CN109765186A - Microecology in vaginas ambient intelligence detection system and intelligent analysis method - Google Patents
Microecology in vaginas ambient intelligence detection system and intelligent analysis method Download PDFInfo
- Publication number
- CN109765186A CN109765186A CN201711098476.3A CN201711098476A CN109765186A CN 109765186 A CN109765186 A CN 109765186A CN 201711098476 A CN201711098476 A CN 201711098476A CN 109765186 A CN109765186 A CN 109765186A
- Authority
- CN
- China
- Prior art keywords
- color
- image
- value
- analysis
- identification
- 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.)
- Pending
Links
Landscapes
- Investigating Or Analysing Biological Materials (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a kind of microecology in vaginas ambient intelligence detection system and intelligent analysis methods, including a Image Acquisition；B image procossing；The identification of c color；D color compensating；F calculated result；The analysis of g data.The beneficial effects of the present invention are: generating accurate detection report according to the collected data is shown to user, while cloud carries out analysis using user data and improves accuracy.The family oriented application that profession detection is realized by cell phone application and POCT technological incorporation, to solve limitation present in existing product.
Description
Technical field
The present invention relates to a kind of medical detection techniques, concretely relate to a kind of microecology in vaginas ambient intelligence detection system
System and intelligent analysis method.
Background technique
Chinese women 6.63 hundred million, adult female nearly 400,000,000, and 200,000,000 women suffer from reproductive tract infection related disease, because of reproductive tract infection
Caused by infertility patient about 20,000,000, new 150,000 person/year of cervical cancer patient of hair, nearly 2,000,000 person/year of premature labor, premature rupture of fetal membranes,
For annual cost of medical service up to 20,000,000,000 RMB, reproductive tract infection harm is first hand of China's women's health.Female genital tract
Infection harm is first hand of China's women's health, meanwhile, female genital tract infection disease is also that the great society in the whole world is asked
Topic and public health problem.[i]
It is divided to two kinds for microecology in vaginas of women environment common detection methods at present: microscope routine microscopy and medical dry
Enzyme process joint inspection card is learned, but due to the limitation of both products, much can not meet 400,000,000 Chinese adult female genital tract health sieve
Look into demand.The limitation of both detection methods is analyzed separately below:
A microscope routine microscopy limitation
Patient can only go to hospital to detect, and outpatient service queuing time for consultation is long (taking examining report as being lined up collecting sample, being lined up)；
It is extremely uncomfortable that doctor will cause sufferer body when carrying out vaginal fluid sample collection to patient；
In sample collection procedure, patient's privacy cannot be protected；
Microscopy is a kind of morphology, and testing result observes form, accounting and the motion profile of microorganism dependent on doctor, judges to mark
It is quasi- complicated.Testing result is completely dependent on doctors experience, and subjective factor is big, and no unified standard easily causes missing inspection or erroneous judgement；
Large labor intensity easily causes doctor's visual fatigue；
It only embodies pathogenic microorganism form and function can not be embodied.
B dry chemical enzyme process joint inspection card limitation
The method has apparent advantage compared with microscope routine microscopy, but existing product form still remains significant limitations, main
It is as follows:
Patient can only go to hospital to detect, and outpatient service queuing time for consultation is long (taking examining report as being lined up collecting sample, being lined up)；
It is extremely uncomfortable that doctor will cause sufferer body when carrying out vaginal fluid sample collection to patient；
In sample collection procedure, patient's privacy cannot be protected.
Summary of the invention
The technical problem to be solved by the present invention is to be directed to microscope routine microscopy limitation and dry chemical enzyme process joint inspection card
Limitation provides a kind of convenience, succinct, accurate, privacy is strong detection method.
The present invention is achieved through the following technical solutions:.
