CN205721987U - Based on camera calibration and the urine detector of image recognition - Google Patents
Based on camera calibration and the urine detector of image recognition Download PDFInfo
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- CN205721987U CN205721987U CN201620320592.XU CN201620320592U CN205721987U CN 205721987 U CN205721987 U CN 205721987U CN 201620320592 U CN201620320592 U CN 201620320592U CN 205721987 U CN205721987 U CN 205721987U
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- syringe needle
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- conveyer belt
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Abstract
The utility model discloses a kind of based on camera calibration with the urine detector of image recognition: include conveyer belt, it is arranged on the fixed frame above conveyer belt, the target part calibrating template being fixed on fixed frame, if being provided with dry tablet urine detection card on conveyer belt, being arranged above freely slidable liquid-auto-dropping syringe needle and automatically detecting photographic head at conveyer belt, liquid-auto-dropping syringe needle and automatically detection photographic head bind together, liquid-auto-dropping syringe needle controls to make the coordinate of liquid-auto-dropping syringe needle consistent with each central coordinate of circle of urine detection card by moving movement device.Urine detection product device one-time detection of the present utility model can detect simultaneously PH, albumen, occult blood, proportion, glucose, ketoboidies, urobilinogen, nitrate, leukocyte.This utility model can detect the urine of different patient on a large scale, highly sensitive, and high specificity detects the shortest, rapidly and efficiently, easy and simple to handle, result accurately and reliably, to environment and instrument all without particular/special requirement.
Description
Technical field
This utility model relates to urine detection equipment, in particular to one based on camera calibration
Urine detector with image recognition.
Background technology
Uroscopy, including urine analysis of blood, formation in urine detection (as urine red carefully
Born of the same parents, leukocyte etc.), protein ingredient quantitative determination, urine enzymatic determination etc..Uroscopy is to facing
Bed diagnoses, judges that curative effect and prognosis have highly important value.
Apply multi-joint test strips that urine is carried out rapid screening analysis, i.e. routine urinalysis.Test strips
Method (dipstick methodology) is a kind of urine screening method easy, quick.Mesh
Front conventional Urine test paper bar check project have pH, albumen, occult blood, proportion, glucose,
Ketoboidies, urobilinogen, nitrate, leukocyte, some test strips have also integrated bilirubin and dimension
Raw element C etc..
Test strips method can only the Indexs measure of next Urine in Patients.Accordingly, it would be desirable to it is a kind of
Highly sensitive, high specificity, rapidly and efficiently, easy and simple to handle, to environment and instrument all without special
The different extensive detecting instrument required.
Summary of the invention
The purpose of this utility model seeks to the deficiency overcome existing for prior art, it is provided that one
Plant based on camera calibration and the urine detector of image recognition.
This utility model provides the inspection of a kind of urine based on camera calibration and image recognition
Survey device: it includes conveyer belt, is arranged on the fixed frame above conveyer belt, is fixed on
Determine the target part calibrating template on framework, moving movement device, liquid-auto-dropping syringe needle and automatically
Detection photographic head, if being provided with dry tablet urine detection card, at conveyer belt on described conveyer belt
Be arranged above freely slidable liquid-auto-dropping syringe needle and automatically detect photographic head, described from
Dynamic dropping liquid syringe needle and automatically detection photographic head bind together, and described liquid-auto-dropping syringe needle passes through
Moving movement device controls each circle of the coordinate making liquid-auto-dropping syringe needle and urine detection card
Heart coordinate is consistent.
The beneficial effects of the utility model are: urine detection product device of the present utility model
For the quickly detection examination card of many joint inspections, i.e. one-time detection can detect simultaneously PH, albumen,
Occult blood, proportion, glucose, ketoboidies, urobilinogen, nitrate, leukocyte.This practicality is new
The urine detector of type can detect the urine of different patient on a large scale, highly sensitive, special
The opposite sex is strong, detects the shortest, starts to the result obtaining detection to be time-consumingly only from sample disposal
More than 10 minute, rapidly and efficiently, easy and simple to handle, result is accurately and reliably, equal to environment and instrument
Without particular/special requirement.
Accompanying drawing explanation
Fig. 1 is that this utility model is based on camera calibration and the urine detector of image recognition
Structural representation.
Fig. 2 is the structural representation of this utility model target part calibrating template.
Fig. 3 is the relation schematic diagram of this utility model photographic head coordinate system and image coordinate system.
Detailed description of the invention
In order to preferably explain this utility model, below in conjunction with the drawings and specific embodiments to this
Utility model is described in further detail, but they do not constitute restriction to this utility model.
