CN103175842A - CTCP (Computer-to-conventional Plate) plate surface detection method and system based on machine vision - Google Patents

CTCP (Computer-to-conventional Plate) plate surface detection method and system based on machine vision Download PDF

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CN103175842A
CN103175842A CN2011104330223A CN201110433022A CN103175842A CN 103175842 A CN103175842 A CN 103175842A CN 2011104330223 A CN2011104330223 A CN 2011104330223A CN 201110433022 A CN201110433022 A CN 201110433022A CN 103175842 A CN103175842 A CN 103175842A
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ctcp
equipment
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machine
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CN103175842B (en
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张广秀
徐江伟
任婕
韩琦
王新新
张富明
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Beijing C & W Technology Development Co ltd
Beijing C&W Electronics Group Co Ltd
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Beijing C & W Technology Development Co ltd
Beijing C&W Electronics Group Co Ltd
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Abstract

The invention provides a CTCP (Computer-to-conventional Plate) plate surface detection method based on machine vision and a CTCP plate surface detection system based on the machine vision. The system comprises image acquiring equipment, image processing equipment, system lighting equipment and system synchronizing equipment, wherein the image acquiring equipment is used for acquiring the information of the original image of the surface of a CTCP plate; the image processing equipment is used for processing the original image information acquired by the image acquiring equipment; the system lighting equipment is used for providing imaging light to the image acquiring equipment; and the system synchronizing equipment comprises a synchronizing box and an encoder and is used for providing a synchronous acquiring sequence signal of the image acquiring equipment. The CTCP plate surface detection system is used in match with the conventional CTCP plate production line to realize the real-time online detection of the surface of the CTCP plate, and reduces the omission factor, releases the manual labor, decreases the production cost of manufacturers, improves the detection precision, as well as improves the industrial automation level of a production line.