Heretofore described method and step is as follows:
A Image Acquisition
It will test card to lay flat, open mobile phone app calling mobile phone camera and carry out picture scanning, blocked in scanning process using detection
Two dimensional code carry out framing, handled being sent to cloud when app judges that image is effective；
B image procossing
After cloud receives image, obtain the coordinate position of the two dimensional code of image, judge whether image inverts, to the image of reversion into
Row position correction, and detection card size is combined to cut image, retain effective identification region in image；
The identification of c color
Gray processing is carried out to the image of cutting, using the color color lump in Hough transformation algorithm identification image, then respectively to every
The area Kuai Se does binaryzation and removes invalid color noise, obtains effective colored pixels set, seeks color average to set, obtain
Take the RGB color mean value in every piece of region；
D color compensating
Compensation color lump is obtained using the color color lump location information obtained in identification process, rejects background using Binarization methods
Color obtains effective color color lump set, and seeks RGB mean value to set, is carried out using color value when the mean value and practical printing
Difference operation, obtains the color difference of each compensation color lump, and the mean value that the difference and color identify is calculated, and obtains
To compensated color value, influence of the illumination to photo environment is eliminated；
F calculated result
Compensated color value and distribution of color table are carried out the corresponding numerical value of the color is calculated, by all numerical value of acquisition
Test result is calculated according to the permutation algorithm of setting and result is fed back into user；
The analysis of g data
Image is uploaded using user and does the progress data analysis of spectrum analysis color combining discre value, analysis model is established, by not
Disconnected data test optimization distribution of color table and permutation algorithm, improve the accuracy of test result.
The beneficial effects of the invention are as follows provide a kind of microecology in vaginas ambient intelligence detection system and intelligent analysis method.Detection card
Smart phone APP shot detection card picture is passed through using dry chemical enzyme process and is uploaded to cloud, cloud passes through image recognition skill
Art obtains color value and compensates and corrects, and generates accurate detection report according to the color value of acquisition and is shown to user, simultaneously
Cloud carries out analysis using user data and improves accuracy.Pass through cell phone application and POCT(point of care tosting, bed
Frontier inspection survey) technological incorporation come realize profession detection family oriented application, to solve limitation present in existing product.
Specific embodiment
The present invention is described in detail below in conjunction with attached drawing.
Embodiment
Method and step is as follows in the present invention:
A Image Acquisition
It will test card to lay flat, open mobile phone app calling mobile phone camera and carry out picture scanning, blocked in scanning process using detection
Two dimensional code carry out framing, handled being sent to cloud when app judges that image is effective.
B image procossing
After cloud receives image, obtain the coordinate position of the two dimensional code of image, judge whether image inverts, to the image of reversion into
Row position correction, and detection card size is combined to cut image, retain effective identification region in image.
The identification of c color
Gray processing is carried out to the image of cutting, using the color color lump in Hough transformation algorithm identification image, then respectively to every
The area Kuai Se does binaryzation and removes invalid color noise, obtains effective colored pixels set, seeks color average to set, obtain
Take three color of RGB(red, green, blue in every piece of region) color mean value.
D color compensating
Compensation color lump is obtained using the color color lump location information obtained in identification process, rejects background using Binarization methods
Color obtains effective color color lump set, and seeks RGB mean value to set, is carried out using color value when the mean value and practical printing
Difference operation, obtains the color difference of each compensation color lump, and the mean value that the difference and color identify is calculated, and obtains
To compensated color value, influence of the illumination to photo environment is eliminated.
F calculated result
Compensated color value and distribution of color table are carried out the corresponding numerical value of the color is calculated, by all numerical value of acquisition
Test result is calculated according to the permutation algorithm of setting and result is fed back into user.
The analysis of g data
Image is uploaded using user and does the progress data analysis of spectrum analysis color combining discre value, analysis model is established, by not
Disconnected data test optimization distribution of color table and permutation algorithm, improve the accuracy of test result.
