CN110207605A - A kind of measuring device and method of the metal structure deformation based on machine vision - Google Patents

A kind of measuring device and method of the metal structure deformation based on machine vision Download PDF

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Publication number
CN110207605A
CN110207605A CN201910511836.0A CN201910511836A CN110207605A CN 110207605 A CN110207605 A CN 110207605A CN 201910511836 A CN201910511836 A CN 201910511836A CN 110207605 A CN110207605 A CN 110207605A
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China
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target
light source
film
film target
module
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Inventor
谢柳辉
冯晓蕾
赵明光
杨金龙
赵晨文
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Guangdong Special Equipment Inspection And Research Institute Dongguan Inspection Institute
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Guangdong Special Equipment Inspection And Research Institute Dongguan Inspection Institute
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Priority to CN201910511836.0A priority Critical patent/CN110207605A/en
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    • 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
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to metal structure deformation measurement technical fields, refer in particular to the measuring device and method of a kind of metal structure deformation based on machine vision, the present invention is compared with prior art, have the function of following remarkable advantage: having measurement metal structure static state and dynamic deformation amount, the especially deformation measurement in metal structure dynamic level direction;Special target light source target module and reference light source target module are devised, compared to other machine vision metrology technologies, there is stronger environment resistant light interference performance;Using reference light source target module, the camera shake problem due to caused by environment is eliminated, precision is improved;The multiple positions of metal component to be measured or specific position can targetedly be measured by increasing and decreasing, moving target light source target module;Using high resolution CMOS camera and sub-pixel positioning algorithm, precision can reach sub-pixel;It will not influence tested metal structure.

Description

A kind of measuring device and method of the metal structure deformation based on machine vision
Technical field
The present invention relates to metal structure deformation measurement technical fields, refer in particular to a kind of metal structure based on machine vision The measuring device and method of deformation.
Background technique
With the continuous construction of China's infrastructure, the application of metal structure and realization scene are more and more, such as portal formula Crane, derrick crane, autocrane, large bridge metal structure prefabricated component etc., but metallic magnetism is by external force Influence and deformation occurs, once deformation it is excessive or be more than elastic limit, will deform excessively, be broken, cause thing Therefore wait, it is therefore necessary to detect band large-scale metal structure static state and dynamic plasticity deformation, as camber, lower amount of deflection, angularity, across The important parameters such as horizontal direction deflection under degree and external force.
In existing metal structure deformation measurement method, common method has instrument measuring method, sensor measurement method, GPS Measurement method etc., instrument measuring method utilize the general measures such as theodolite, total station, level, rangefinder angle and displacement Instrument obtains three-dimensional coordinate, these methods are unable to measure dynamic deformation in the presence of that can only measure static deformation, and measuring speed is slow, nothing The problems such as method measures multiple spot simultaneously, measurement accuracy is influenced by operator;Sensor measurement method is currently used LVDT Meter, fiber grating, foil gauge etc. are moved, these methods need and testee is contacted or is embedded in inside testee, can be to survey Amount object itself interferes;GPS measurement method is non-contact measurement, and measurement is more convenient, but not can be carried out dynamic and survey Amount, measurement accuracy are not able to satisfy metal structure requirement, and at high cost.Therefore existing instrument can not carry out metal structure dynamical state Deformation measurement, can not quickly continuous precise measurement metal structure deformation under static state.