Description

CTCP (computer-to-control protocol) version surface detection method and system based on machine vision
Technical Field
The invention relates to the field of machine vision detection and industrial automation, in particular to a CTCP (computer to conventional plate) surface detection method and system based on machine vision.
Background
The ctcp (computer To computational plate) is a new path derived for completing computer-To-plate, which is a form of CTP plate process, and computer To computational plate is performed on a conventional PS plate. In the production process, due to the quality of raw materials, the production process and the like, the surface of the CTCP plate has defects or defects, such as decoating, stain, scratch, wrinkle and the like, thereby affecting the quality of products.
At present, various domestic CTCP (China railway control protocol) edition manufacturers mainly rely on visual identification of workers for detecting the surface defect of the CTCP. However, the influence of subjective factors of limited people often causes the condition of missing detection in the detection process, thus bringing great economic loss to manufacturers. Moreover, with the continuous increase of labor cost and the continuous increase of the speed of the CTCP production line, the detection method which purely depends on manpower is less and less advisable.
In summary, the existing CTCP surface detection technology has the following disadvantages:
1. the omission rate is high: the subjective factors of limited people and the missing probability in the CTCP version detection process are high;
2. the cost is high: the omission factor is high, and the economic loss of manufacturers is large; moreover, with the increase of wages of workers, the labor cost of manufacturers is higher and higher;
3. the detection precision is low: the detection precision is inevitably low by only depending on manual detection;
4. the production efficiency is low: manual detection restricts the improvement of the speed of the production line; the CTCP production environment has slight toxicity, the detection efficiency can be influenced by long-time detection, and the influence can be caused to the physical health of workers;
disclosure of Invention
Technical problem to be solved
Aiming at the defects in the existing CTCP surface detection technology, the invention aims to provide a CTCP surface detection method and a CTCP surface detection system based on machine vision, which are matched with the existing CTCP production line to realize real-time online detection of the CTCP surface; the omission ratio is reduced, the manual labor is released, and the production cost of manufacturers is reduced; the detection precision is improved, and the industrial automation level of the production line is improved.
(II) technical scheme
In order to solve the technical problem, the invention provides a CTCP (computer-to-control Cylinder control protocol) version surface detection system based on machine vision, which comprises image acquisition equipment, image processing equipment, system illumination equipment and system synchronization equipment, wherein the image acquisition equipment is used for acquiring images; wherein,
the image acquisition equipment is used for acquiring original image information of the surface of the CTCP edition;
the image processing device is used for processing the original image information collected by the image collecting device;
the system illumination device is used for providing imaging illumination for the image acquisition device;
the system synchronization device comprises a synchronization box and an encoder, and is used for providing a synchronous acquisition time sequence signal of the image acquisition device.
Preferably, the CTCP version surface detection system based on machine vision further comprises auxiliary equipment, wherein the auxiliary equipment comprises system synchronization equipment, an ink-jet printer, an ink-jet code recognition machine, an alarm lamp and a UPS; wherein,
the code spraying machine is used for spraying code identification on the CTCP edition according to the processing result of the image processing equipment;
the code spraying identification machine is used for identifying code spraying labels of the code spraying machine;
the alarm lamp is used for giving an alarm prompt when the surface of the CTCP is prompted to have flaws according to the processing result of the image processing equipment;
the UPS is used for power-off protection and power management of the whole system.
Preferably, the system lighting device comprises at least one of a linear light source, a strip light source and a coaxial light source.
Preferably, the light wavelength of the system illumination device is larger than 450nm visible light.
Preferably, the image acquisition equipment is formed by splicing one or more linear array CCD cameras in parallel.
Preferably, the image processing device comprises an image acquisition card and a computer; wherein the image acquisition card communicates with the computer in a PCI-E bus mode.
Preferably, the image processing device comprises an information management module, which is used for the statistical analysis of the image processing result of the image processing device and controlling and managing the whole system.
Preferably, the statistical analysis function of the information management module analyzes and counts related information of flaws in the image processing result based on the image processing result of the image processing device, stores the result in the database, and displays the result through a human-computer interface.
Preferably, the information management module can monitor real-time states and use conditions of each hardware of the system in real time and realize a control management function.
The invention also provides a CTCP (computer-to-control program) version surface detection method based on machine vision by utilizing the system, which comprises the following steps:
s1: the method comprises the steps that image acquisition equipment acquires original image information of the surface of a production line material;
s2: after the image processing equipment receives the image original information of the image acquisition equipment, finishing the primary processing of an original image, then carrying out boundary positioning, image enhancement, binarization, image denoising, background elimination, image morphological flaw searching and analysis, and finally transmitting the image, area size and position information of flaws in the original image of the production line material to an information management module; and the information management module analyzes and counts related information of flaws in the image processing result based on the image processing result of the image processing equipment, stores the result in a database and displays the result through a human-computer interface.
(III) advantageous effects
The CTCP surface detection system based on machine vision has the following advantages and beneficial effects:
1. the existing production process is not required to be changed, and the CTCP plate production line is convenient to install;
2. the real-time online detection of the CTCP surface is realized, and the production efficiency of manufacturers is improved: the system can realize real-time online detection of a 30m/minCTCP production line.
3. The detection precision is high: the system has the acquisition precision of more than 0.05mm, and the detection precision of 0.1mm, which is far higher than the current manual detection level;
4. the omission rate is low: the whole detection process is completely finished by an industrial control computer or a PC (personal computer), the influence of artificial objective factors is avoided, and the missed detection rate can be greatly reduced;
5. the production cost is low: the omission factor is reduced, and the economic loss of manufacturers is reduced; a large amount of manpower is released, the manpower cost is reduced, conservative estimation is carried out, 60 manual labor forces are released by each line, and the cost is saved by 100 ten thousand every year.
Drawings
FIG. 1 is a schematic structural diagram of a CTCP version surface inspection system based on machine vision according to the present invention; wherein, 1-image acquisition equipment; 2-flaw; 3-a system lighting device; 4-an ink-jet printer; 5-CTCP edition; 6-an image processing device; 7-an alarm lamp; 8-an encoder;
FIG. 2 is a schematic diagram of the system of the present invention;
