CN107437244A - A kind of medical bag decorates drop capacity visible detection method - Google Patents

A kind of medical bag decorates drop capacity visible detection method Download PDF

Info

Publication number
CN107437244A
CN107437244A CN201710469241.4A CN201710469241A CN107437244A CN 107437244 A CN107437244 A CN 107437244A CN 201710469241 A CN201710469241 A CN 201710469241A CN 107437244 A CN107437244 A CN 107437244A
Authority
CN
China
Prior art keywords
drop
medical bag
liquid level
decorates
line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710469241.4A
Other languages
Chinese (zh)
Other versions
CN107437244B (en
Inventor
张美杰
张平
张乐宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201710469241.4A priority Critical patent/CN107437244B/en
Publication of CN107437244A publication Critical patent/CN107437244A/en
Application granted granted Critical
Publication of CN107437244B publication Critical patent/CN107437244B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • 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
    • G06T7/0006—Industrial image inspection using a design-rule based approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • 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
    • 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
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction

Abstract

The present invention relates to a kind of medical bag to decorate drop capacity visible detection method, comprises the following steps：S1. the actual value of liquid level when medical bag decorates drop normal capacity is established；S2. on-line real-time measuremen medical bag to be checked decorates the actual value of drop liquid level；S3. by the medical bag to be checked detected in step S2 decorate drop liquid level actual value and step S1 set up normal capacity when liquid level actual value make comparisons, calculate difference therebetween, and generate form；S4. underproof medical bag is decorateeed into drop according to form to reject.The present invention replaces traditional eye-observation and weighting manner detection medical bag to decorate the liquid level of drop by Machine Vision Detection, so that indirect detection drug is packed in bag, whether the capacity of drop is up to standard, avoid people directly and drug contact, beneficial to health, and Detection accuracy is significantly larger than traditional detection mode.

