CN109738362A - A kind of metal shaft surface image acquisition method based on line scanning - Google Patents
A kind of metal shaft surface image acquisition method based on line scanning Download PDFInfo
- Publication number
- CN109738362A CN109738362A CN201910099026.9A CN201910099026A CN109738362A CN 109738362 A CN109738362 A CN 109738362A CN 201910099026 A CN201910099026 A CN 201910099026A CN 109738362 A CN109738362 A CN 109738362A
- Authority
- CN
- China
- Prior art keywords
- metal shaft
- module
- surface image
- line
- rotary module
- 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
Abstract
The invention discloses a kind of metal shaft surface image acquisition methods based on line scanning, design metal shaft surface image acquisition platform, including shooting module, lighting module and metal shaft rotary module, for the longitudinal length for the axis surveyed, selected line-scan digital camera number and resolution ratio, the number of line-scan digital camera, single row of pixels number, pixel resolution；According to the film speed and pixel resolution of selection camera, the section girth of metal shaft, to calculate the rotation speed of metal shaft rotary module；It determines shooting module and metal shaft rotary module parameter and arranges the position of module later, then determine position and the polishing angle of lighting module；Finally carry out the acquisition of metal shaft surface image.The present invention obtains metal shaft surface image using line scanning, and imaging process is not influenced by bloom；Metal shaft rotary module keeps image quality higher according to the adjustment of camera exposure speed progress speed during acquiring image.
Description
Technical field
The present invention relates to the non-destructive testing of metal shaft part and field of image recognition, more specifically, more particularly to a kind of base
In the metal shaft surface image acquisition method of line scanning.
Background technique
Metal shaft is the very universal components of machinery industry, in process, due to continuous casting steel embryo, cutting grinding
Etc. reasons, metal shaft surface easily form crackle, scab, the different types of defect such as roll marks, scratch, the defect of axis is for its use
Performance and aging effects are very big, be easy to cause equipment fault, and especially in automobile industry, the quality of axis, which is directly related to, is driven
Sail the life security of personnel.Therefore, a problem being especially concerned about for the detection of axis defect always axis processor, in order to
Save the cost, it usually needs different processing is carried out to the axis of different defects, therefore defect axis is carried out according to defect kind
Classification.
Lead to for the method for going detection metal shaft surface defect using image recognition technology since metal shaft has bloom
Crossing common global exposure camera, to go shooting defect picture to be influenced by bloom extremely serious, to be likely to result in imaging scarce
The missing of information is fallen into, this is very unfavorable to the identification of defect.Although the global figure for exposing progress different location can be passed through
The acquisition of picture, then characteristic matching is carried out to repair image, but the similarity of metal imaging shaft is high, characteristic matching success rate pole
It is low.
Summary of the invention
It is an object of the invention to solve the problems, such as to be influenced in metal shaft surface image imaging process by bloom, one is proposed
The metal shaft surface image acquisition method that kind is scanned based on line, avoids highlight area by line exposing combination shooting angle, is promoted
Metal shaft surface image image quality, while the invention can effectively promote the accuracy rate of metal shaft surface defects detection, and be it
The acquisition of the image of his curved surface bloom constitutional detail is offered reference.
