch image where the sharpness is greater than a preset threshold. The local clear slice is an image obtained by extracting a local clear region in the microneedle patch image, and the definition of the local clear slice reaches a preset threshold. Specifically, at least one local clear slice is extracted from each frame of microneedle patch image, and a plurality of local clear slices are obtained. Preferably, when a frame of microneedle patch image contains a plurality of local clear areas with the definition being greater than a preset threshold, a local clear slice is generated for each local clear area with the definition being greater than the preset threshold, and after the local clear slice is extracted from all the microneedle patch images, the obtained local clear slices are subjected to de-duplication processing, so that the corresponding areas of each local clear slice on the microneedle patch are different from each other. And splicing the obtained two different local clear slices by an image splicing technology to generate a complete clear image of the microneedle patch, namely a patch clear image.
In steps S201 and S202, the local clear slices of different areas are obtained, so that a patch clear image of the whole microneedle patch is obtained, and the qualification rate judgment is carried out based on the patch clear image, so that the qualification rate judgment accuracy of the microneedle patch is improved.
Optionally, in step S201, the extracting a plurality of locally distinct slices from a locally distinct region in the multi-frame microneedle patch image includes:
s2011, inquiring local clear areas of any row of the micro needles in all the micro needle patch images;
and S2012, extracting the local clear region to generate the local clear slice.
It can be understood that when a plurality of frames of microneedle patch images are acquired through dynamic scanning, after the plurality of frames of microneedle patch images are acquired, a local clear region corresponding to the row of microneedle pairs is queried in all the microneedle patch images, and the local clear region is extracted from the corresponding microneedle patch images, so that a local clear slice is generated. The invention can generate the local clear slices line by line, so that the generated local clear slices have the characteristic of lines, and the synthesis difficulty of the patch clear images is reduced.
Optionally, in step S10, the acquiring a multi-frame microneedle patch image of the microneedle patch includes:
s104, acquiring a video image of the microneedle patch through a mobile camera device;
s105, extracting a plurality of frames of microneedle patch images from the video images.
It can be understood that the video image of the microneedle patch is obtained through the movable camera equipment, so that the multi-angle microneedle patch image of the microneedle patch can be obtained, and the synthesized patch clear image is more accurate.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In one embodiment, a microneedle patch detection device is provided, where the microneedle patch detection device corresponds to the microneedle patch detection method in the above embodiment one by one. As shown in fig. 5, the microneedle patch detection apparatus includes a microneedle patch image module 10, a patch clear image module 20, a comparison module 30, and a qualification rate module 40. The functional modules are described in detail as follows:
a microneedle patch image module 10 for acquiring a plurality of frames of microneedle patch images of the microneedle patch;
a patch clear image module 20, configured to extract a patch clear image with a resolution greater than a preset threshold from a plurality of frames of the microneedle patch images;
the comparison module 30 is configured to compare the patch clear image with preset standard microneedle data to generate a comparison result;
and the qualification rate module 40 is used for determining the qualification rate of the microneedle patch according to the comparison result.
Optionally, the microneedle patch image module 10 includes:
the domain dividing processing unit is used for carrying out domain dividing processing on the microneedle patch to obtain a plurality of microneedle areas;
and the domain shooting unit is used for shooting a plurality of microneedle areas respectively to obtain a plurality of microneedle patch images.
Optionally, the split-domain shooting unit includes:
and the first shooting unit is used for correspondingly arranging shooting equipment in each microneedle area, shooting the microneedle patches in a split-domain mode through a plurality of shooting equipment, and obtaining a plurality of frames of microneedle patch images.
Optionally, the split-domain shooting unit includes:
and the second shooting unit is used for setting shooting equipment aiming at the microneedle patch, and shooting a plurality of microneedle areas in a split-domain mode through the shooting equipment to obtain a plurality of microneedle patch images.
Optionally, the microneedle patch image module 10 includes:
and the dynamic scanning unit is used for acquiring the microneedle patch image of each row of microneedles in the microneedle patch through dynamic scanning to obtain a plurality of frames of microneedle patch images.