Description

A kind of medical bag decorates drop capacity visible detection method
Technical field
The present invention relates to the technical field of Machine Vision Detection, more particularly to a kind of medical bag to decorate the vision inspection of drop capacity Survey method.
Background technology
The supervision of medical and health is always the most important thing of national development, is related to the people's livelihood.It is medicinal packed in field of medicaments Drop quality testing mainly includes capacity check and chemical composition detects.And traditional capacity check is based on artificial, including people Eye observation and the mode weighed, this kind of detection method due to will and drug contact, all in the presence of it is certain the drawbacks of, to health not Profit.
The content of the invention
It is high to be beneficial to health, Detection accuracy it is an object of the invention to overcome the deficiencies of the prior art and provide one kind Medical bag decorate drop capacity visible detection method.
To achieve the above object, technical scheme provided by the present invention is：It comprises the following steps：
S1. the actual value of liquid level when medical bag decorates drop normal capacity is established；
S2. on-line real-time measuremen medical bag to be checked decorates the actual value of drop liquid level；
S3. the medical bag to be checked that is detected in step S2 is decorateeed into the actual value of drop liquid level and step S1 is set up The actual value of liquid level is made comparisons during normal capacity, calculates difference therebetween, and generate form；
S4. underproof medical bag is decorateeed into drop according to form to reject.By the way that the medical bag to be checked detected is decorateeed into drop The actual value of liquid level is made comparisons when the actual value of liquid level and the normal capacity set up, and measures medical bag to be checked indirectly Whether the capacity for decorateeing drop reaches standard.
Further, the step of step S1 is：Choose the qualified medical bag of more than one piece and decorate drop, when calculating its normal capacity Liquid level after average, using the section of average value positive and negative 0.1% as judge medical bag decorate drop whether qualified mark Quasi- value.
Further, the step S2 on-line real-time measuremens medical bag to be checked decorates the specific of the actual value of drop liquid level Step is as follows：
S21. the image that medical bag to be checked decorates drop is gathered by industrial camera；
S22. image Chinese medicine is calculated to be packed in bag drop length and wide Pixel Dimensions；
S23. the liquid level line being formed by connecting by a plurality of conllinear sub-line section is extracted；
S24. calculate pixel by the liquid level line that a plurality of conllinear sub-line section is formed by connecting to minimum enclosed rectangle bottom away from From (i.e. liquid level)；
S25. the step S22 medical bags obtained are decorateeed into the long pixel obtained with wide Pixel Dimensions value and step S24 of drop The value of distance is converted to actual value.
Further, the step S22 calculates image Chinese medicine and is packed in bag drop length and the specific steps of wide Pixel Dimensions It is as follows：
S221. medicinal polybag edge contour is extracted；
S222. collection union operation is done to all edge contours, draws the contour area of closing；
S223. minimum enclosed rectangle is asked to closed outline region, show that medical bag decorates the long and wide Pixel Dimensions of drop.
Further, the step S221 uses the medicinal polybag edge contour of canny operator extractions.
Further, need to carry out based on a pretreatment for dropping liquid image before the step S23 extractions liquid level line, pretreatment Step is：Point dropping liquid original image element is inverted, difference is then done to a dropping liquid original image and reverse image, to differentiated image Carry out the Local threshold segmentation based on rim detection.
Further, in due to being handled in real image, the liquid level line of extraction is often not continuous, but divide into length It is short to differ, the different sub-line section in direction, so being fitted liquid level line using the method for line segment cluster；The step S23 extractions are by more The liquid level line that the conllinear sub-line section of bar is formed by connecting comprises the following steps that：
S231. sub-line section is connected；
S232. setup parameter, appropriate length sub-line section is selected, rejects the less sub-line section of length；
S233. selection sub-line segment number and deflection are calculated；
S234. synteny degree is set, with the sub-line section of synteny measurement deletion not point-blank；
S235. the conllinear sub-line section under screening is used as liquid level line after being connected, and extracts.
Further, the step S24 is calculated by the liquid level line that a plurality of conllinear sub-line section is formed by connecting to minimum external square The pixel distance (i.e. liquid level) of shape bottom, is comprised the following steps that：
S241. ask for forming the union of a plurality of conllinear sub-line section of liquid level line；
S242. most long two conllinear sub-line sections after union are selected；
S243. the two strip line segments that calculation procedure S242 is selected respectively are to medicinal polybag minimum enclosed rectangle bottom Distance d1And d2, take d1And d2Average value, so as to draw required pixel distance d.
Further, pixel value is converted to comprising the following steps that for actual value by the step S25：
S251. camera calibration, camera internal reference, outer ginseng, distortion factor parameter are obtained；
S252. by camera parameter and then calculating actual value and the linear relationship of pixel value；
S253. medical bag to be checked is decorateeed into long drop and the value of wide Pixel Dimensions and liquid level line is gone to the bottom to minimum enclosed rectangle The value of the pixel distance on side is converted to actual value.
Compared with prior art, this programme principle and advantage is as follows：