As it is shown in figure 1, the inspection of this utility model urine based on camera calibration and image recognition
Survey device, including conveyer belt 2, be arranged on the fixed frame 7 above conveyer belt 2, fixing
Target part calibrating template 1 on fixed frame 7, moving movement device 6, liquid-auto-dropping
Syringe needle 4 and automatically detection photographic head 5.If being provided with dry tablet urine detection card on conveyer belt 2
3, it is arranged above freely slidable liquid-auto-dropping syringe needle 4 and automatically at conveyer belt 2
Detection photographic head 5.Liquid-auto-dropping syringe needle 4 and automatically detection photographic head 5 bind together,
Liquid-auto-dropping syringe needle 4 controls to make the coordinate of liquid-auto-dropping syringe needle 4 by moving movement device 6
Consistent with each central coordinate of circle of urine detection card 3.
The detection automatically being obtained camera coordinate system by video camera active vision scaling method is taken the photograph
The coordinate of picture 5, according to detection photographic head 5 and the phase para-position of liquid-auto-dropping syringe needle 4 automatically
Put the coordinate obtaining liquid-auto-dropping syringe needle 4；Set circular method by image and obtain urine detection card
The coordinate of each center of circle image coordinate system of 3, moving movement device 6 makes urine detection card
Each central coordinate of circle of 3 is consistent with the coordinate of liquid-auto-dropping syringe needle 4, liquid-auto-dropping syringe needle 4
Detect to each circular central of urine detection card 3 test fluid of dripping.
Camera calibration method typically has traditional cameras scaling method, active vision video camera mark
Determine method, three kinds of methods of camera self-calibration method.This utility model uses video camera actively
Vision calibration method carrys out calibrating camera coordinate.
Video camera active vision scaling method: be converted to arrange position by video camera----＞ obtains
Obtain machine coordinates----＞ circle matching, picpointed coordinate calculating----＞ matching success----＞ ideal mode
The inside and outside portion parameter estimation such as the coordinate of the video camera of type, focal length.
Urine detector measuring principle is (the most sliding by the telecontrol equipment 6 on fixed frame 7
Wheel) drive Camera Positioning, then by video camera to tested characteristic imaging, by tested feature
Space coordinate conversion is image coordinate.
This utility model uses polynomial interpolation that image border is carried out sub-pixel positioning, uses
Circle center is accurately positioned by Radius Constraint Least Square Circle fitting process, the seat to video camera
The inside and outside portion parameters such as mark, focal length are estimated.
The employing of video camera active vision scaling method has the array of circular apertures of high position precision
Target part calibrating template 1 is demarcated, and its characteristic point is 4 × 5 dot matrix of each circular hole center of circle composition,
Each Circularhole diameter is 3mm, lattice distance L=35mm, and concrete calibration process is as follows:
1) target part calibrating template 1 is fixed on fixed frame 7, and measures position,
To obtain each characteristic point coordinate in template coordinate system；Along target part calibrating template 1 vertical,
Horizontal both direction moves, make each characteristic point in photographic head CCD difference image planes position imaging,
And image space should be made to be evenly distributed in the whole image planes of photographic head CCD as far as possible.In order to carry
High stated accuracy, reduces random error, and characteristic point should be distributed in whole field range as far as possible.
2) travel mechanism position and the plane of delineation coordinate figure of each Feature point correspondence are recorded.
Characteristic point plane of delineation coordinate is obtained by the circular hole of each correspondence of least square fitting.By 20
The plane of delineation coordinate figure of individual characteristic point and travel mechanism position are as the input of model, its phase
Coordinate figure under the fixed frame coordinate system answered is as output.With polynomial interpolation to image
Edge carries out sub-pixel positioning, carries out circle center with Radius Constraint Least Square Circle fitting process
It is accurately positioned, it is achieved the demarcation to camera model inside and outside parameter.Due in CCD image planes
The distortion in heart region is less, first with being imaged on the characteristic point data in this region, asks for shooting
The inside and outside portion parameters such as the coordinate of machine, focal length.
Image recognition circle method uses Hough transformation loop truss algorithm.
The mathematical principle of Hough transformation detection circle:
X=X0+rcosθ
Y=y0+rcosθ
According to polar coordinate, on circle the coordinate of any point can be expressed as above form, so
For any one circle, it is assumed that central pixel point P (x0,y0) pixel it is known that radius of circle it is known that
Then rotating 360 degrees by polar equation can obtain on each point coordinate is same, if only
Being to know pixel on image, radius of circle, the coordinate figure of rotating 360 degrees then central spot must
The strongest.This mathematical principle that Hough transformation detection is round just.
As it is shown on figure 3, video camera and the alignment of urine detection card need to solve important asking
Topic: camera coordinate system and the conversion relation of image pixel coordinates system.As Fig. 3, XOY are
Camera coordinate system, X1O1Y1For image pixel coordinates system, image recognition circle method identification uses
Be image pixel coordinates system.Camera calibration uses camera coordinate system.So needing
It is to be understood that camera coordinate system and the relation of image pixel coordinates system.Camera calibration method is permissible
Know the coordinate of video camera, thus know the coordinate of the detection syringe needle bound with it, and image
Identify circular method it is known that the coordinate in each center of circle, circular radius.If it is final mobile
Telecontrol equipment makes each central coordinate of circle of urine detection card, liquid-auto-dropping syringe needle coordinate consistent,
Liquid-auto-dropping syringe needle just can refer here to each circular central of card test fluid of dripping
Image pixel coordinates system and camera coordinate system transformation relation:
Object point p picture point p in image pixel coordinates system in camera coordinate systemfCoordinate
For:
Therefore object point p and image picture point p in image pixel coordinates system can be obtainedfTransformation relation
For:
Wherein, fx=fsx, fy=fsyIt is respectively defined as the equivalent focal length of X and Y-direction.fx、fy、
u0、v0These 4 parameters are only the most relevant with video camera internal structure, therefore, and referred to as video camera
Inner parameter.u0, v0It is picture centre (optical axis and the intersection point of the plane of delineation) coordinate, u,
V is object point p coordinate in image coordinate system.
Claims (1)
1. based on camera calibration and a urine detector for image recognition, its feature
Be: it include conveyer belt (2), be arranged on conveyer belt (2) top fixed frame (7),
Target part calibrating template (1) that is fixed on fixed frame (7), moving movement device (6),
Liquid-auto-dropping syringe needle (4) and automatically detect photographic head (5), described conveyer belt sets on (2)
If being equipped with dry tablet urine detection card (3), conveyer belt (2) be arranged above can be free
Slide liquid-auto-dropping syringe needle (4) and automatically detect photographic head (5), described liquid-auto-dropping
Syringe needle (4) and automatically detect photographic head (5) and bind together, described liquid-auto-dropping syringe needle
(4) by moving movement device (6) control to make the coordinate of liquid-auto-dropping syringe needle (4) with
Each central coordinate of circle of urine detection card (3) is consistent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620320592.XU CN205721987U (en) | 2016-04-18 | 2016-04-18 | Based on camera calibration and the urine detector of image recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620320592.XU CN205721987U (en) | 2016-04-18 | 2016-04-18 | Based on camera calibration and the urine detector of image recognition |
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| Publication Number | Publication Date |
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| CN205721987U true CN205721987U (en) | 2016-11-23 |
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| CN201620320592.XU Expired - Fee Related CN205721987U (en) | 2016-04-18 | 2016-04-18 | Based on camera calibration and the urine detector of image recognition |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106745904A (en) * | 2017-01-21 | 2017-05-31 | 上海巽晔计算机科技有限公司 | It is a kind of can real-time monitoring water quality water purifier |
| CN106841590A (en) * | 2017-01-21 | 2017-06-13 | 上海琛岫自控科技有限公司 | A kind of indoor polluted gas alarm device |
| CN106830420A (en) * | 2017-01-21 | 2017-06-13 | 深圳汇创联合自动化控制有限公司 | A kind of ultrafiltration mineral spring water production system |
| CN106841185A (en) * | 2017-01-21 | 2017-06-13 | 上海巽晔计算机科技有限公司 | A kind of monitoring water quality on line system of breeding water body |
-
2016
- 2016-04-18 CN CN201620320592.XU patent/CN205721987U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106745904A (en) * | 2017-01-21 | 2017-05-31 | 上海巽晔计算机科技有限公司 | It is a kind of can real-time monitoring water quality water purifier |
| CN106841590A (en) * | 2017-01-21 | 2017-06-13 | 上海琛岫自控科技有限公司 | A kind of indoor polluted gas alarm device |
| CN106830420A (en) * | 2017-01-21 | 2017-06-13 | 深圳汇创联合自动化控制有限公司 | A kind of ultrafiltration mineral spring water production system |
| CN106841185A (en) * | 2017-01-21 | 2017-06-13 | 上海巽晔计算机科技有限公司 | A kind of monitoring water quality on line system of breeding water body |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20161123 Termination date: 20170418 |