Summary of the invention
The present invention for problem of the prior art provide one kind can high-precision, it is remote it is non-contact, can be real-time continuous dynamic State, and it is easily installed the measuring device and method of the metal structure deformation based on machine vision used.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme:
A kind of measuring device of metal structure deformation based on machine vision provided by the invention, including host computer, camera Support frame, CMOS camera, target light source target module, reference light source target module and power supply unit, the target light source target Module includes the first strong magnets, the first LED area light source and target film target, and the reference light source target module includes second Strong magnets, the second LED area light source and reference film target, the CMOS camera is fixed on the camera tripod, described CMOS camera configuration has zoom lens, and the host computer regulates and controls the CMOS camera, the target film target via network connection Mark is pasted on first LED area light source surface, and first strong magnets are pasted on first LED area light source back side, institute It states and is pasted on second LED area light source surface with reference to film target, second strong magnets are pasted on the 2nd face LED Light source back surface, said supply unit are used for first LED area light source, the second LED area light source, the CMOS camera and described Host computer power supply, the target light source target module and the reference light source target module pass through first strong magnetic respectively Iron, second strong magnets are pasted on metal component to be measured.
Preferably, the target film target and the film target that refers to are provided in round, the target film target Mark and the concentric loop that unlike material is provided with reference to film target, annulus in the middle part of the target film target are set The center point there are two fan-shaped and two fan-shaped central angles in the target film target is set, it is described in the middle part of film target The setting of annulus there are two fan-shaped and two fan-shaped central angles in the center point with reference to film target.
Preferably, the light that first LED area light source and second LED area light source issue is 1000-10000K Natural light is provided with high light transmission on the light-emitting surface of first LED area light source and on the light-emitting surface of second LED area light source PWMA panel.
Preferably, first LED area light source and second LED area light source are disposed as circle, the first LED Area source outer end and second LED area light source outer end are provided with frame, the frame of first LED area light source and described The width of the frame of two LED area light sources is 0.5-2cm, the face of the first LED area light source area and second LED area light source Product is all larger than the area and the area with reference to film target of the target film target, and the target film target fits in It is described to be fitted in the middle part of second LED area light source with reference to film target in the middle part of first LED area light source.
Preferably, the quantity of the target light source target module is multiple.
A kind of measurement method of the metal structure deformation based on machine vision, steps are as follows:
Step 1: target film target module is affixed at the endpoint of metal component to be measured by the first strong magnets, it will It is affixed on metal component to be measured with reference to film target module by the second strong magnets, adjusts camera tripod, make CMOS camera Face target film target module and reference film target module, target film target and reference film target module are in CMOS In the visual field of camera, and it is imaged as close to the middle position of image;
Step 2: opening the first LED area light source, the focal length and aperture of the zoom lens of CMOS camera are adjusted, is acquired to be measured Target film target module and the image with reference to film target module on metal component, and image data is passed by GigE agreement Enter to host computer;
Step 3: being split using Threshold Segmentation Algorithm and prior information to image on host computer, it is luxuriant and rich with fragrance to obtain target Woods target module and reference film target module region seek target film target module respectively and refer to film target mould Coordinate (Xbeg_1, Ybeg_1), (Xbeg_2, Ybeg_2) of the block region starting point in original image;
Step 4: designing customized threshold using target film target and with reference to the existing physical size information of film target Value-based algorithm carries out customized Threshold segmentation processing to target film target and with reference to film target region, obtains the target film Target and the pixel edge round with reference to film target outermost, and obtain elliptical horizontal pixel point on the outside of target film target Number xPiXcels, vertical pixel number yPiXcels;
Step 5: the pixel edge justified to the outermost of target film target and reference film target that the 4th step obtains Sub-pixel edge is obtained using sub-pix detection and correcting algorithm, then sub-pixel edge is fitted, it is luxuriant and rich with fragrance to obtain target Woods target and reference film target are in centre coordinate (Xti_1, Yti_1), (Xti_2, the Yti_2) for dividing region, finally (Xbeg_1, Ybeg_1), (Xbeg_2, the Ybeg_2) sought using third step is obtained target film target and refers to film target Centre coordinate (Xi_1, Yi_1), (Xi_2, the Yi_2) being marked in original image;
Step 6: according to xPiXcels, yPiXcels that the 4th step obtains, combining target film target outermost edges circle Physical dimensional parameters and camera parameter, determine horizontal transformation factor kx from image coordinate system to world coordinate system, vertical Transformation factor ky;
Step 7: centre coordinate (Xi_1, the Yi_ of the target film target and reference film target obtained using the 5th step 1), coordinate transform factor kx, ky that (Xi_2, Yi_2) and the 6th step obtain calculates each frame target film target and with reference to luxuriant and rich with fragrance World coordinates (Xwi_1, Ywi_1), (Xwi_2, the Ywi_2) at woods target image center, and seek target film target and reference The undulate quantity (Δ Xwi_1, Δ Ywi_1) at film target image center, (Δ Xwi_2, Δ Ywi_2);
Step 8: the center undulate quantity of target film target image is subtracted the fluctuation with reference to film target image center Amount obtains displacement variable (Δ Xwi, Δ Ywi), then draws out the position with initial position world coordinates difference Δ Xwi, Δ Ywi Move curvilinear motion figure.