FIG. 3 is a timing diagram of the synchronization of the present invention;
FIG. 4 is a schematic diagram of the algorithm processing in the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention, but not to limit the scope thereof.
The invention provides a CTCP (computer-to-control program) version surface detection system based on machine vision, which comprises image acquisition equipment, image processing equipment, system illumination equipment and system synchronization equipment, wherein the image acquisition equipment is used for acquiring images; the image acquisition equipment is used for acquiring original image information of the surface of the CTCP edition; the image processing device is used for processing the original image information collected by the image collecting device; the system illumination device is used for providing imaging illumination for the image acquisition device; the system synchronization device comprises a synchronization box and an encoder, and is used for providing a synchronous acquisition time sequence signal of the image acquisition device.
As shown in fig. 1, an embodiment of a CTCP version surface inspection system based on machine vision according to the present invention includes an image acquisition device 1, a system illumination device 3, an image processing device 6 and a system synchronization device; the auxiliary equipment comprises an ink-jet printer 4, an alarm lamp 7 and an encoder 8; the image processing apparatus 6 includes an information management module. Wherein: the image acquisition equipment 1 acquires original image information of the surface of the CTCP version 5; the image processing device 6 is used for processing the image acquisition device 1 to acquire original image information; the system illumination device 3 is used for providing imaging illumination for the image acquisition device 1; and the information management module is used for performing statistical analysis on the image processing result of the image processing equipment 1 and controlling and managing the whole system. The system operating principle is shown in fig. 2.
The system lighting device 3 comprises a linear light source, at least one of a strip light source and a coaxial light source, and a corresponding light source controller;
here, the system illumination device 3 may use a linear light source, a coaxial light source, a bar light source; according to the characteristics of the CTCP, the system requires that the wavelength of light of the lighting equipment is larger than 450nm visible light;
in particular, the system lighting device 3 is used as follows: according to the light characteristics of the CTCP, the system adopts a linear light source, and the wavelength of the system lighting equipment is a yellow light source of 570 nm;
the image acquisition equipment 1 is uniformly controlled by a system synchronous time sequence to finish the acquisition of original images on the surface of the CTCP (computer to control plate) 5, and the original images are transmitted to the image processing equipment 6 for processing through data interfaces of the image acquisition equipment 1 and the image processing equipment 6;
the image acquisition equipment 1 is formed by splicing one or more linear array CCD cameras in parallel, and the number and the parameters of the linear array CCD cameras are selected according to the actual detection width and the production line speed.
The system synchronization time sequence is shown in fig. 3, the production line drives the encoder to rotate, synchronous signals are generated and are respectively transmitted to different acquisition cards after being processed by the synchronization box, and acquisition equipment is controlled to acquire synchronously.
The image processing device 6 is used for processing the original image information collected by the image collecting device 1;
the image processing device 6 includes an image acquisition card, an industrial control computer or a PC, and hardware devices such as a memory, a hard disk, a video card and the like inserted in the industrial control computer or the PC, wherein the image acquisition card communicates with the industrial control computer or the PC in a PCI-E bus manner.
Specifically, after the image acquisition card in the image processing device 6 receives the image original information of the image acquisition device 1, the image acquisition card completes the primary processing of the original image, and transmits the image original information to the algorithm program through a corresponding interface. The algorithm program transmits information such as pictures, area sizes and positions of defects 2 in the original image of the CTCP edition to the information management module through a series of algorithm processing such as boundary positioning, image enhancement (linear stretching), binarization (single threshold, double threshold, self-adaption), isolated point removal (adjacent domain search), image or (background removal, only defects are left), image morphology and the like. The image processing procedure is shown in fig. 4.
And the information management module is used for performing statistical analysis on the image processing result of the image processing equipment 1 and controlling and managing the whole system.
Specifically, the statistical analysis function of the information management module analyzes and counts the related information of the flaws in the image processing result based on the image processing result of the image processing device 6, stores the result in the database, and displays the result through the human-computer interface. The information management module also has the function of completing the monitoring management of the system. The real-time state and the use condition of each hardware of the system can be monitored in real time, and the control management function is realized.
And other auxiliary equipment comprises an ink-jet printer, an ink-jet identification machine, an alarm lamp and a UPS, and is used for assisting the system to complete corresponding functions.
The code spraying machine, the code spraying recognition machine and the alarm lamp have the functions that after the image processing equipment 6 recognizes the surface flaw 2 of the CTCP version 5, the information management module receives a flaw processing result of the algorithm program and sends the flaw processing result to the code spraying machine, and the code spraying machine sprays codes on the back of the CTCP version to mark the position of the flaw 2. And the code spraying recognition machine is positioned before the stacking operation, and codes are sprayed at the position of the flaw 2, so that the quality detection function of the CTCP version is completed.
Wherein the alarm lamp: when the processing result of the image processing equipment prompts that the surface of the CTCP is flawed, alarming prompt is carried out; the information management module receives a detection result of the CTCP edition surface, and when a flaw appears, a control signal is sent to the alarm lamp, and the alarm lamp prompts an operator that the flaw appears on the CTCP edition surface.
The invention discloses a CTCP (computer-to-control program) version surface detection method based on machine vision, which comprises the following steps of:
s1: the method comprises the steps that image acquisition equipment acquires original image information of the surface of a production line material;
s2: after the image processing equipment receives the image original information of the image acquisition equipment, finishing the primary processing of an original image, then carrying out boundary positioning, image enhancement, binarization, image denoising, background elimination, image morphological flaw searching and analysis, and finally transmitting the image, area size and position information of flaws in the original image of the production line material to an information management module; and the information management module analyzes and counts related information of flaws in the image processing result based on the image processing result of the image processing equipment, stores the result in a database and displays the result through a human-computer interface.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and substitutions can be made without departing from the technical principle of the present invention, and these modifications and substitutions should also be regarded as the protection scope of the present invention.