Optionally, the patch clear image module 20 includes:
the local clear slice extraction unit is used for extracting a plurality of local clear slices from the local clear areas in the multi-frame microneedle patch images according to a preset extraction rule; the definition of the local definition area is larger than a preset threshold value; the local clear slices are different from each other in the corresponding areas on the microneedle patch;
and the local clear slice splicing unit is used for splicing all the local clear slices to obtain a patch clear image.
Optionally, the local clear slice extraction unit includes:
a local clear area inquiring unit, configured to inquire local clear areas of any row of the microneedles in all the microneedle patch images;
and the local clear slice generation unit is used for extracting the local clear area and generating the local clear slice.
Optionally, the microneedle patch image module 10 includes:
the video image unit is used for acquiring video images of the microneedle patches through the moving camera equipment;
and the microneedle patch image extraction unit is used for extracting a plurality of frames of microneedle patch images from the video image.
For specific limitations of the microneedle patch detection apparatus, reference is made to the above limitations of the microneedle patch detection method, and no further description is given here. The various modules in the microneedle patch detection apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a readable storage medium, an internal memory. The non-volatile storage medium stores an operating system and computer readable instructions. The internal memory provides an environment for the execution of an operating system and computer-readable instructions in a readable storage medium. The network interface of the computer device is for communicating with an external server via a network connection. The computer readable instructions when executed by a processor implement a microneedle patch detection method. The readable storage medium provided by the present embodiment includes a nonvolatile readable storage medium and a volatile readable storage medium.
In one embodiment, a computer device is provided that includes a memory, a processor, and computer readable instructions stored on the memory and executable on the processor, when executing the computer readable instructions, performing the steps of:
acquiring multi-frame microneedle patch images of the microneedle patches; each microneedle patch image comprises at least one local clear area with definition greater than a preset threshold;
extracting a plurality of local clear slices from local clear areas in a plurality of frames of microneedle patch images according to a preset extraction rule; the local clear slices are different from each other in the corresponding areas on the microneedle patch;
splicing all the local clear slices to obtain a patch clear image;
comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and determining the qualification rate of the microneedle patch according to the comparison result.
In one embodiment, one or more computer-readable storage media are provided having computer-readable instructions stored thereon, the readable storage media provided by the present embodiment including non-volatile readable storage media and volatile readable storage media. The readable storage medium has stored thereon computer readable instructions which when executed by one or more processors perform the steps of:
the microneedle patch image module is used for acquiring multi-frame microneedle patch images of the microneedle patches; each microneedle patch image comprises at least one local clear area with definition greater than a preset threshold;
the local clear slice module is used for extracting a plurality of local clear slices from the local clear areas in the multi-frame microneedle patch images according to a preset extraction rule; the local clear slices are different from each other in the corresponding areas on the microneedle patch;
the patch clear image module is used for splicing all the local clear slices to obtain a patch clear image;
the comparison module is used for comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and the qualification rate module is used for determining the qualification rate of the microneedle patch according to the comparison result.
Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by instructing the associated hardware by computer readable instructions stored on a non-volatile readable storage medium or a volatile readable storage medium, which when executed may comprise the above described embodiment methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (12)
1. A method of microneedle patch detection comprising:
acquiring multi-frame microneedle patch images of the microneedle patches;
extracting a patch clear image with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images;
comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and determining the qualification rate of the microneedle patch according to the comparison result.
2. The method of microneedle patch detection of claim 1, wherein the acquiring a multi-frame microneedle patch image of a microneedle patch comprises:
performing domain division treatment on the microneedle patch to obtain a plurality of microneedle areas;
and shooting a plurality of microneedle areas respectively to obtain a plurality of microneedle patch images.
3. The method of detecting a microneedle patch according to claim 2, wherein the photographing a plurality of microneedle areas, respectively, to obtain a plurality of frames of microneedle patch images, includes:
and each microneedle area is correspondingly provided with a shooting device, and the microneedle patches are shot in a split-domain mode through a plurality of shooting devices to obtain a plurality of frames of microneedle patch images.