Preferably, customized Threshold Segmentation Algorithm described in the 4th step, specific step is as follows, and target film target is arranged The initial threshold of logo image is 0, carries out Threshold segmentation to target film target, then seeks the target film target after threshold value separates Logo image dimension information is compared with the physical size of target film target, when inconsistent, carry out to threshold value plus 1 operates, directly Until when the target film target image dimension information after separation is consistent with the physical size information of target film target, currently Threshold value be final threshold value.
Preferably, the detection of sub-pix described in the 5th step and correcting algorithm obtain sub-pixel edge, fitting, center Specific step is as follows for coordinate, according to the pixel edge for the target film target outermost circle that the 4th step obtains, using spatial moment Method obtains sub-pixel edge, and the systematic error eliminating this method and generating, Zhi Houli are then corrected to pixel edge Ellipse fitting carried out to sub-pix point with least square method, obtain target film target cut zone image coordinate (Xti, Yti), coordinate of the target film target center in original image is finally sought according to (Xbeg, the Ybeg) that third step obtains (Xi,Yi)。
Preferably, the physical size information justified described in the 6th step according to the outermost edges of target film target, Determine transformation factor kx, ky from image coordinate system to world coordinate system, transformation relation are as follows:
Beneficial effects of the present invention:
The measuring device and method of a kind of metal structure deformation based on machine vision provided by the invention, the present invention and existing There is technology to compare, there is following remarkable advantage: devising special target light source target module and reference light source target module, phase Than other machine vision metrology technologies, there is stronger environment resistant light interference performance;Using reference light source target module, eliminate The camera shake problem due to caused by environment, improves precision;It can be by increasing and decreasing, moving target light source target module to be measured The multiple positions of metal component or specific position are targetedly measured;Utilize high resolution CMOS camera and sub-pix Location algorithm, precision can reach sub-pixel;It will not influence tested metal structure.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention.
Fig. 2 is the target light source target modular structure schematic diagram of the invention.
Fig. 3 is the target film target or described with reference to film target front view of the invention.
Appended drawing reference is respectively as follows:
Host computer -- 1, power supply unit -- 2, camera tripod -- 3, CMOS cameras -- 4, zoom lens -- 5, target light source Target module -- 6, metal component to be measured -- 7, reference light source target module -- 8, target film target -- 9, the first strong magnetic Iron -- 10, the first LED area light source -- 11.
Specific embodiment
For the ease of the understanding of those skilled in the art, the present invention is made further below with reference to embodiment and attached drawing Bright, the content that embodiment refers to not is limitation of the invention.The present invention is described in detail below in conjunction with attached drawing.
