CN104239950B - A kind of piston ring point number system and its method of counting based on machine vision - Google Patents
A kind of piston ring point number system and its method of counting based on machine vision Download PDFInfo
- Publication number
- CN104239950B CN104239950B CN201410442239.4A CN201410442239A CN104239950B CN 104239950 B CN104239950 B CN 104239950B CN 201410442239 A CN201410442239 A CN 201410442239A CN 104239950 B CN104239950 B CN 104239950B
- Authority
- CN
- China
- Prior art keywords
- piston ring
- machine vision
- point number
- number system
- detent mechanism
- 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.)
- Active
Links
Landscapes
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention is a kind of piston ring point number system and its method of counting based on machine vision.Piston ring point number system based on machine vision includes central processing unit（1）, camera device（4）, light source（5）, piston ring detent mechanism（6）, wherein piston ring is installed in piston ring detent mechanism（6）On, light source（5）It is installed in the side of piston ring and can be irradiated on the position of piston ring, camera device（4）It is installed in the side of piston ring and can photographs on the position of piston ring, camera device（4）Pass through connecting line（2）With central processing unit（1）Connection, camera device（4）, light source（5）, piston ring detent mechanism（6）All it is installed in camera bellows（3）It is interior.The point number system of the piston ring based on machine vision of the present invention can improve points speed and accuracy, and reduction operating cost is simple to operate, efficiency high, and can reduce the labor intensity of workman.The method of counting of the point number system of the piston ring based on machine vision of the present invention is convenient and practical.
Description
Technical field
The present invention is a kind of piston ring point number system and its method of counting based on machine vision, is belonged to based on machine vision
Piston ring point number system and its method of counting innovative technology.
Background technology
Piston ring is in process of production, it is necessary to count its production quantity, during packing and selling, it is also desirable to count its quantity, often
The quantity of individual packaging must be accurate.At present, the counting of piston ring is substantially by manually points are completed one by one.Due to work
Plug ring is manually counted, and not only labor intensity is big, and efficiency is low, and is easy to mistake occur, points often occurs inaccurate
True situation, the quantity of some packagings has more defined quantity, and causing the operating cost of manufacturing enterprise increases, and profit declines；Have
The quantity packed a bit is less than defined quantity, causes the continuous complaint of client.
The content of the invention
It is an object of the invention to consider above mentioned problem and points speed and accuracy can be improved by providing one kind, reduction
The point number system of the piston ring based on machine vision of operating cost.Simple to operate, efficiency high of the invention, and the labor of workman can be reduced
Fatigue resistance.
Another object of the present invention is to provide a kind of convenient and practical piston ring point number system based on machine vision
Method of counting.
The technical scheme is that：The point number system of the piston ring based on machine vision of the present invention, includes centre
Device, camera device, light source, piston ring detent mechanism are managed, wherein piston ring is installed on piston ring detent mechanism, light source installing
Piston ring side and can be irradiated on the position of piston ring, camera device is installed in the side of piston ring and can photographed
On the position of piston ring, camera device is connected by connecting line with central processing unit, camera device, light source, piston ring positioning
Mechanism is all installed in camera bellows.
The method of counting of piston ring point number system of the invention based on machine vision, comprises the following steps：
1）IMAQ；
2）Image filtering；
3）Image enhaucament；
4）Binary conversion treatment；
5）Morphological scale-space；
6）Rim detection；
7）Result of calculation.
The point number system of the piston ring based on machine vision of the present invention includes central processing unit, shooting dress due to using
Put, light source, the structure of piston ring detent mechanism, wherein piston ring is installed on piston ring detent mechanism, and light source is installed in piston
The side of ring and it can be irradiated on the position of piston ring, camera device is installed in the side of piston ring and can photograph piston ring
Position on, camera device is connected by connecting line with central processing unit, the present invention can not only improve points speed and
Accuracy, and operating cost can be reduced, simple to operate, efficiency high can reduce the labor intensity of workman, in addition, camera device,
Light source, piston ring detent mechanism are all installed in camera bellows, and camera bellows can stop interference of the ambient light to system, and one is provided for system
The detection environment of individual stabilization.The present invention is a kind of ingenious, the function admirable of design, the convenient and practical piston ring based on machine vision
Point number system.