Claims (10)

1. A CTCP edition surface detection system based on machine vision is characterized by comprising image acquisition equipment, image processing equipment, system illumination equipment and system synchronization equipment; wherein,
the image acquisition equipment is used for acquiring original image information of the surface of the CTCP edition;
the image processing device is used for processing the original image information collected by the image collecting device;
the system illumination device is used for providing imaging illumination for the image acquisition device;
the system synchronization device comprises a synchronization box and an encoder, and is used for providing a synchronous acquisition time sequence signal of the image acquisition device.
2. The CTCP version surface inspection system based on machine vision according to claim 1, further comprising auxiliary equipment, wherein the auxiliary equipment comprises an inkjet printer and an inkjet printer identifier, an alarm lamp and a UPS; wherein,
the code spraying machine is used for spraying code identification on the CTCP edition according to the processing result of the image processing equipment;
the code spraying identification machine is used for identifying code spraying labels of the code spraying machine;
the alarm lamp is used for giving an alarm prompt when the surface of the CTCP is prompted to have flaws according to the processing result of the image processing equipment;
the UPS is used for power-off protection and power management of the whole system.
3. The machine-vision-based CTCP version surface inspection system of claim 1 or 2, wherein the system illumination device comprises at least one of a linear light source, a bar light source and a coaxial light source.
4. The machine-vision-based CTCP version surface inspection system of claim 3, wherein the system illumination device has a light wavelength greater than 450nm visible light.
5. The machine vision-based CTCP version surface inspection system of claim 1, wherein the image acquisition equipment is composed of one or more line CCD cameras spliced in parallel.
6. The machine-vision-based CTCP version surface inspection system of claim 1, wherein the image processing device comprises an image acquisition card and a computer; wherein the image acquisition card communicates with the computer in a PCI-E bus mode.
7. A CTCP version surface inspection system based on machine vision according to claim 1, wherein said image processing device comprises an information management module for statistical analysis of image processing result of said image processing device and controlling and managing the whole system.
8. The system for detecting the surface of the CTCP version based on the machine vision as claimed in claim 7, wherein the statistical analysis function of the information management module analyzes and counts the related information of the flaws in the image processing result based on the image processing result of the image processing device, and stores the result in the database to be displayed through the human-computer interface.
9. The machine-vision-based CTCP (computer-to-control-content-based) version surface detection system as claimed in claim 7, wherein the information management module can monitor real-time status and use condition of each hardware of the system in real time and realize control management function.
10. A method for machine vision based surface inspection of a CTCP plate using the system of any of claims 1-9, comprising the steps of:
s1: the method comprises the steps that image acquisition equipment acquires original image information of the surface of a production line material;
s2: after the image processing equipment receives the image original information of the image acquisition equipment, finishing the primary processing of an original image, then carrying out boundary positioning, image enhancement, binarization, image denoising, background elimination, image morphological flaw searching and analysis, and finally transmitting the image, area size and position information of flaws in the original image of the production line material to an information management module; and the information management module analyzes and counts related information of flaws in the image processing result based on the image processing result of the image processing equipment, stores the result in a database and displays the result through a human-computer interface.
CN201110433022.3A 2011-12-21 2011-12-21 Based on CTCP version surface inspecting method and the system of machine vision Active CN103175842B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108955646A (en) * 2018-05-15 2018-12-07 武汉理工大学 Steel rail welding line center automatic detection device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5691811A (en) * 1995-02-10 1997-11-25 Central Glass Company, Limited Method of and apparatus for detecting defect of transparent sheet as sheet glass
JP2003083904A (en) * 2001-09-17 2003-03-19 Central Glass Co Ltd Method and device for detecting defect of transparent plate-shaped body
CN101482518A (en) * 2009-01-09 2009-07-15 东华大学 On-line quality detection system for movable band-shaped material
CN101725073A (en) * 2009-11-24 2010-06-09 保定钞票纸业有限公司 Paper eliminating processing method and device
CN202002894U (en) * 2011-01-10 2011-10-05 山东轻工业学院 Quick online paper flaw detecting system based on machine vision

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5691811A (en) * 1995-02-10 1997-11-25 Central Glass Company, Limited Method of and apparatus for detecting defect of transparent sheet as sheet glass
JP2003083904A (en) * 2001-09-17 2003-03-19 Central Glass Co Ltd Method and device for detecting defect of transparent plate-shaped body
CN101482518A (en) * 2009-01-09 2009-07-15 东华大学 On-line quality detection system for movable band-shaped material
CN101725073A (en) * 2009-11-24 2010-06-09 保定钞票纸业有限公司 Paper eliminating processing method and device
CN202002894U (en) * 2011-01-10 2011-10-05 山东轻工业学院 Quick online paper flaw detecting system based on machine vision

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张燃: "预涂感光板疵病检测系统设计", 《中国优秀硕士学位论文全文数据库-工程科技I辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108955646A (en) * 2018-05-15 2018-12-07 武汉理工大学 Steel rail welding line center automatic detection device

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