Embodiment one
A kind of measuring device of metal structure deformation based on machine vision provided by the invention, including host computer 1, camera Support frame 3, CMOS camera 4, target light source target module 6, reference light source target module 8 and power supply unit 2, the target light source Target module 6 includes the first strong magnets 10, the first LED area light source 11 and target film target 9, the reference light source target mould Block 8 includes the second strong magnets, the second LED area light source and refers to film target, and the CMOS camera 4 is fixed on the camera branch On support 3, the CMOS camera 4 is configured with zoom lens 5, and the host computer 1 is via network connection (cable network or wireless network Network) the regulation CMOS camera 4 parameter, the target film target 9 is pasted on 11 surface of the first LED area light source, institute It states the first strong magnets 10 and is pasted on 11 back side of the first LED area light source, it is described to be pasted on described second with reference to film target LED area light source surface, second strong magnets are pasted on second LED area light source back side, and said supply unit 2 is for giving First LED area light source 11, the second LED area light source, the CMOS camera 4 and the host computer 1 are powered, the target light source Target module 6 and the reference light source target module 8 are viscous by first strong magnets 10, second strong magnets respectively It is affixed on metal component to be measured, the CMOS camera 4 is set to the target light source target module 6 and the reference light source target 8 front of module.
Specifically, in measurement, target light source target module 6 is placed on the position to be measured of metal component to be measured, Reference light source target module 8 is placed on any metal component to be measured, and adjusts camera tripod 3, makes 4 face mesh of CMOS camera It marks 9 module of film target and is in CMOS camera with reference to film target module, target film target 9 and with reference to film target module It in 4 visual field, and is imaged as close to the middle position of image, the image information that CMOS camera 4 acquires is transmitted to upper In machine 1, and handled, by seeking the displacement of 9 module of target film target, all cross jitter elimination algorithm, obtain to Survey the deflection of metal component.
In the present embodiment, the target film target 9 and the film target that refers to are provided in round, the target film On target 9 and the concentric loop for being provided with unlike material with reference to film target, it is preferable that concentric loop is in chequered with black and white Setting, there are two fan-shaped and two fan-shaped central angles in the target for the setting of the annulus at 9 middle part of target film target The center point of film target 9, there are two fan-shaped and two fan-shaped centers of circle for the setting with reference to the annulus in the middle part of film target Angle is in the center point with reference to film target, as same transformation, also on target film target 9 and can will refer to film target It is set as the symmetrical shape such as diamond shape.
In the present embodiment, the light that first LED area light source 11 and second LED area light source issue is 1000- 10000K natural light is respectively provided on the light-emitting surface of first LED area light source 11 and on the light-emitting surface of second LED area light source There is high light transmission PWMA panel.
In the present embodiment, first LED area light source 11 and second LED area light source are disposed as circle, and described One LED area light source, 11 outer end and second LED area light source outer end are provided with frame, and frame is made of black material, institute The width for stating 11 frame of the first LED area light source and the second LED area light source frame is 0.5-2cm, first LED area light source 11 areas and the area of second LED area light source are all larger than the area and the reference film target of the target film target 9 Target area, the target film target 9 fits in 11 middle part of the first LED area light source, described to be bonded with reference to film target In the middle part of second LED area light source.
A kind of measurement method of the metal structure deformation based on machine vision, steps are as follows:
Step 1: 9 module of target film target is affixed on metal component to be measured by the first strong magnets 10, will refer to Film target module is affixed on metal component to be measured by the second strong magnets, is adjusted camera tripod 3, is made CMOS camera 4 just CMOS is in 9 module of target film target and with reference to film target module, target film target 9 and with reference to film target module In the visual field of camera 4, and it is imaged as close to the middle position of image;