Brief description of the drawings
Fig. 1 is the schematic diagram of the piston ring point number system of the invention based on machine vision；
Fig. 2 is the flow chart of the method for counting of the piston ring point number system of the invention based on machine vision.
Embodiment
Embodiment：
The present invention schematic diagram as shown in figure 1, the present invention the point number system of the piston ring based on machine vision, in including
Processing unit 1, camera device 4, light source 5, piston ring detent mechanism 6 are entreated, wherein piston ring is installed in piston ring detent mechanism 6
On, light source 5 is installed in the side of piston ring and can be irradiated on the position of piston ring, and camera device 4 is installed in the side of piston ring
Side and it can photograph on the position of piston ring, camera device 4 is connected by connecting line 2 with central processing unit 1, camera device
4th, light source 5, piston ring detent mechanism 6 are all installed in camera bellows 3.Camera device 4, light source 5, piston ring detent mechanism 6 are all placed
In camera bellows 3, camera bellows 3 can stop interference of the ambient light to system, and a stable detection environment is provided for system.
In the present embodiment, above-mentioned light source 5 is LED light source.LED light source provides uniform and stable illumination, due to piston ring table
Face reflective function is good, and the gap reflective function between piston ring and piston ring is poor, so using LED light source direct irradiation piston
During ring, the minutia of piston ring surface and piston interannular gap can be protruded.
Above-mentioned camera device 4 is industrial camera.Industrial camera is angled with LED light source, and industrial camera is adopted
Collect the surface image of piston ring 7, and by image transmitting to central processing unit 1.
In the present embodiment, above-mentioned piston ring detent mechanism 6 by be spaced Lai two fixed columns constitute, two fixed columns it
Between distance be less than piston ring diameter.Above-mentioned two fixed columns and the distance between camera device 4 are fixed.Piston ring 7 is put
Put between two fixed columns, two fixed columns can fixed piston ring 7, the piston ring 7 placed every time is arrived between camera device 4
Distance be consistent.In the present embodiment, two fixed columns are iron prop.
In the present embodiment, above-mentioned central processing unit 1 is computer.
The method of counting of piston ring point number system of the invention based on machine vision, comprises the following steps：
1）IMAQ；
2）Image filtering；
3）Image enhaucament；
4）Binary conversion treatment；
5）Morphological scale-space；
6）Rim detection；
7）Result of calculation.
Above-mentioned steps 4）The method of binary conversion treatment be global grey relevant dynamic matrix.
Above-mentioned steps 5）The process of Morphological scale-space be：Etching operation, open operation, closed operation.
Above-mentioned 6）The method of rim detection be Lapalace edge detection algorithm.
Above-mentioned 7）The process of result of calculation is：Amount of edge is counted in fixed region, edge center coordinate, meter is calculated
Edge spacing is calculated, so as to calculate spacing data between actual amount of edge and edge.
The method of counting of piston ring point number system of the invention based on machine vision is integrated use image filtering, image increasing
By force, Binary Sketch of Grey Scale Image, Morphological scale-space, rim detection scheduling algorithm, image point is done to the video sequence that camera is captured
Analysis and processing, calculate piston ring quantity, then show result of calculation.
Image filtering is indispensable operation in image preprocessing, and it can retain the condition of image detail feature as far as possible
Under the noise of target image is suppressed, the quality of its treatment effect can by directly influence successive image processing and analysis
By property.