Traditional eye-observation and weighting manner detection medical bag is replaced to decorate the liquid level height of drop by Machine Vision Detection Degree, so as to indirect detection drug be packed in bag drop capacity it is whether up to standard, avoid people directly and drug contact, be good for beneficial to human body Health, and Detection accuracy is significantly larger than traditional detection mode.
Brief description of the drawings
Fig. 1 is the flow chart that a kind of medical bag decorates drop capacity visible detection method in the embodiment of the present invention；
Fig. 2 is the experiment effect figure that a kind of medical bag decorates drop capacity visible detection method in the embodiment of the present invention.
Embodiment
With reference to specific embodiment, the invention will be further described：
Capacity visible detection method is dripped referring to shown in accompanying drawing 1-2, a kind of medical bag described in the present embodiment is decorateeed, including with Lower step：
S1. the actual value of liquid level when medical bag decorates drop normal capacity is established：
Choose 1000 qualified medical bags and decorate drop, averaged after calculating its liquid level, by average value positive and negative 0.1% Section as judge medical bag decorate drop whether qualified standard value.
S2. on-line real-time measuremen medical bag to be checked decorates the actual value of drop liquid level, concretely comprises the following steps：
S21. the image that medical bag to be checked decorates drop is gathered by industrial camera；
S22. image Chinese medicine is calculated to be packed in bag drop length and wide Pixel Dimensions：
The packed drop edge of canny operator extractions is used first, and collection union operation then is done to all edge contours, obtained The contour area of closing, minimum enclosed rectangle then is asked to closed outline region, obtain minimum enclosed rectangle and take the upper left corner and the right side Inferior horn characteristic point, is designated as (Row1, Column1) and (Row2, Column2) respectively, and two rows subtract each other to obtain that rectangle is wide, and two row subtract each other Rectangle length is obtained, so as to obtain the Pixel Dimensions that medical bag decorates drop length and width.
S23. the liquid level line being formed by connecting by a plurality of conllinear sub-line section is extracted, step is as follows：
S231. sub-line section is connected；
S232. setup parameter, appropriate length sub-line section is selected, rejects the less sub-line section of length；
S233. selection sub-line segment number and deflection are calculated；
S234. synteny degree is set, with the sub-line section of synteny measurement deletion not point-blank：
Synteny degree threshold value is set as 1 °.Regulation, if the deflection of two sub-line sections differs by more than 1 °, is judged as not same On straight line, reject.Synteny degree calculation formula is：
Wherein, f is two line segment average lengths, distances of the c between immediate a pair of end points, folders of a between two line segments Angle, b are the angle average value of two line segment midpoint lines and line segment, Td,Ta,TbFor normalized threshold parameter.It can be obtained by many experiments Td=3~5, Ta=π/36~π/18, TbDuring=π/18~π/9, the conllinear line segment fitted is most preferable；
S235. the conllinear sub-line section under screening is used as liquid level line after being connected, and extracts.
S24. calculate pixel by the liquid level line that a plurality of conllinear sub-line section is formed by connecting to minimum enclosed rectangle bottom away from From (i.e. liquid level), step is as follows：
S241. ask for forming the union of a plurality of conllinear sub-line section of liquid level line；
S242. most long two conllinear sub-line sections after union are selected；
S243. the two strip line segments that calculation procedure S242 is selected respectively are to medicinal polybag minimum enclosed rectangle bottom Distance d1And d2, take d1And d2Average value, so as to draw required pixel distance d, formula is：
S25. the step S22 medical bags obtained are decorateeed into the long pixel obtained with the value of wide Pixel Dimensions and step S24 of drop The value of distance is converted to actual value：
S251. camera calibration, camera internal reference, outer ginseng, distortion factor parameter (f are obtainedx, fy, u0, v0)；
Wherein, (x, y) be image coordinate system in two-dimensional coordinate, (xc, yc, zc) it is using camera projection centre as origin The coordinate of camera three-dimensional system of coordinate；
S252. by camera parameter and then calculating actual value and the linear relationship of pixel value：
Wherein, (u, v) is world coordinates；
S253. the value for dripping long l and wide w Pixel Dimensions and liquid level line are decorateeed with reference to medical bag to be checked to minimum enclosed rectangle The pixel distance d of bottom value, actual value is converted to by pixel value：
Wherein, L, W, D are respectively the value of physics actual size, the length of corresponding drop, wide, and liquid level line height.
S3. the medical bag to be checked that is detected in step S2 is decorateeed into the actual value of drop liquid level and step S1 is set up The actual value of liquid level is made comparisons during normal capacity, calculates difference therebetween, and generate form.
S4. reject underproof medical bag and decorate drop：
By the way that the medical bag to be checked detected to be decorateeed to the actual value of drop liquid level and liquid during the normal capacity set up The actual value of position height is made comparisons, and measures medical bag to be checked indirectly and decorate the capacity of drop whether reach standard, will not according to form Qualified medical bag is decorateeed drop and rejected.
Traditional eye-observation and weighting manner detection medical bag is replaced to decorate the liquid level height of drop by Machine Vision Detection Degree, so as to indirect detection drug be packed in bag drop capacity it is whether up to standard, avoid people directly and drug contact, be good for beneficial to human body Health, and Detection accuracy is significantly larger than traditional detection mode.
Examples of implementation described above are only the preferred embodiments of the invention, and the implementation model of the present invention is not limited with this Enclose, therefore the change that all shape, principles according to the present invention are made, it all should cover within the scope of the present invention.

