CN105841632A - High-precision measurement method for reflective workpiece based on machine vision - Google Patents

High-precision measurement method for reflective workpiece based on machine vision Download PDF

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Publication number
CN105841632A
CN105841632A CN201610290105.4A CN201610290105A CN105841632A CN 105841632 A CN105841632 A CN 105841632A CN 201610290105 A CN201610290105 A CN 201610290105A CN 105841632 A CN105841632 A CN 105841632A
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CN
China
Prior art keywords
machine vision
workpiece
reflective
measuring method
depressed area
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Pending
Application number
CN201610290105.4A
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Chinese (zh)
Inventor
骆伟岸
王晗
陈新度
罗迪
邹学涌
房飞宇
劳剑东
张宽
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Guangdong University of Technology
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Guangdong University of Technology
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Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Publication of CN105841632A publication Critical patent/CN105841632A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures

Abstract

The invention discloses a high-precision measurement method for a reflective workpiece based on machine vision. The high-precision measurement method comprises the following steps that a. imaging of the surface of a workpiece having a concave part is performed by using a visual system; b. the concave part is dyed so that the concave part is enabled to form color difference relative to the non-concave part of the surface of the workpiece; and c. imaging of the surface of the workpiece is performed again, and the imaging result is uploaded to a computer to perform image processing. The concave part of the surface of the workpiece is dyed and the concave part is enabled to form color difference and contrast relative to the non-concave part so that the concave part and the non-concave part are distinguished by the visual system, and then image processing is performed by utilizing the computer so that the contour of the reflective workpiece is obtained. According to the method, high-precision measurement can be performed on the reflective workpiece, a feature recognition algorithm is optimized to a great extent and thus detection efficiency can be enhanced. The high-precision measurement method can be used for high-precision measurement of the contour of the reflective workpiece.