Image enhancement technique can strengthen information useful in image, and it can be the process of a distortion, the purpose is to
Improve the visual effect of image, for the application scenario of given image, purposefully strengthen the entirety or local feature of image,
Original unsharp image is apparent from, or emphasize in some features interested, expanded view picture different objects feature it
Between difference, abundant information amount.
Binary Sketch of Grey Scale Image is exactly that the gray value of the pixel on image is set into 0 or 1, whole image is showed bright
Aobvious black-white visual effect, is divided the image into as target object and background, extraction target interested.
Morphologic filtering is that, for the image after binary conversion treatment, most of trickle illumination effect may all be gone
Remove, when can still there are many small grain noises in image, may also occur some small cavities in moving mass.At this moment can
Noise jamming is removed in the method by morphologic filtering.Morphologic filtering includes two kinds of computings, and one kind is named expansion
（dilation）, it is a kind of to cry corrosion（erosion）.Both computings can obtain other two again by different sequencing combinations
Computing is planted, one kind is called opening operation, and one kind is named closed operation.Opening operation be first do corrode after expand, typically remove noise with it.
Closed operation is first to do expansion post-etching, and the cavity in foreground blocks is typically removed with it.
Rim detection is the basic problem in image procossing, obvious the purpose is to identify luminance transformation in digital picture
Point.Rim detection significantly reduces data volume, and eliminates incoherent information, retains the important structure attribute of image.
Claims (3)
1. a kind of method of counting of the piston ring point number system based on machine vision, the piston ring point number system based on machine vision
System includes central processing unit（1）, camera device（4）, light source（5）, piston ring detent mechanism（6）, wherein piston ring installing
In piston ring detent mechanism（6）On, light source（5）It is installed in the side of piston ring and can be irradiated on the position of piston ring, images
Device（4）It is installed in the side of piston ring and can photographs on the position of piston ring, camera device（4）Pass through connecting line（2）With
Central processing unit（1）Connection, camera device（4）, light source（5）, piston ring detent mechanism（6）All it is installed in camera bellows（3）It is interior；On
State piston ring detent mechanism（6）By two be spaced Lai fixed column constitute, the distance between two fixed columns are less than piston ring
Diameter；It is characterized in that the method for counting of the piston ring point number system based on machine vision comprises the following steps：
1）IMAQ；
2）Image filtering；
3）Image enhaucament；
4）Binary conversion treatment；
5）Morphological scale-space；
6）Rim detection；
7）Result of calculation.
2. the method for counting of the piston ring point number system according to claim 1 based on machine vision, it is characterised in that on
State step 4）The method of binary conversion treatment be global grey relevant dynamic matrix.
3. the method for counting of the piston ring point number system according to claim 1 based on machine vision, it is characterised in that on
State step 5）The process of Morphological scale-space be：Etching operation, open operation, closed operation；
Above-mentioned 6）The method of rim detection be Lapalace edge detection algorithm；
Above-mentioned 7）The process of result of calculation is：Amount of edge is counted in fixed region, edge center coordinate is calculated, side is calculated
It is intermarginal away from so as to calculate spacing data between actual amount of edge and edge.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410442239.4A CN104239950B (en) | 2014-09-02 | 2014-09-02 | A kind of piston ring point number system and its method of counting based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410442239.4A CN104239950B (en) | 2014-09-02 | 2014-09-02 | A kind of piston ring point number system and its method of counting based on machine vision |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104239950A CN104239950A (en) | 2014-12-24 |
| CN104239950B true CN104239950B (en) | 2017-07-14 |
Family
ID=52227972