Claims (9)

1. a kind of medical bag decorates drop capacity visible detection method, it is characterised in that：Comprise the following steps：
S1. the actual value of liquid level when medical bag decorates drop normal capacity is established；
S2. on-line real-time measuremen medical bag to be checked decorates the actual value of drop liquid level；
S3., the medical bag to be checked detected in step S2 is decorateeed to the actual value and the standards set up of step S1 of drop liquid level The actual value of liquid level is made comparisons during capacity, calculates difference therebetween, and generate form；
S4. underproof medical bag is decorateeed into drop according to form to reject.
2. a kind of medical bag according to claim 1 decorates drop capacity visible detection method, it is characterised in that：The step The step of S1 is：Choose the qualified medical bag of more than one piece and decorate drop, averaged after liquid level when calculating its normal capacity, will be flat The section of average positive and negative 0.1% as judge medical bag decorate drop whether qualified standard value.
3. a kind of medical bag according to claim 1 decorates drop capacity visible detection method, it is characterised in that：The step S2 on-line real-time measuremens medical bag to be checked decorates the actual value of drop liquid level, comprises the following steps that：
S21. the image that medical bag to be checked decorates drop is gathered by industrial camera；
S22. image Chinese medicine is calculated to be packed in bag drop length and wide Pixel Dimensions；
S23. the liquid level line being formed by connecting by a plurality of conllinear sub-line section is extracted；
S24. the pixel distance to minimum enclosed rectangle bottom by the liquid level line that a plurality of conllinear sub-line section is formed by connecting is calculated；
S25. the step S22 medical bags obtained are decorateeed into the long pixel distance obtained with wide Pixel Dimensions value and step S24 of drop Value be converted to actual value.
4. a kind of medical bag according to claim 3 decorates drop capacity visible detection method, it is characterised in that：The step S22 calculates image Chinese medicine and is packed in bag the comprising the following steps that of drop length and wide Pixel Dimensions：
S221. medicinal polybag edge contour is extracted；
S222. collection union operation is done to all edge contours, draws the contour area of closing；
S223. minimum enclosed rectangle is asked to closed outline region, show that medical bag decorates the long and wide Pixel Dimensions of drop.
5. a kind of medical bag according to claim 4 decorates drop capacity visible detection method, it is characterised in that：The step S221 uses the medicinal polybag edge contour of canny operator extractions.
6. a kind of medical bag according to claim 3 decorates drop capacity visible detection method, it is characterised in that：The step Need to carry out before S23 extraction liquid level lines based on a pretreatment for dropping liquid image, be the step of pretreatment：It is anti-that dropping liquid original image element will be put Turn, difference then is done to a dropping liquid original image and reverse image, the local threshold based on rim detection is carried out to differentiated image Value segmentation.
7. a kind of medical bag according to claim 3 decorates drop capacity visible detection method, it is characterised in that：The step The liquid level line that S23 extractions are formed by connecting by a plurality of conllinear sub-line section comprises the following steps that：
S231. sub-line section is connected；
S232. setup parameter, appropriate length sub-line section is selected, rejects the less sub-line section of length；
S233. selection sub-line segment number and deflection are calculated；
S234. synteny degree is set, with the sub-line section of synteny measurement deletion not point-blank；
S235. the conllinear sub-line section under screening is used as liquid level line after being connected, and extracts.
8. a kind of medical bag according to claim 3 decorates drop capacity visible detection method, it is characterised in that：The step S24 calculates the pixel distance to minimum enclosed rectangle bottom, specific step by the liquid level line that a plurality of conllinear sub-line section is formed by connecting It is rapid as follows：
S241. ask for forming the union of a plurality of conllinear sub-line section of liquid level line；
S242. most long two conllinear sub-line sections after union are selected；
S243. distance of the two strip line segments that calculation procedure S242 is selected respectively to medicinal polybag minimum enclosed rectangle bottom d1And d2, take d1And d2Average value, so as to draw required pixel distance d.
9. a kind of medical bag according to claim 3 decorates drop capacity visible detection method, it is characterised in that：The step Pixel value is converted to comprising the following steps that for actual value by S25：
S251. camera calibration, camera internal reference, outer ginseng, distortion factor parameter are obtained；
S252. by camera parameter and then calculating actual value and the linear relationship of pixel value；
S253. medical bag to be checked is decorateeed into long drop and the value of wide Pixel Dimensions and liquid level line to minimum enclosed rectangle bottom The value of pixel distance is converted to actual value.
CN201710469241.4A 2017-06-20 2017-06-20 Visual detection method for dropping volume of medicinal bag Expired - Fee Related CN107437244B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710469241.4A CN107437244B (en) 2017-06-20 2017-06-20 Visual detection method for dropping volume of medicinal bag

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710469241.4A CN107437244B (en) 2017-06-20 2017-06-20 Visual detection method for dropping volume of medicinal bag

Publications (2)

Publication Number Publication Date
CN107437244A true CN107437244A (en) 2017-12-05
CN107437244B CN107437244B (en) 2020-10-16

Family

ID=60458426

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710469241.4A Expired - Fee Related CN107437244B (en) 2017-06-20 2017-06-20 Visual detection method for dropping volume of medicinal bag

Country Status (1)