Step 2: opening the first LED area light source 11, the focal length and aperture of the zoom lens 5 of CMOS camera 4, acquisition are adjusted 9 module of target film target and the image with reference to film target module on metal component to be measured, and image data is passed through into GigE Agreement is passed to host computer 1;
Step 3: being split using Threshold Segmentation Algorithm and prior information to image on host computer 1, target is obtained 9 module of film target and reference film target module region seek 9 module of target film target respectively and refer to film target Mark coordinate (Xbeg_1, Ybeg_1), (Xbeg_2, Ybeg_2) of the module region starting point in original image;
Step 4: designing customized threshold using target film target 9 and with reference to the existing physical size information of film target Value-based algorithm carries out customized Threshold segmentation processing to target film target 9 and with reference to film target region, and it is luxuriant and rich with fragrance to obtain target Woods target 9 and the pixel edge round with reference to film target outermost, and obtain the 9 elliptical horizontal picture in outside of target film target Vegetarian refreshments number xPiXcels, vertical pixel number yPiXcels;
Step 5: the Pixel-level side justified to the outermost of target film target 9 and reference film target that the 4th step obtains Edge obtains sub-pixel edge using sub-pix detection and correcting algorithm, is then fitted to sub-pixel edge, obtains target Film target 9 and reference film target are in centre coordinate (Xti_1, Yti_1), (Xti_2, the Yti_2) for dividing region, most (Xbeg_1, Ybeg_1), (Xbeg_2, the Ybeg_2) sought afterwards using third step is obtained target film target 9 and refers to the film Centre coordinate (Xi_1, Yi_1), (Xi_2, Yi_2) of the target in original image;
Step 6: according to xPiXcels, yPiXcels that the 4th step obtains, 9 outermost edges of combining target film target The parameter of round physical dimensional parameters and camera determines the horizontal transformation factor kx from image coordinate system to world coordinate system, erects Straight transformation factor ky;
Step 7: centre coordinate (Xi_1, the Yi_ of the target film target 9 and reference film target obtained using the 5th step 1), coordinate transform factor kx, ky that (Xi_2, Yi_2) and the 6th step obtain calculates each frame target film target 9 and with reference to luxuriant and rich with fragrance World coordinates (Xwi_1, Ywi_1), (Xwi_2, the Ywi_2) at woods target image center, and seek target film target 9 and reference The undulate quantity (Δ Xwi_1, Δ Ywi_1) at film target image center, (Δ Xwi_2, Δ Ywi_2);
Step 8: the center undulate quantity of 9 image of target film target is subtracted the fluctuation with reference to film target image center Amount obtains displacement variable (Δ Xwi, Δ Ywi), then draws out the position with initial position world coordinates difference Δ Xwi, Δ Ywi Move curvilinear motion figure.
In the present embodiment, customized Threshold Segmentation Algorithm described in the 4th step, specific step is as follows, and the target film is arranged The initial threshold of target image 9 is 0, carries out Threshold segmentation to target film target 9, and it is luxuriant and rich with fragrance then to seek the target after threshold value separates 9 image dimension information of woods target is compared with the physical size of target film target 9, when inconsistent, carries out adding 1 to threshold value Operation, when 9 image dimension information of target film target after separating is consistent with the physical size information of target film target 9 Until, current threshold value is final threshold value.
In the present embodiment, sub-pix described in the 5th step detection and correcting algorithm obtain sub-pixel edge, fitting, in Specific step is as follows for heart coordinate, according to the pixel edge for 9 outermost of the target film target circle that the 4th step obtains, using space Moment Methods obtain sub-pixel edge, the systematic error eliminating this method and generating then are corrected to pixel edge, later Ellipse fitting is carried out to sub-pix point using least square method, obtains target film target 9 in the image coordinate of cut zone (Xti, Yti) finally seeks 9 center of target film target in original image according to (Xbeg, the Ybeg) that third step obtains Coordinate (Xi, Yi).
In the present embodiment, believed described in the 6th step according to the physical size of the outermost edges of target film target 9 circle Breath determines transformation factor kx, ky from image coordinate system to world coordinate system, transformation relation are as follows:
Embodiment two
In the present embodiment, the quantity of the target light source target module 6 have it is multiple, by multiple target light source target modules 6 It is pasted on the different detection positions of mechanism to be detected by strong magnets respectively, it can multiple metal components to be measured simultaneously Difference is detected, and testing principle is the same as example 1, herein not burdensome narration.