Specific advantage is as follows:
As soon as only needing a smart phone, mobile phone A pp and vagina, micro-ecological environment detection card, women can be realized at home
The testing and evaluation of microecology in vaginas environment thoroughly eliminates the complicated processes of hospital admission；
Intimate vaginal fluid sample collecting device allows user to be in and can easily sample, and not only avoids because doctor's
Body caused by rough sampling process and psychology are extremely uncomfortable, more protect the privacy of user；
By mobile phone A pp line platform for user provide hommization intimate health consultation value-added service, more eliminate user or
Patient goes hospital outpatient register the complicated processes of consulting；
Due to the privacy of female genital disorders detection, there is obvious disease no in many potential stealthy vaginal disease patients
It is all unwilling in the case where disease that hospital is gone to be checked, and this often results in course of disease delay, so that anaphase is extremely complex, and
It spends very big.And the appearance of the product will thoroughly solve these pain spots, patient or normal person are in and can easily check oneself, really real
The diagnosis objective of existing " early discovery, early treatment ".
Specifically:
For the accuracy for ensureing testing result, image is acquired using APP, carries out the mode of image recognition, core function beyond the clouds
Can put includes: Image Acquisition, color identification, color compensating, calculated result；
To ensure convenience that testing result accuracy and user use, to detection card and sample collecting apparatus done it is unique,
Hommization, simplification design；
By carrying out big data analysis to user's testing result, come judgment part user, there may be the possibility of other related diseases
Property, to provide corresponding testing product for user, it is done step-by-step and provides more and more comprehensive family certainly for user health monitoring
Inspection project.
Claims (1)
1. a kind of microecology in vaginas ambient intelligence detection system and intelligent analysis method, it is characterised in that: the method step is such as
Under:
A Image Acquisition
It will test card to lay flat, open mobile phone app calling mobile phone camera and carry out picture scanning, blocked in scanning process using detection
Two dimensional code carry out framing, handled being sent to cloud when app judges that image is effective；
B image procossing
After cloud receives image, obtain the coordinate position of the two dimensional code of image, judge whether image inverts, to the image of reversion into
Row position correction, and detection card size is combined to cut image, retain effective identification region in image；
The identification of c color
Gray processing is carried out to the image of cutting, using the color color lump in Hough transformation algorithm identification image, then respectively to every
The area Kuai Se does binaryzation and removes invalid color noise, obtains effective colored pixels set, seeks color average to set, obtain
Take the RGB color mean value in every piece of region；
D color compensating
Compensation color lump is obtained using the color color lump location information obtained in identification process, rejects background using Binarization methods
Color obtains effective color color lump set, and seeks RGB mean value to set, is carried out using color value when the mean value and practical printing
Difference operation, obtains the color difference of each compensation color lump, and the mean value that the difference and color identify is calculated, and obtains
To compensated color value, influence of the illumination to photo environment is eliminated；
F calculated result
Compensated color value and distribution of color table are carried out the corresponding numerical value of the color is calculated, by all numerical value of acquisition
Test result is calculated according to the permutation algorithm of setting and result is fed back into user；
The analysis of g data
Image is uploaded using user and does the progress data analysis of spectrum analysis color combining discre value, analysis model is established, by not
Disconnected data test optimization distribution of color table and permutation algorithm, improve the accuracy of test result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711098476.3A CN109765186A (en) | 2017-12-19 | 2017-12-19 | Microecology in vaginas ambient intelligence detection system and intelligent analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711098476.3A CN109765186A (en) | 2017-12-19 | 2017-12-19 | Microecology in vaginas ambient intelligence detection system and intelligent analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109765186A true CN109765186A (en) | 2019-05-17 |
Family
ID=66448828