Country Link
CN (1) CN107437244B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113552131A (en) * 2021-06-03 2021-10-26 揭阳市群星机械股份有限公司 Patch bag making quality detection method based on machine vision
CN114067102A (en) * 2021-11-17 2022-02-18 中国矿业大学 Liquid level detection control method in mechanical arm liquid pouring task based on target detection
CN115457067A (en) * 2022-11-09 2022-12-09 乐比(广州)健康产业有限公司 Nose-clearing and refreshing medicine liquid level detection method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101858768A (en) * 2010-05-14 2010-10-13 山东大学 Device and method for detecting liquid level after beverage filling process
KR100998885B1 (en) * 2009-11-19 2010-12-08 한국건설기술연구원 Apparatus and method for measuring liquid level using change of temporal pixel distribution on image
CN102147281A (en) * 2011-01-12 2011-08-10 湖南大学 Machine-vision based liquid level detection device and method
CN104065904A (en) * 2014-06-30 2014-09-24 海信集团有限公司 Liquid level detection method and liquid level detection device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100998885B1 (en) * 2009-11-19 2010-12-08 한국건설기술연구원 Apparatus and method for measuring liquid level using change of temporal pixel distribution on image
CN101858768A (en) * 2010-05-14 2010-10-13 山东大学 Device and method for detecting liquid level after beverage filling process
CN102147281A (en) * 2011-01-12 2011-08-10 湖南大学 Machine-vision based liquid level detection device and method
CN104065904A (en) * 2014-06-30 2014-09-24 海信集团有限公司 Liquid level detection method and liquid level detection device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
任勇屹: "基于FPGA与DSP全自动灯检机图像识别系统研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
周博文: "药品灌装生产线视觉检测技术及应用研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113552131A (en) * 2021-06-03 2021-10-26 揭阳市群星机械股份有限公司 Patch bag making quality detection method based on machine vision
CN113552131B (en) * 2021-06-03 2024-03-15 揭阳市群星机械股份有限公司 Patch bag making quality detection method based on machine vision
CN114067102A (en) * 2021-11-17 2022-02-18 中国矿业大学 Liquid level detection control method in mechanical arm liquid pouring task based on target detection
CN115457067A (en) * 2022-11-09 2022-12-09 乐比(广州)健康产业有限公司 Nose-clearing and refreshing medicine liquid level detection method

Also Published As

Publication number Publication date
CN107437244B (en) 2020-10-16

Similar Documents

Publication Publication Date Title
CN107437244A (en) A kind of medical bag decorates drop capacity visible detection method
CN114119464B (en) Deep learning-based lithium battery cell top cover weld appearance detection method
CN115272341A (en) Packaging machine defect product detection method based on machine vision
CN104050446B (en) Meter pointer image identification method based on pointer width character
CN107798672A (en) The width measurements method of pipe tobacco or stem, system and the server with the system
CN103604371B (en) Mobile terminal and object measurement method thereof
CN108186051A (en) A kind of image processing method and processing system of the automatic measurement fetus Double Tops electrical path length from ultrasonoscopy
CN105913415A (en) Image sub-pixel edge extraction method having extensive adaptability
CN108171720A (en) A kind of oblique photograph model object frontier probe method based on geometrical statistic information
CN105913013A (en) Binocular vision face recognition algorithm
CN105319223B (en) The detection method and detecting system of a kind of chalk rice
CN108614999A (en) Eyes based on deep learning open closed state detection method
CN105184779A (en) Rapid-feature-pyramid-based multi-dimensioned tracking method of vehicle
CN103810750B (en) Human body section ring based parametric deformation method
CN108596975A (en) A kind of Stereo Matching Algorithm for weak texture region
CN107945155A (en) A kind of dentifrice tube shoulder defect inspection method based on Gabor filter
CN107993224A (en) A kind of object detection localization method based on circle marker thing
CN111487250A (en) Intelligent visual detection method and system applied to injection molding defective product detection
CN104331690A (en) Skin color face detection method and system based on single picture
CN107631782A (en) A kind of level testing methods based on Harris Corner Detections
CN107274452A (en) A kind of small pox automatic testing method
CN103679144B (en) Method for identifying fruits and vegetables in complex environment based on computer vision
CN203163699U (en) Automobile drum brake friction plate detection system
CN105260559B (en) A kind of paper pulp fiber morphological parameters calculation method based on contour area and contour thinning
CN107507130A (en) A kind of quickly QFN chip pins image obtains and amplification method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20201016

Termination date: 20210620

CF01 Termination of patent right due to non-payment of annual fee