Description

A kind of high-precision measuring method of reflective workpiece based on machine vision
Technical field
The present invention relates to reflective workpiece calibration field, particularly relate to the high-precision measuring method of a kind of reflective workpiece based on machine vision.
Background technology
Along with the rising of labor cost, manpower is gradually replaced by machine, wherein, people gradually use machine vision replace manual measurement, can high degree raising efficiency and reduce cost.
Machine vision is to replace human eye measure and judge with machine.NI Vision Builder for Automated Inspection refers to by machine vision product (i.e. image-pickup device, point CMOS and CCD two kinds) target will be ingested it is converted into picture signal, send special image processing system to, obtain the shape information of target subject, according to pixel distribution and the information such as brightness, color, it is transformed into digitized signal;Picture system carries out various computing to extract clarification of objective to these signals, and then controls the device action at scene according to the result differentiated.
Workpiece slot: the surface profile processed through the mode such as car, milling on surface of the work.
Due to different processing modes, there is different features in the reflective situation of surface of the work.Machine vision is for identifying that reflective workpiece there is also certain technical bottleneck, subject matter is present in: profile to be detected is minimum with background area contrast, contour feature in the picture that camera obtains extremely is difficult to be extracted, even if being extracted by complicated algorithm, the robustness of system is the most very poor, application illumination can extract a part of profile information, but also cannot fully meet measurement requirement.Lighting system must also adapt with image recognition algorithm, general image recognition algorithm complicated reflective under the conditions of there is also situation about cannot resolve.
To this end, great majority are all artificial for workpiece calibration now, but manual measurement needs to realize the measurement to workpiece Internal periphery by projecting apparatus, and shortcoming is that man-hour is long, inefficiency.But using machine vision metrology to replace manual measurement to improve efficiency is a urgent difficult scheme.So needing badly a kind of for different conditions of giving out light, method simple, strong robustness measures reflective workpiece.
Summary of the invention
In order to solve the problems referred to above, it is an object of the invention to provide the high-precision measuring method of a kind of reflective workpiece based on machine vision, it is possible to increase detection efficiency.
The technical solution adopted in the present invention is:
The measuring method of a kind of reflective workpiece based on machine vision, comprises the following steps:
A. the vision system surface of the work imaging to having depressed area is used;
B. depressed area is dyeed, make depressed area form colour-difference relative to the non-depressed area of surface of the work;
The most again to surface of the work imaging, it is uploaded to imaging results in computer carry out image procossing.
As a further improvement on the present invention, in step b, to depressed area filled coloring thing, and the surface of coloring thing is made to be in the field depth of vision system.
As a further improvement on the present invention, described coloring thing is liquid dye.
As a further improvement on the present invention, make there is the surface of the work of depressed area upward, workpiece is immersed equipped with in the dyestuff groove of liquid dye.
As a further improvement on the present invention, put the workpiece in Lifting carrying platform, control Lifting carrying platform and make it drive workpiece immerse or move apart dyestuff groove.
As a further improvement on the present invention, described Lifting carrying platform is by motor control.
As a further improvement on the present invention, described Lifting carrying platform bottom surface is provided with limbers.
As a further improvement on the present invention, in step a, utilize the light source of uniform illumination that the surface of the work low angle with depressed area is irradiated.
The invention has the beneficial effects as follows: the present invention is by dyeing to the depressed area of surface of the work, it is made to form colour-difference and contrast with non-depressed area, thus distinguished depressed area and non-depressed area by vision system, recycling computer can draw the profile of reflective workpiece after carrying out image procossing, the method can carry out high-acruracy survey to reflective workpiece, and optimize the algorithm of feature identification largely, and then improve detection efficiency.
Accompanying drawing explanation
The present invention is further described with embodiment below in conjunction with the accompanying drawings.
Fig. 1 is the schematic diagram of the reflective workpiece of required detection;
Fig. 2 is the schematic diagram of measurement apparatus.
Detailed description of the invention
Reflective workpiece as shown in Figure 1 is a metal heat sink 2, metal heat sink 2 surface-brightening, reflecting effect is the best, and its upper surface offers the groove 21 of several connections, groove 21 is chamfering with the coupling part of radiator upper surface, and additionally upper surface offers four counterbores 22.These counterbores 22 define depressed area with groove 21, and other non-depressed area define a plane.
Fig. 2 show the measurement apparatus of reflective workpiece based on machine vision, and it includes control system 3, image identification system 6, vision system 5, Lifting carrying platform 4 and dyestuff groove 1.Wherein, control system 3 at least controls a motor, and the output of this motor connects Lifting carrying platform 4 by transmission device, and workpiece for measurement can be placed in Lifting carrying platform 4 surface.Filling dyestuff in dyestuff groove 1, in general, dyestuff is dark dye, can be clearly distinguished from the surface color with workpiece.Lifting carrying platform 4 is positioned at above dyestuff groove 1, can immerse in dyestuff groove 1 along with the decline of Lifting carrying platform 4, it is possible to be lifted off dyestuff groove 1 along with Lifting carrying platform 4.Image identification system 6 is connected with control system 3, vision system 5 signal respectively.A vision system 5 at least camera, can identify in imaging results transmission to image identification system 6 surface of the work imaging.
Measuring method to above-mentioned radiator 2 profile in embodiment is below described.
1) toward a certain amount of staining solution of dyestuff groove 1;
2) placement radiator 2 is on Lifting carrying platform 4, utilizes external light source to irradiate radiator 2 upper surface in the way of low angle irradiation, adjusts camera heights afterwards, make radiator 2 present in the camera with suitable size, then demarcate;
3) regulation light-source brightness, makes radiator 2 surface have chamfering profile and counterbore to be clearly presented on camera;
4) motor drives Lifting carrying platform 4 to decline, and makes whole radiator 2 be immersed in dyestuff;Lifting carrying platform 4 is lifted off dyestuff again, dyestuff is filled at the groove and the counterbore position that make radiator 2, colour-difference due to dye colour Yu spreader surface color, the groove making radiator 2 fills dyestuff and counterbore has dye moiety and there is higher contrast at position of being unstained, make radiator 2 without chamfering clear-cut present in the camera;
5) vision system 5 is taken pictures imaging, and imaging results is carried out image recognition by image identification system 6, and relative dimensions is calculated, and exports in excel form, and engineer's reduced parameter determines that workpiece is the most qualified.
As preferably, Lifting carrying platform 4 bottom surface is provided with limbers, and after Lifting carrying platform 4 rises, dyestuff can flow back in dyestuff groove 1 from limbers, alleviates the load of motor.
As preferably, light source is LED array, it is possible to ensure light intensity and uniform light.
Above-mentioned is the measurement using the measurement apparatus of automation to carry out reflective workpiece, and these apparatus and method are without manual operation, and therefore detection efficiency is higher, the most more convenient.
But the depressed area of surface of the work to be measured can also be carried out hand colouring process, it includes but are not limited to spraying dyeing, hand dyeing, it is also possible to depressed area filled coloring thing, and make the surface of coloring thing be in the field depth of camera.
It should be noted that in above-mentioned method, profile to be measured (surface of the work) must form stronger contrast with background.
The above is the preferred embodiment of the present invention, and it is not intended that limiting the scope of the invention.