The above is only present pre-ferred embodiments, is not intended to limit the present invention in any form, although The present invention is disclosed as above with preferred embodiment, and however, it is not intended to limit the invention, any person skilled in the art, It does not depart within the scope of technical solution of the present invention, when the technology contents using the disclosure above make a little change or are modified to equivalent change The equivalent embodiment of change, but without departing from the technical solutions of the present invention, technology refers to above embodiments according to the present invention Made any simple modification, equivalent change and modification, belong in the range of technical solution of the present invention.

Claims (9)

1. a kind of measuring device of the metal structure deformation based on machine vision, it is characterised in that: including host computer, camera support Frame, CMOS camera, target light source target module, reference light source target module and power supply unit, the target light source target module Including the first strong magnets, the first LED area light source and target film target, the reference light source target module includes the second strength Magnet, the second LED area light source and reference film target, the CMOS camera are fixed on the camera tripod, the CMOS Camera configuration has zoom lens, and the host computer regulates and controls the CMOS camera via network connection, and the target film target is viscous It is affixed on first LED area light source surface, first strong magnets are pasted on first LED area light source back side, the ginseng It examines film target and is pasted on second LED area light source surface, second strong magnets are pasted on second LED area light source The back side, said supply unit are used for first LED area light source, the second LED area light source, the CMOS camera and described upper Machine power supply, the target light source target module and the reference light source target module pass through first strong magnets, institute respectively The second strong magnets are stated to be pasted on metal component to be measured.
2. a kind of measuring device of metal structure deformation based on machine vision according to claim 1, it is characterised in that: The target film target and the reference film target are provided in round, the target film target and the reference film target Mark is provided with the concentric loop of unlike material, and there are two sector and two for the setting of the annulus in the middle part of the target film target Fan-shaped central angle is in the center point of the target film target, and there are two the settings with reference to the annulus in the middle part of film target Fan-shaped and two fan-shaped central angles are in the center point with reference to film target.
3. a kind of measuring device of metal structure deformation based on machine vision according to claim 1, it is characterised in that: The light that first LED area light source and second LED area light source issue is 1000-10000K natural light, the first LED On the light-emitting surface of area source and high light transmission PWMA panel is provided on the light-emitting surface of second LED area light source.
4. a kind of measuring device of metal structure deformation based on machine vision according to claim 1, it is characterised in that: First LED area light source and second LED area light source are disposed as circle, first LED area light source outer end and described Second LED area light source outer end is provided with frame, the side of the frame of first LED area light source and second LED area light source The width of frame is 0.5-2cm, and the area of the first LED area light source area and second LED area light source is all larger than the mesh The area and the area with reference to film target of film target are marked, the target film target fits in the first face LED It is described to be fitted in the middle part of second LED area light source with reference to film target in the middle part of light source.
5. a kind of measuring device of metal structure deformation based on machine vision according to claim 1, it is characterised in that: The quantity of the target light source target module is multiple.
6. a kind of measurement method of the metal structure deformation based on machine vision, which is characterized in that steps are as follows:
Step 1: target film target module is affixed on metal component to be measured by the first strong magnets, film target will be referred to Mark module is affixed at the endpoint of metal component to be measured by the second strong magnets, is adjusted camera tripod, is made CMOS camera face Target film target module and reference film target module, target film target and reference film target module are in CMOS camera Visual field in, and be imaged as close to the middle position of image;