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711098476.3A Pending CN109765186A (en) | 2017-12-19 | 2017-12-19 | Microecology in vaginas ambient intelligence detection system and intelligent analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109765186A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113244056A (en) * | 2021-05-14 | 2021-08-13 | 广州中大药物开发有限公司 | Remote analysis method based on intelligent sanitary product |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102818777A (en) * | 2012-08-24 | 2012-12-12 | 北京农业智能装备技术研究中心 | Fruit maturity degree evaluation method based on spectrum and color measurement |
| WO2017034073A1 (en) * | 2015-08-25 | 2017-03-02 | Samsung Electronics Co., Ltd. | Test instrument and method of controlling the same |
| CN106546581A (en) * | 2016-11-02 | 2017-03-29 | 长沙云知检信息科技有限公司 | Detection paper card intelligent checking system and detection paper card intelligent analysis method |
| CN106970218A (en) * | 2017-05-27 | 2017-07-21 | 深圳市瀚德标检生物工程有限公司 | A kind of vaginitis self-test device |
| CN107144531A (en) * | 2017-04-19 | 2017-09-08 | 黄建国 | A kind of content of material detection method, system and device analyzed based on color data |
| CN107255712A (en) * | 2017-05-03 | 2017-10-17 | 上海交通大学 | A kind of immunochromatography chip quantified system analysis based on smart mobile phone |
-
2017
- 2017-12-19 CN CN201711098476.3A patent/CN109765186A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102818777A (en) * | 2012-08-24 | 2012-12-12 | 北京农业智能装备技术研究中心 | Fruit maturity degree evaluation method based on spectrum and color measurement |
| WO2017034073A1 (en) * | 2015-08-25 | 2017-03-02 | Samsung Electronics Co., Ltd. | Test instrument and method of controlling the same |
| CN106546581A (en) * | 2016-11-02 | 2017-03-29 | 长沙云知检信息科技有限公司 | Detection paper card intelligent checking system and detection paper card intelligent analysis method |
| CN107144531A (en) * | 2017-04-19 | 2017-09-08 | 黄建国 | A kind of content of material detection method, system and device analyzed based on color data |
| CN107255712A (en) * | 2017-05-03 | 2017-10-17 | 上海交通大学 | A kind of immunochromatography chip quantified system analysis based on smart mobile phone |
| CN106970218A (en) * | 2017-05-27 | 2017-07-21 | 深圳市瀚德标检生物工程有限公司 | A kind of vaginitis self-test device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113244056A (en) * | 2021-05-14 | 2021-08-13 | 广州中大药物开发有限公司 | Remote analysis method based on intelligent sanitary product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Blumenthal et al. | Assessment of the retinal nerve fiber layer in clinical trials of glaucoma neuroprotection | |
| Prasanna et al. | Decision support system for detection of diabetic retinopathy using smartphones | |
| CN109615633A (en) | Crohn disease assistant diagnosis system and method under a kind of colonoscopy based on deep learning | |
| CN100483460C (en) | Automatic detection of skin lesions | |
| CN108151670B (en) | Device and method for evaluating three-dimensional symmetry of back | |
| US20160228008A1 (en) | Image diagnosis device for photographing breast by using matching of tactile image and near-infrared image and method for aquiring breast tissue image | |
| WO2020224282A1 (en) | System and method for processing infant excrement sampling image classification | |
| CN106821324A (en) | A kind of lingual diagnosis auxiliary medical system based on lingual surface and sublingual comprehensive analysis | |
| CN103975364A (en) | Selection of images for optical examination of the cervix | |
| CN104931680A (en) | Portable urine protein detection system and method based on mobile Internet | |
| WO2019047365A1 (en) | Medical cloud platform-based image big data analysis system and method | |
| Parra et al. | Development of low-cost point-of-care technologies for cervical cancer prevention based on a single-board computer | |
| CN110870759A (en) | Quality control method and system for remote fundus screening and storage device | |
| WO2018176717A1 (en) | Medical cloud platform-based breast screening image analysis system and method | |
| CN110664365A (en) | Accurate screening system for cervical cancer | |
| CN110338759A (en) | A kind of front pain expression data acquisition method | |
| CN109087285A (en) | Surgery wound detects debridement robot | |
| CN109765186A (en) | Microecology in vaginas ambient intelligence detection system and intelligent analysis method | |
| CN107977958A (en) | A kind of image diagnosing method and device | |
| CN111402184B (en) | Method and system for realizing remote fundus screening and health service | |
| CN113593667A (en) | Community two-cancer screening health management method and system | |
| CN105825057A (en) | Endemic area clinical data analyzing method and system | |
| CN113113151A (en) | New crown pneumonia exposure risk assessment system for medical institution staff | |
| CN109767415B (en) | POCT intelligent detection system and intelligent analysis method | |
| Vaughan | Review of smartphone funduscopy for diabetic retinopathy screening |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190517 |
|
| RJ01 | Rejection of invention patent application after publication |