Claims (8)

1. the high-precision measuring method of a reflective workpiece based on machine vision, it is characterised in that comprise the following steps:
A. the vision system surface of the work imaging to having depressed area is used;
B. depressed area is dyeed, make depressed area form colour-difference relative to the non-depressed area of surface of the work;
The most again to surface of the work imaging, it is uploaded to imaging results in computer carry out image procossing.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 1, it is characterised in that: in step b, to depressed area filled coloring thing, and make the surface of coloring thing be in the field depth of vision system.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 2, it is characterised in that: described coloring thing is liquid dye.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 3, it is characterised in that: make there is the surface of the work of depressed area upward, workpiece is immersed equipped with in the dyestuff groove of liquid dye.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 4, it is characterised in that: put the workpiece in Lifting carrying platform, control Lifting carrying platform and make it drive workpiece immerse or move apart dyestuff groove.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 5, it is characterised in that: described Lifting carrying platform is by motor control.
The high-precision measuring method of reflective workpiece based on machine vision the most according to claim 6, it is characterised in that: described Lifting carrying platform bottom surface is provided with limbers.
The high-precision measuring method of reflective workpiece based on machine vision the most according to any one of claim 1 to 7, it is characterised in that: in step a, utilize the light source of uniform illumination that the surface of the work low angle with depressed area is irradiated.
CN201610290105.4A 2015-12-01 2016-05-03 High-precision measurement method for reflective workpiece based on machine vision Pending CN105841632A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN2015108737006 2015-12-01
CN201510873700 2015-12-01

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06288732A (en) * 1993-04-02 1994-10-18 Matsushita Electric Ind Co Ltd Position detection of electronic part
CN201141841Y (en) * 2007-12-14 2008-10-29 华南理工大学 Illumination device of sphere surface defect detecting system based on machine vision
CN201548209U (en) * 2009-10-30 2010-08-11 华南理工大学 Auxiliary measuring device used for 3D scanner
CN102590218A (en) * 2012-01-16 2012-07-18 安徽中科智能高技术有限责任公司 Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision
CN102937726A (en) * 2011-08-16 2013-02-20 江苏万新光学有限公司 Improved desk type lens dyeing device
CN203069156U (en) * 2013-03-07 2013-07-17 中国石油大学(华东) Novel scraping processing surface automatic detection device
CN203605907U (en) * 2013-10-22 2014-05-21 北京力信联合科技有限公司 Part detection system
CN103896025A (en) * 2014-04-02 2014-07-02 东南大学 Intelligent camera based flexible vibration transmission system and operating method thereof

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06288732A (en) * 1993-04-02 1994-10-18 Matsushita Electric Ind Co Ltd Position detection of electronic part
CN201141841Y (en) * 2007-12-14 2008-10-29 华南理工大学 Illumination device of sphere surface defect detecting system based on machine vision
CN201548209U (en) * 2009-10-30 2010-08-11 华南理工大学 Auxiliary measuring device used for 3D scanner
CN102937726A (en) * 2011-08-16 2013-02-20 江苏万新光学有限公司 Improved desk type lens dyeing device
CN102590218A (en) * 2012-01-16 2012-07-18 安徽中科智能高技术有限责任公司 Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision
CN203069156U (en) * 2013-03-07 2013-07-17 中国石油大学(华东) Novel scraping processing surface automatic detection device
CN203605907U (en) * 2013-10-22 2014-05-21 北京力信联合科技有限公司 Part detection system
CN103896025A (en) * 2014-04-02 2014-07-02 东南大学 Intelligent camera based flexible vibration transmission system and operating method thereof

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