Step 2: opening the first LED area light source, the focal length and aperture of the zoom lens of CMOS camera are adjusted, metal to be measured is acquired Target film target module and the image with reference to film target module on component, and image data is passed to by GigE agreement Host computer;
Step 3: being split using Threshold Segmentation Algorithm and prior information to image on host computer, target film target is obtained It marks module and refers to film target module region, seek target film target module respectively and refer to film target module institute In coordinate (Xbeg_1, Ybeg_1), (Xbeg_2, Ybeg_2) of the area starting point in original image;
Step 4: designing customized threshold value using target film target and with reference to the existing physical size information of film target and calculating Method carries out customized Threshold segmentation processing to target film target and with reference to film target region, obtains target film target The round pixel edge with reference film target outermost, and obtain elliptical horizontal pixel points on the outside of target film target XPiXcels, vertical pixel number yPiXcels;
Step 5: the pixel edge use of the target film target and the outermost circle with reference to film target obtained to the 4th step Sub-pix detection and correcting algorithm obtain sub-pixel edge, are then fitted to sub-pixel edge, obtain target film target Mark and reference film target are finally utilized in centre coordinate (Xti_1, Yti_1), (Xti_2, the Yti_2) of segmentation region (Xbeg_1, Ybeg_1), (Xbeg_2, the Ybeg_2) that third step is sought obtain target film target and exist with reference to film target Centre coordinate (Xi_1, Yi_1), (Xi_2, Yi_2) in original image;
Step 6: according to xPiXcels, yPiXcels that the 4th step obtains, the object of combining target film target outermost edges circle The parameter of dimensional parameters and camera is managed, the horizontal transformation factor kx from image coordinate system to world coordinate system is determined, converts vertically Factor ky;
Step 7: the target film target that is obtained using the 5th step and with reference to film target centre coordinate (Xi_1, Yi_1), Coordinate transform factor kx, ky that (Xi_2, Yi_2) and the 6th step obtain calculates each frame target film target and refers to film target Mark on a map world coordinates (Xwi_1, Ywi_1), (Xwi_2, the Ywi_2) of inconocenter, and seeks target film target and with reference to the film The undulate quantity (Δ Xwi_1, Δ Ywi_1) at target image center, (Δ Xwi_2, Δ Ywi_2);
Step 8: the center undulate quantity of target film target image is subtracted the undulate quantity with reference to film target image center, obtain Displacement variable (Δ Xwi, Δ Ywi) is taken, the displacement curve with initial position world coordinates difference Δ Xwi, Δ Ywi is then drawn out Variation diagram.
7. a kind of measurement method of metal structure deformation based on machine vision according to claim 6, it is characterised in that: Customized Threshold Segmentation Algorithm described in 4th step, specific step is as follows, and the initial threshold of target film target image is arranged It is 0, Threshold segmentation is carried out to target film target, then seeks the target film target image dimension information after threshold value separates, It is compared with the physical size of target film target, when inconsistent, threshold value is carried out plus 1 operates, the target after separating Until when film target image dimension information is consistent with the physical size information of target film target, current threshold value is as final Threshold value.
8. a kind of measurement method of metal structure deformation based on machine vision according to claim 6, it is characterised in that: The detection of sub-pix described in 5th step and correcting algorithm acquisition sub-pixel edge, fitting, specific step is as follows for centre coordinate, The pixel edge of the target film target outermost circle obtained according to the 4th step obtains sub-pixel using space Moment Methods Then edge is corrected the systematic error eliminating this method and generating, later using least square method to Asia to pixel edge Pixel carries out ellipse fitting, obtains target film target in the image coordinate (Xti, Yti) of cut zone, finally according to third It walks obtained (Xbeg, Ybeg) and seeks coordinate (Xi, Yi) of the target film target center in original image.
9. a kind of measurement method of metal structure deformation based on machine vision according to claim 6, it is characterised in that: Described in 6th step according to the outermost edges of the target film target circle physical size information, determine from image coordinate system to Transformation factor kx, ky of world coordinate system, transformation relation are as follows:
CN201910511836.0A 2019-06-13 2019-06-13 A kind of measuring device and method of the metal structure deformation based on machine vision Pending CN110207605A (en)

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* Cited by examiner, † Cited by third party
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CN114440776A (en) * 2022-01-28 2022-05-06 上海交途科技有限公司 Automatic displacement measuring method and system based on machine vision
WO2023028955A1 (en) * 2021-09-02 2023-03-09 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for measurement
CN116309418A (en) * 2023-03-09 2023-06-23 中建铁路投资建设集团有限公司 Intelligent monitoring method and device for deformation of girder in bridge cantilever construction

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104359461A (en) * 2014-11-06 2015-02-18 中国人民解放军装备学院 Binocular vision measuring system having variable structure and parameter determining method
US20150138349A1 (en) * 2012-07-04 2015-05-21 Creaform Inc. 3-d scanning and positioning system
CN104897062A (en) * 2015-06-26 2015-09-09 北方工业大学 Visual measurement method and device for shape and position deviation of part non-coplanar parallel holes
CN106871787A (en) * 2017-04-13 2017-06-20 中国航空工业集团公司北京长城航空测控技术研究所 Large space line scanning imagery method for three-dimensional measurement
CN106989669A (en) * 2017-02-16 2017-07-28 上海大学 Big visual field high-precision vision system calibrating method based on virtual three-dimensional target
CN107014293A (en) * 2017-04-13 2017-08-04 中国航空工业集团公司北京长城航空测控技术研究所 A kind of photogrammetric survey method of camera scanning imaging
CN107121109A (en) * 2017-06-12 2017-09-01 北京航空航天大学 A kind of structure light parameter calibration device and method based on preceding plated film level crossing
CN108458671A (en) * 2018-03-08 2018-08-28 西安知微传感技术有限公司 A kind of scaling method of line-structured light three-dimension measuring system
CN208155323U (en) * 2018-04-16 2018-11-27 西安微普光电技术有限公司 A kind of more optical axis automated calibration systems
US20190101383A1 (en) * 2014-12-22 2019-04-04 Bombardier Inc. Reference system for online vision inspection
CN210154538U (en) * 2019-06-13 2020-03-17 广东省特种设备检测研究院东莞检测院 Metal structure deformation measuring device based on machine vision

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150138349A1 (en) * 2012-07-04 2015-05-21 Creaform Inc. 3-d scanning and positioning system
CN104359461A (en) * 2014-11-06 2015-02-18 中国人民解放军装备学院 Binocular vision measuring system having variable structure and parameter determining method
US20190101383A1 (en) * 2014-12-22 2019-04-04 Bombardier Inc. Reference system for online vision inspection
CN104897062A (en) * 2015-06-26 2015-09-09 北方工业大学 Visual measurement method and device for shape and position deviation of part non-coplanar parallel holes
CN106989669A (en) * 2017-02-16 2017-07-28 上海大学 Big visual field high-precision vision system calibrating method based on virtual three-dimensional target
CN106871787A (en) * 2017-04-13 2017-06-20 中国航空工业集团公司北京长城航空测控技术研究所 Large space line scanning imagery method for three-dimensional measurement
CN107014293A (en) * 2017-04-13 2017-08-04 中国航空工业集团公司北京长城航空测控技术研究所 A kind of photogrammetric survey method of camera scanning imaging
CN107121109A (en) * 2017-06-12 2017-09-01 北京航空航天大学 A kind of structure light parameter calibration device and method based on preceding plated film level crossing
CN108458671A (en) * 2018-03-08 2018-08-28 西安知微传感技术有限公司 A kind of scaling method of line-structured light three-dimension measuring system
CN208155323U (en) * 2018-04-16 2018-11-27 西安微普光电技术有限公司 A kind of more optical axis automated calibration systems
CN210154538U (en) * 2019-06-13 2020-03-17 广东省特种设备检测研究院东莞检测院 Metal structure deformation measuring device based on machine vision

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023028955A1 (en) * 2021-09-02 2023-03-09 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for measurement
CN114440776A (en) * 2022-01-28 2022-05-06 上海交途科技有限公司 Automatic displacement measuring method and system based on machine vision
CN116309418A (en) * 2023-03-09 2023-06-23 中建铁路投资建设集团有限公司 Intelligent monitoring method and device for deformation of girder in bridge cantilever construction
CN116309418B (en) * 2023-03-09 2024-05-07 中建铁路投资建设集团有限公司 Intelligent monitoring method and device for deformation of girder in bridge cantilever construction

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