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410442239.4A Active CN104239950B (en) | 2014-09-02 | 2014-09-02 | A kind of piston ring point number system and its method of counting based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104239950B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109579735A (en) * | 2018-12-03 | 2019-04-05 | 广州沧恒自动控制科技有限公司 | Piston ring contour detecting method for identifying and classifying and its device based on machine vision |
| CN109919926A (en) * | 2019-03-05 | 2019-06-21 | 长春工业大学 | A kind of piston ring image rapid counting method |
| CN110473174B (en) * | 2019-07-26 | 2022-02-11 | 东南大学 | Method for calculating accurate number of pencils based on image |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102175166A (en) * | 2011-02-16 | 2011-09-07 | 武汉理工大学 | Device for detecting thickness of oil film between cylinder sleeve and piston ring of diesel engine |
| CN102226688A (en) * | 2011-04-12 | 2011-10-26 | 翁瑜 | Automatic detection system of engine piston ring |
| CN203642893U (en) * | 2013-12-26 | 2014-06-11 | 无锡信捷电气股份有限公司 | Semi-automatic piston ring detector |
| CN204009998U (en) * | 2014-09-02 | 2014-12-10 | 广州沧恒自动控制科技有限公司 | A kind of piston ring point number system based on machine vision |
-
2014
- 2014-09-02 CN CN201410442239.4A patent/CN104239950B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102175166A (en) * | 2011-02-16 | 2011-09-07 | 武汉理工大学 | Device for detecting thickness of oil film between cylinder sleeve and piston ring of diesel engine |
| CN102226688A (en) * | 2011-04-12 | 2011-10-26 | 翁瑜 | Automatic detection system of engine piston ring |
| CN203642893U (en) * | 2013-12-26 | 2014-06-11 | 无锡信捷电气股份有限公司 | Semi-automatic piston ring detector |
| CN204009998U (en) * | 2014-09-02 | 2014-12-10 | 广州沧恒自动控制科技有限公司 | A kind of piston ring point number system based on machine vision |
Non-Patent Citations (1)
| Title |
|---|
| 《基于机器视觉的活塞环闭口间隙自动检测》;王桂棠;《仪器仪表与检测》;20051118;第80-82页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104239950A (en) | 2014-12-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109978839B (en) | Method for detecting wafer low-texture defects | |
| CN107228860B (en) | Gear defect detection method based on image rotation period characteristics | |
| CN108230343B (en) | Image processing method and device | |
| US20200240927A1 (en) | Dirt detection on screen | |
| CN104867159A (en) | Stain detection and classification method and device for sensor of digital camera | |
| US20180253852A1 (en) | Method and device for locating image edge in natural background | |
| CN112750168B (en) | Calibration method and device for internal parameters of event camera, computer equipment and storage medium | |
| CN104239950B (en) | A kind of piston ring point number system and its method of counting based on machine vision | |
| CN109934873B (en) | Method, device and equipment for acquiring marked image | |
| CN107993219A (en) | A kind of deck of boat detection method of surface flaw based on machine vision | |
| US20130113813A1 (en) | Computing device, storage medium and method for processing location holes of motherboard | |
| JP2017182785A (en) | System and method for efficiently scoring probes in image with vision system | |
| CN117274113B (en) | Broken silicon wafer cleaning effect visual detection method based on image enhancement | |
| CN104749801B (en) | High Precision Automatic optical detecting method and system | |
| CN105719251B (en) | A kind of compression degraded image restored method that Linear Fuzzy is moved for big picture | |
| CN112164050A (en) | Method, device and storage medium for detecting surface defects of products on production line | |
| US9628659B2 (en) | Method and apparatus for inspecting an object employing machine vision | |
| CN107507130A (en) | A kind of quickly QFN chip pins image obtains and amplification method | |
| Khalid et al. | Image de-fencing using histograms of oriented gradients | |
| CN115719326A (en) | PCB defect detection method and device | |
| CN113705564A (en) | Pointer type instrument identification reading method | |
| CN110728712B (en) | Furnace mouth positioning method and device based on machine vision, storage medium and electronic terminal | |
| CN113962877A (en) | Correction method and correction device for pixel distortion and terminal | |
| Fu et al. | A new image enhancement algorithm for low illumination environment | |
| CN110765991B (en) | High-speed rotating electrical machine fuse real-time detection system based on vision |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |