CN103217439A - Medical support detection method - Google Patents
Medical support detection method Download PDFInfo
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- CN103217439A CN103217439A CN2012100157206A CN201210015720A CN103217439A CN 103217439 A CN103217439 A CN 103217439A CN 2012100157206 A CN2012100157206 A CN 2012100157206A CN 201210015720 A CN201210015720 A CN 201210015720A CN 103217439 A CN103217439 A CN 103217439A
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- support
- support sample
- light source
- illumination light
- sample
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Abstract
The invention discloses a medical support detection method. The medical support detection method comprises the following steps of rotating a support sample so that all areas of the support sample can be detected conveniently, illuminating an outer surface area of the support sample by a transverse illumination light source, illuminating an inner surface area of the support sample by a longitudinal illumination light source, carrying out support sample scanning by a line-by-line scanning method to obtain an integral image of the support sample, comparing detected geometric feature sizes of the support sample and theoretical benchmark data to determine errors, and displaying the errors on a user interface. Wavelength of light produced by the transverse illumination light source is different from that of light produced by the longitudinal illumination light source.
Description
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Technical field
The present invention relates to the thin-wall pipes laser micro-machining technology, relate in particular to the detection method of medical support.
Background technology
Can play the effect of bracing frame in the medical support implantable intravascular, thereby keep opening of blood vessel.Medical support must satisfy strict job requirement, if support comprises any coarse or sharp-pointed limit, it will damage the haemocyte or the vascular wall at implant frame place, and this will cause further vascular diseases, so that has potential life danger.General, the subtle change of parameter in the process for making all can cause defective as laser power, caliber size or machinery vibration.Because the inefficacy of support on function may cause life danger, so the detection link of support after machining is even more important.
Existing detection means has manual detection and vision system to detect automatically.Manual detection is the support product to be detected in turn by microscope by the people.But there is bigger error in manual detection.In addition, manual detection is relatively slow and the relative cost of manufacturing process is promoted.And existing vision automatic checkout equipment is extremely complicated, and equipment set costs an arm and a leg.
Therefore need a kind of simple, low-cost and support detection method efficiently.
Summary of the invention
The present invention aims to provide a kind of simple, low-cost and effectively be used to detect the method for support product.
For solving the problems of the technologies described above, the invention discloses a kind of medical support detection method.This method comprises: the runing rest sample is so that detect each zone of support sample; Utilize the transverse illumination light source to illuminate the outer surface region of support sample; Utilize the longitudinal illumination light source to illuminate the inner surface area of support sample; With the support sample being scanned to obtain the general image of support sample by the line sweep mode; The geometric feature sizes of the support sample that records is compared with the theoretical principle data to determine error between the two; And on user interface, show these errors.Wherein, the light that sends of transverse illumination light source is different with the light wavelength that the longitudinal illumination light source sends.
This detection method provided by the present invention is simple to operate, can be fast with qualified and underproof support product zone separately.
Description of drawings
Fig. 1 is the synoptic diagram of the measurement features of support;
Fig. 2 is the structure vertical view that utilizes the device of detection method of the present invention; And
Fig. 3 is a structural front view of utilizing the device of detection method of the present invention.
Reference numeral:
1. installation side plate, 2. driven roller bearing, 3. support product, 4. cutting ferrule, 5. roller bearing initiatively, 6. shaft coupling, 7. motor, 8. electronics line array CCD, 9. longitudinal illumination light source, 10. transverse illumination light source, 11. display device, 12. image processing apparatus based on PC
Embodiment
Each preferred embodiment of the present invention below will be discussed.But it will be appreciated by those skilled in the art that herein detailed description not as limiting the scope of the invention, the present invention also can be achieved by modification or other equivalent way of following each embodiment.
Defectives such as pollution, otch inefficacy, contact point, isolated island shape defective, damage, pitting, distortion generally can appear after the support processing.Generally, as shown in Figure 1, common defective is just like the shape defect shown in a, the boundary defect shown in geometric error shown in the b and the c.
Fig. 3 shows and is applicable to the device of detection method according to an embodiment of the invention.As shown in the figure, this device mainly comprises: roller assembly, transverse illumination light source, longitudinal illumination light source, electronics line array CCD, display device, based on the image processing apparatus of PC.
Roller assembly is used for driving the rotation of support sample, so that detect each zone of support sample.As example, roller assembly can comprise with lower member: side plate, driven roller bearing, cutting ferrule, active roller bearing, shaft coupling, motor are installed, as shown in Figure 2.Shaft coupling is connected the output shaft of servomotor with the active roller bearing, the rotation of motor drives initiatively roller bearing rotation.Initiatively roller bearing is connected by cutting ferrule with driven roller bearing, therefore when initiatively roller bearing rotates, can drive driven roller bearing servo-actuated.When detecting, the support sample can be placed on two feeding roller bearings, the rotation of these two feeding roller bearings drives the support rotation, for example can drive support and carry out 360 degree rotations.Operating personnel only need to put and take off the support product.
Electronic array CCD is used for test sample, and it is installed in the top of support product, gathers the view data of linear array in the precision sweep mode of a line of a line.After a complete scanning process, just can obtain the general image of support.
Detection method of the present invention is introduced transverse illumination light source and longitudinal illumination light source from the outside, wherein the transverse illumination light source illuminates the outside surface of detected support product, and the longitudinal illumination light source illuminates the inside surface of detected support.Two kinds of light sources adopt the illumination of different colours and material, and the consistance illumination of no high light has improved picture quality.
Detection method of the present invention also relates to based on the image processing apparatus of PC and user's display interface.Image processing apparatus utilizes image processing algorithm that the view data that CCD gathers is handled, and observing the structure or the surface imperfection of number of different types, and the theory or the design basis of these defectives and former definition is compared, to be presented on the computer interface.Particularly, compare with the theoretical principle data of support, determine the variable quantity between support measurement data and the theoretical principle data by the support geometric feature sizes that will in testing process, record.After error is observed, will be on computer screen these errors of visualization display, thereby the judged result of drawing.
Claims (2)
1. medical support detection method comprises:
The runing rest sample is so that detect each zone of support sample;
Utilize the transverse illumination light source to illuminate the outer surface region of support sample;
Utilize the longitudinal illumination light source to illuminate the inner surface area of support sample;
With the support sample being scanned to obtain the general image of support sample by the line sweep mode;
The geometric feature sizes of the support sample that records is compared with the theoretical principle data to determine error between the two; And on user interface, show these errors,
Wherein, the light that sends of transverse illumination light source is different with the light wavelength that the longitudinal illumination light source sends.
2. the method for claim 1 is characterized in that, when detecting, the support sample is placed on the active roller bearing and driven roller bearing of roller assembly, and initiatively the rotation of roller bearing and driven roller bearing drives the rotation of support sample.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100157206A CN103217439A (en) | 2012-01-19 | 2012-01-19 | Medical support detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100157206A CN103217439A (en) | 2012-01-19 | 2012-01-19 | Medical support detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103217439A true CN103217439A (en) | 2013-07-24 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012100157206A Pending CN103217439A (en) | 2012-01-19 | 2012-01-19 | Medical support detection method |
Country Status (1)
| Country | Link |
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| CN (1) | CN103217439A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2002296198A (en) * | 2001-03-29 | 2002-10-09 | Omron Corp | Illuminating device in curved surface property inspection apparatus |
| CN1786689A (en) * | 2004-12-10 | 2006-06-14 | 国际商业机器公司 | Automated inspection system and method |
| DE102006037533A1 (en) * | 2006-08-10 | 2008-02-21 | Siemens Ag | Holding device for e.g. stent, has drive provided for moving flexible band along longitudinal direction of band such that object is rotated along its longitudinal direction during moving of object |
| CN101194161A (en) * | 2005-06-03 | 2008-06-04 | 株式会社前川制作所 | Apparatus for detecting contaminants in food |
| CN101287982A (en) * | 2005-09-15 | 2008-10-15 | 拉布寇特有限公司 | Lighting system for imaging a stent |
| CN101512322A (en) * | 2006-10-05 | 2009-08-19 | 克朗斯股份有限公司 | Inspection device for containers |
| US20090251535A1 (en) * | 2005-09-01 | 2009-10-08 | Imstec Gmbh | Automatic inspection device for stents, and method of automatic inspection |
-
2012
- 2012-01-19 CN CN2012100157206A patent/CN103217439A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002296198A (en) * | 2001-03-29 | 2002-10-09 | Omron Corp | Illuminating device in curved surface property inspection apparatus |
| CN1786689A (en) * | 2004-12-10 | 2006-06-14 | 国际商业机器公司 | Automated inspection system and method |
| CN101194161A (en) * | 2005-06-03 | 2008-06-04 | 株式会社前川制作所 | Apparatus for detecting contaminants in food |
| US20090251535A1 (en) * | 2005-09-01 | 2009-10-08 | Imstec Gmbh | Automatic inspection device for stents, and method of automatic inspection |
| CN101287982A (en) * | 2005-09-15 | 2008-10-15 | 拉布寇特有限公司 | Lighting system for imaging a stent |
| DE102006037533A1 (en) * | 2006-08-10 | 2008-02-21 | Siemens Ag | Holding device for e.g. stent, has drive provided for moving flexible band along longitudinal direction of band such that object is rotated along its longitudinal direction during moving of object |
| CN101512322A (en) * | 2006-10-05 | 2009-08-19 | 克朗斯股份有限公司 | Inspection device for containers |
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Application publication date: 20130724 |