4. The method of detecting a microneedle patch according to claim 2, wherein the photographing the microneedle areas, respectively, to obtain a plurality of frames of the microneedle patch images, comprises:
and setting a shooting device for the microneedle patch, and respectively shooting a plurality of microneedle areas in a split-domain mode through the shooting device to obtain a plurality of microneedle patch images.
5. The method for detecting a microneedle patch according to claim 3 or 4, wherein the shooting direction of the shooting device is at an angle of 30-60 ° to the plane of the microneedle patch.
6. The method of microneedle patch detection of claim 1, wherein the acquiring a multi-frame microneedle patch image of a microneedle patch comprises:
and obtaining the microneedle patch image of each row of microneedles in the microneedle patch by dynamic scanning to obtain multiple frames of microneedle patch images.
7. The method of detecting a microneedle patch according to claim 1, wherein the extracting a patch-clear image having a sharpness greater than a preset threshold from a plurality of frames of the microneedle patch image comprises:
extracting a plurality of local clear slices from local clear areas in a plurality of frames of microneedle patch images according to a preset extraction rule; the definition of the local definition area is larger than a preset threshold value; the local clear slices are different from each other in the corresponding areas on the microneedle patch;
and splicing all the local clear slices to obtain a patch clear image.
8. The method of microneedle patch detection of claim 6, wherein the extracting a plurality of locally-distinct slices from locally-distinct regions in a plurality of frames of the microneedle patch image comprises:
querying local clear areas of any row of the micro-needles in all the micro-needle patch images;
and extracting the local clear region to generate the local clear slice.
9. The method of microneedle patch detection of claim 1, wherein the acquiring a multi-frame microneedle patch image of a microneedle patch comprises:
acquiring a video image of the microneedle patch through a mobile camera;
and extracting a plurality of frames of microneedle patch images from the video images.
10. A microneedle patch detection device, comprising:
the microneedle patch image module is used for acquiring multi-frame microneedle patch images of the microneedle patches;
the patch clear image module is used for extracting patch clear images with the definition larger than a preset threshold value from a plurality of frames of microneedle patch images;
the comparison module is used for comparing the clear patch image with preset standard microneedle data to generate a comparison result;
and the qualification rate module is used for determining the qualification rate of the microneedle patch according to the comparison result.
11. A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor, when executing the computer readable instructions, implements the microneedle patch detection method of any one of claims 1 to 9.
12. One or more readable storage media storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the microneedle patch detection method of any one of claims 1-9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210790539.6A CN117372324A (en) | 2022-07-06 | 2022-07-06 | Microneedle patch detection method and device, computer equipment and storage medium |
| PCT/CN2023/102262 WO2024007871A1 (en) | 2022-07-06 | 2023-06-26 | Microneedle patch inspection method and apparatus, computer device, and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210790539.6A CN117372324A (en) | 2022-07-06 | 2022-07-06 | Microneedle patch detection method and device, computer equipment and storage medium |
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| CN117372324A true CN117372324A (en) | 2024-01-09 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202210790539.6A Pending CN117372324A (en) | 2022-07-06 | 2022-07-06 | Microneedle patch detection method and device, computer equipment and storage medium |
Country Status (2)
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| CN (1) | CN117372324A (en) |
| WO (1) | WO2024007871A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6603987B2 (en) * | 2000-07-11 | 2003-08-05 | Bayer Corporation | Hollow microneedle patch |
| CN103697838A (en) * | 2013-12-24 | 2014-04-02 | 天津森宇科技发展有限公司 | Machine vision technology-based surface mounted device PIN smoothness detection equipment |
| KR101878414B1 (en) * | 2016-08-12 | 2018-07-13 | 연세대학교 산학협력단 | Micro-needle patch, manufacturing method thereof and diagnosis method using the same |
| CN110136237B (en) * | 2019-05-21 | 2023-12-26 | 武汉珞图数字科技有限公司 | Image processing method, device, storage medium and electronic equipment |
| CN111709937A (en) * | 2020-06-18 | 2020-09-25 | 上海网钜信息科技有限公司 | Method for detecting pin of circuit board based on machine vision |
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- 2022-07-06 CN CN202210790539.6A patent/CN117372324A/en active Pending
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