The present invention is through the following technical solutions to achieve the above objectives: a kind of metal shaft surface image based on line scanning is adopted
Set method, used acquisition device include shooting module, lighting module and metal shaft rotary module, and the shooting module is by one
A or multiple line-scan digital camera compositions, line-scan digital camera number is adjusted according to the length of metal shaft and exposure length；The illumination mould
Block is made of industrial illuminating lamp and light regulating device, adjusts the brightness of industrial illuminating lamp to gold by light regulating device
The illumination for belonging to axis surface is adjusted；The metal shaft rotary module is made of servo motor and fixture, and servo motor passes through folder
Tool connection metal shaft controls the rotation speed of the revolving speed control metal shaft of servo motor；Include the following steps；
S01: for the longitudinal length L mm for the metal shaft surveyed, line-scan digital camera number and resolution ratio, line-scan digital camera are selected
Number be it is N number of, single row of pixels number is X, pixel resolution R, it is as follows to select normalized form: L≤N × X × R；The list of R
Position is mm/pix；
S02: according to the film speed V of the linear camera selected in S011Pix/s, pixel resolution R mm/pix and metal
The section girth S mm of axis calculates the rotation speed V of metal shaft rotary module2, calculation formula is as follows: V2=2 π (R ×
V1)/S；
In formula, the rotation speed V of metal shaft rotary module2Unit be rad/s, the film speed V of linear camera1List
Position is pix/s, and the unit of the section girth S of metal shaft is mm；
S03: it determines the metal shaft rotary module parameter in shooting module and S02 in S01 and arranges shooting module later
With position and the polishing angle of the position of metal shaft rotary module, then determining lighting module；
S04: the acquisition of metal shaft surface image is carried out.
Preferably, for industrial illuminating lamp apart from the tangential identity distance in metal shaft surface from for 80mm, angle is 30 degree.
Preferably, the image of the line-scan digital camera scanning collection of selection can be loaded directly into PC end memory and be handled.
Preferably, the distance on line-scan digital camera distance axis surface is 230mm.
The beneficial effects of the present invention are: the present invention to obtain metal shaft surface image using line scanning, imaging process not by
The influence of bloom；Metal shaft rotary module makes into according to the adjustment of camera exposure speed progress speed during acquiring image
Image quality amount is higher.
Detailed description of the invention
Fig. 1 is the overall structure front view of acquisition device of the present invention
Fig. 2 is the overall structure side view of acquisition device of the present invention.
Fig. 3 is a kind of workflow schematic diagram of the metal shaft surface image acquisition method based on line scanning of the present invention.
In figure, 1- line-scan digital camera, 2- industrial illuminating lamp, 3- metal shaft, 4- fixture, 5- servo motor.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings:
As shown in Figures 1 to 3, a kind of metal shaft surface image acquisition method based on line scanning, used acquisition device
Including shooting module, lighting module and metal shaft rotary module, the shooting module is made of one or more line-scan digital cameras 1,
1 number of line-scan digital camera is adjusted according to the length of metal shaft 3 and exposure length；The lighting module is by industrial illuminating lamp 2 and lamp
Light regulating device composition, by light regulating device adjust the brightness of industrial illuminating lamp 2 to the illumination on 3 surface of metal shaft into
Row is adjusted；The metal shaft rotary module is made of servo motor 5 and fixture 4, and servo motor 5 connects metal shaft by fixture 4
3, the rotation speed of the revolving speed control metal shaft 3 of control servo motor 5；Include the following steps；
S01: for the longitudinal length L mm for the metal shaft 3 surveyed, 1 number of line-scan digital camera and resolution ratio, linear array phase are selected
The number of machine 1 be it is N number of, single row of pixels number is X, pixel resolution R, it is as follows to select normalized form: L≤N × X × R；R
Unit be mm/pix；
S02: according to the film speed V of the linear camera selected in S011Pix/s, pixel resolution R mm/pix and metal
The section girth S mm of axis 3 calculates the rotation speed V of metal shaft rotary module2, calculation formula is as follows: V2=2 π (R
×V1)/S；
In formula, the rotation speed V of metal shaft rotary module2Unit be rad/s, the film speed V of linear camera1List
Position is pix/s, and the unit of the section girth S of metal shaft 3 is mm；
S03: it determines the metal shaft rotary module parameter in shooting module and S02 in S01 and arranges shooting module later
With position and the polishing angle of the position of metal shaft rotary module, then determining lighting module；
S04: the acquisition of 3 surface image of metal shaft is carried out.
For industrial illuminating lamp 2 apart from the tangential identity distance in 3 surface of metal shaft from for 80mm, angle is 30 degree.
The image of 1 scanning collection of line-scan digital camera of selection can be loaded directly into PC end memory and be handled.
The distance on 1 distance axis surface of line-scan digital camera is 230mm.
Above-described embodiment is presently preferred embodiments of the present invention, is not a limitation on the technical scheme of the present invention, as long as
Without the technical solution that creative work can be realized on the basis of the above embodiments, it is regarded as falling into the invention patent
Rights protection scope in.
Claims (4)
1. a kind of metal shaft surface image acquisition method based on line scanning, it is characterised in that: used acquisition device includes
Shooting module, lighting module and metal shaft rotary module, the shooting module are made of one or more line-scan digital cameras (1), root
Line-scan digital camera (1) number is adjusted according to the length and exposure length of metal shaft (3)；The lighting module is by industrial illuminating lamp (2)
It is formed with light regulating device, the brightness of industrial illuminating lamp (2) is adjusted to metal shaft (3) surface by light regulating device
Illumination be adjusted；The metal shaft rotary module is made of servo motor (5) and fixture (4), and servo motor (5) passes through folder
Have (4) connection metal shaft (3), the rotation speed of revolving speed control metal shaft (3) of control servo motor (5)；Include the following steps；
S01: for the longitudinal length L mm for the metal shaft (3) surveyed, line-scan digital camera (1) number and resolution ratio, linear array phase are selected
The number of machine (1) be it is N number of, single row of pixels number is X, pixel resolution R, it is as follows to select normalized form: L≤N × X × R；
The unit of R is mm/pix；
S02: according to the film speed V of the linear camera selected in S011Pix/s, pixel resolution R mm/pix and metal shaft (3)
Section girth S mm calculate the rotation speed V of metal shaft rotary module2, calculation formula is as follows: V2=2 π (R ×
V1)/S；
In formula, the rotation speed V of metal shaft rotary module2Unit be rad/s, the film speed V of linear camera1Unit be
The unit of pix/s, the section girth S of metal shaft (3) are mm；
S03: arrangement shooting module and gold after the metal shaft rotary module parameter in the shooting module and S02 in S01 are determined
Belong to the position of axis rotary module, then determines position and the polishing angle of lighting module；
S04: the acquisition of metal shaft (3) surface image is carried out.
2. the metal shaft surface image acquisition method according to claim 1 based on line scanning, it is characterised in that: industry is shone
For bright lamp (2) apart from the tangential identity distance in metal shaft (3) surface from for 80mm, angle is 30 degree.
3. the metal shaft surface image acquisition method according to claim 1 based on line scanning, it is characterised in that: selection
The image of line-scan digital camera (1) scanning collection can be loaded directly into PC end memory and be handled.
4. the metal shaft surface image acquisition method according to claim 1 based on line scanning, it is characterised in that: linear array phase
The distance on machine (1) distance axis surface is 230mm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910099026.9A CN109738362A (en) | 2019-01-31 | 2019-01-31 | A kind of metal shaft surface image acquisition method based on line scanning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910099026.9A CN109738362A (en) | 2019-01-31 | 2019-01-31 | A kind of metal shaft surface image acquisition method based on line scanning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109738362A true CN109738362A (en) | 2019-05-10 |
Family
ID=66367039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910099026.9A Pending CN109738362A (en) | 2019-01-31 | 2019-01-31 | A kind of metal shaft surface image acquisition method based on line scanning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109738362A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005227183A (en) * | 2004-02-13 | 2005-08-25 | National Agriculture & Bio-Oriented Research Organization | Quality measuring instrument |
| CN103369346A (en) * | 2012-04-01 | 2013-10-23 | 宝山钢铁股份有限公司 | Calibration method of dynamic imaging line-scanning camera |
| CN106248679A (en) * | 2016-04-01 | 2016-12-21 | 上海众思电子设备有限公司 | The online double-side detecting device of many line-scan digital cameras |
| CN106525873A (en) * | 2016-10-25 | 2017-03-22 | 广州市申发机电有限公司 | Machine vision based full-automatic rotation printed product defect detection device |
| CN106525864A (en) * | 2016-11-22 | 2017-03-22 | 陕西科技大学 | Light source compensation device for image grayscale and compensation method |
| CN206876592U (en) * | 2016-11-22 | 2018-01-12 | 陕西科技大学 | A kind of light source compensator of gradation of image |
| CN107764831A (en) * | 2016-08-23 | 2018-03-06 | 杭州海康机器人技术有限公司 | A kind of optical flat detection means |
-
2019
- 2019-01-31 CN CN201910099026.9A patent/CN109738362A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005227183A (en) * | 2004-02-13 | 2005-08-25 | National Agriculture & Bio-Oriented Research Organization | Quality measuring instrument |
| CN103369346A (en) * | 2012-04-01 | 2013-10-23 | 宝山钢铁股份有限公司 | Calibration method of dynamic imaging line-scanning camera |
| CN106248679A (en) * | 2016-04-01 | 2016-12-21 | 上海众思电子设备有限公司 | The online double-side detecting device of many line-scan digital cameras |
| CN107764831A (en) * | 2016-08-23 | 2018-03-06 | 杭州海康机器人技术有限公司 | A kind of optical flat detection means |
| CN106525873A (en) * | 2016-10-25 | 2017-03-22 | 广州市申发机电有限公司 | Machine vision based full-automatic rotation printed product defect detection device |
| CN106525864A (en) * | 2016-11-22 | 2017-03-22 | 陕西科技大学 | Light source compensation device for image grayscale and compensation method |
| CN206876592U (en) * | 2016-11-22 | 2018-01-12 | 陕西科技大学 | A kind of light source compensator of gradation of image |
Non-Patent Citations (1)
| Title |
|---|
| 孙阔原: "轴类工件表面视觉自动检测系统", 《无损检测》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107356608B (en) | Rapid dark field detection method for surface microdefects of large-caliber fused quartz optical element | |
| CN108645867B (en) | Rapid locating and batch detection method for micro defects on surface of large-caliber optical crystal | |
| JPH08257876A (en) | Tool wearing amount automatic measuring method and tool wearing amount automatic measuring device in machine tool | |
| CN1227518A (en) | Workpiece inspection and handling | |
| CN106814072A (en) | Roll dressing surface defects detection system and its detection method | |
| CN116718616B (en) | Machine vision detection system and detection method for flaw detection | |
| CN114383505A (en) | Automatic detection device for dimension of short shaft type part | |
| CN1863611A (en) | Method of measuring misalignment of multi-stage rolling mill and measuring device therefor | |
| CN104034637A (en) | Diamond wire particle online quality inspection device based on machine vision | |
| CN116137893A (en) | Inspection device, inspection method, and method for manufacturing piston | |
| CN113610054A (en) | Underwater structure disease depth detection method, system and device and storage medium | |
| CN109738362A (en) | A kind of metal shaft surface image acquisition method based on line scanning | |
| JP5042503B2 (en) | Defect detection method | |
| CN208255087U (en) | Roll dressing surface cleaning and Machine Vision Inspecting System | |
| JP2010145253A (en) | Method for imaging cylindrical surface and obtaining rectangular plane image | |
| CN206523441U (en) | Roll dressing surface defects detection system | |
| JPH0957583A (en) | Automatic measurement method and device for tool abrasion quantity | |
| EP3650129A1 (en) | System and method for automatically sorting ceramic balls | |
| JPH09192983A (en) | Tool attrition amount measuring method | |
| CN115127483A (en) | Detection method for measuring coaxiality and system for detecting coaxiality | |
| CN110455797B (en) | Matrix normalization correction method for metallographic microscope | |
| JP5803788B2 (en) | Metal defect detection method | |
| CN100397243C (en) | Magnification correcting method for camera | |
| JPH09318551A (en) | Apparatus for picking up image of tubular inner surface | |
| CN112888531A (en) | Workpiece inspection apparatus and workpiece inspection 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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190510 |
|
| WD01 | Invention patent application deemed withdrawn after publication |