CN112296999A - Irregular workpiece machining path generation method based on machine vision - Google Patents

Irregular workpiece machining path generation method based on machine vision Download PDF

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CN112296999A
CN112296999A CN201911102219.1A CN201911102219A CN112296999A CN 112296999 A CN112296999 A CN 112296999A CN 201911102219 A CN201911102219 A CN 201911102219A CN 112296999 A CN112296999 A CN 112296999A
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image
contour
workpiece
coordinate
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CN112296999B (en
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赵忠志
马世杰
王安红
雷海卫
闫常春
肖方生
岳军
曹金亮
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Taiyuan University of Science and Technology
Northwest Electronic Equipment Institute of Technology
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1694—Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
    • B25J9/1697—Vision controlled systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1664—Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention relates to a machine vision-based irregular workpiece machining path generation method, belongs to the technical field of image calculation, solves the technical problem that manual monitoring and correction are needed in the machining process of various different forming contours, and comprises the following steps: camera calibration → shooting workpiece image and preprocessing → finding boundary and forming workpiece outline image → calibrating outline centroid and coordinate system of processing platform → generating set of indented outline coordinates S required by user on workpiece outline imagec→ smoothing the contour with median filtering
Figure DEST_PATH_IMAGE002
To obtain
Figure DEST_PATH_IMAGE004
Generating a plurality of contour lines covering the workpiece image according to a user preset condition → generating a machining path according to the contour lines. The invention can adaptively adjust the processing contour according to different shapes, so that the different forming processing does not need manual monitoringAnd the vision and correction improve the automation process of various forming processing and high-efficiency production.

Description

Irregular workpiece machining path generation method based on machine vision
Technical Field
The invention belongs to the technical field of image calculation, and particularly relates to a method for generating an irregular workpiece machining path based on machine vision.
Background
As computer technology and image processing algorithms are becoming mature, various visual numerical control systems have appeared in machining, and there are many such forming processes throughout the entire machining field: if a plate rolling machine tool is used for rolling metal cylinders with various shapes, the same processing parameters and environmental conditions exist, because the shape error and the material of the plates are not uniform, the former plate can realize the butt joint between plate seams to form the cylinder, and the latter plate can not be butt jointed, so the position and the speed of the roller are required to be adjusted while rolling, the whole process can not be manually participated, and the similar conditions exist in the processing of bending pipes, bending plates, extrusion forming and the like. The processing has a common point that different conditions occur in each new processing process, manual monitoring and correction are needed, the different conditions are different from the same mould forming processing, namely the different forming processing, and the different characteristics restrict the automatic process and the efficient production of the processing. Therefore, a method for adaptively adjusting the machining profile according to different shapes is needed.
Disclosure of Invention
The purpose of the invention is: the invention provides a method for generating an irregular workpiece machining path based on machine vision, which aims to solve the technical problem that manual monitoring and correction are needed in the process of machining various different forming contours.
In order to achieve the above object, the present invention is achieved by the following means.
A method for generating an irregular workpiece machining path based on machine vision comprises the following steps:
s1, calibrating camera
Erecting a camera and a backlight plate, calibrating the focal length of the camera, and adjusting the exposure of the camera to ensure that the camera can clearly distinguish a workpiece from the backlight plate; using n multiplied by n checkerboard to shoot m calibration images, and obtaining a homography matrix H and a distortion coefficient distCoeffs ═ k by using a Zhang-Zhengyou calibration method1，k2，p1，p2]Internal reference matrix M1＝[fx，fy，cx，cy]External reference matrix M2；
S2, shooting workpiece image and preprocessing
The robot arm is driven to place the workpiece on the stage, an image of the workpiece is taken, and the image is set as an image a, and the distortion coefficient distCoeffs and the internal reference matrix M obtained in step S1 are used1Correcting the image A according to the following formulas (1) to (4) to obtain an image B with image distortion removed,
Figure BDA0002270200540000011
Figure BDA0002270200540000012
Figure BDA0002270200540000021
Figure BDA0002270200540000022
wherein x isA、yAIs the horizontal and vertical coordinate, x, of the same pixel in image AB、yBThe horizontal and vertical coordinates of the same pixel in the image B are shown, and r is an intermediate variable;
s3, finding boundary and forming workpiece contour image
Carrying out binarization processing on the image B subjected to distortion removal in the step S2 to obtain an image Bb, then searching a boundary of the image Bb, finding all connected contour areas, and keeping the contour with the largest area as CmaxDeleting other outlines to obtain an outline image D of the workpiece;
s4, calibrating the coordinate system of the outline centroid and the processing platform
The contour C in step S3 is obtainedmaxCharacteristic moment m ═ m00，m10，m01In which m is00Is the area of the profile, m10Is the sum of x-coordinate values in the contour region, m01Is the sum of the y coordinate values in the contour region; the contour centroid coordinate P (x) is obtained according to the following formula (5)c,yc) Setting the centroid coordinate P as the origin of the processing platform;
Figure BDA0002270200540000023
s5, generating a set S of indented contour coordinates required by the user on the workpiece contour imagec
For the contour C in step S3maxAccording to the profile indentation parameter P set by the usersawtoothUsing the following formula (6) to retract inwards to obtain the retracted contour coordinate set S required by the userc，
Figure BDA0002270200540000024
Where (x, y) is the pixel coordinate of the outline in the image D, (x ', y') is the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field and the size of the platform, and the element is a coordinateAn element;
s6 smoothing contour S by median filteringcTo obtain Sc-smooth
When a user is not satisfied with a certain current section of contour, the section of contour can be intercepted by drawing a straight line L through a mouse in an image D, and the intersection point of the L and the contour is obtained as a (x)a,ya)，b(xb,yb) And replacing the contour of the section by a line section ab, smoothing n contour points in front of and behind the intersection points a and b according to a median filtering method, and generating an adjusted smooth contour Sc-smooth；
S7, generating a plurality of contour lines covering the workpiece image according to the preset conditions of the user
For the contour Sc-smoothAccording to the profile expansion parameter P set by the userexpendThe profile S obtained in step S6 is expressed by the following formula (7)c-smoothExpanding outwards to generate a plurality of contours as Sc-expend：
Figure BDA0002270200540000031
Where (x, y) is the contour S in the image Dc-smoothIs (x ', y') the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field to the size of the platform, wherein the element is a coordinate element;
s8, generating a machining path from the contour line
The contour S obtained in step S7c-expendThe pixel coordinates in (b) are converted into the shooting platform actual coordinates according to the homography matrix H in step S1 using the following equations (8) and (9):
Figure BDA0002270200540000032
Figure BDA0002270200540000033
wherein u and v are Sc-expendThe pixel coordinate value of (A) is a gray value, x and y are actual coordinate values of the machining path, x ', y', w 'are intermediate parameters, and (x', y ', w' are intermediate parametersc,yc) And (4) obtaining the origin coordinates of the processing platform obtained in the step (4).
Compared with the prior art, the invention has the beneficial effects that:
the irregular workpiece processing path generation method based on machine vision can adaptively adjust the processing contour according to different shapes, so that the different forming processing does not need manual monitoring and correction, and the automatic process and the efficient production of the different forming processing are improved.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a checkerboard image taken in the present invention;
FIG. 3 is an image of a workpiece taken in the present invention;
FIG. 4 is an image of a workpiece after pretreatment in accordance with the present invention;
FIG. 5 is an image of a workpiece with a single contour generated in accordance with the present invention;
FIG. 6 is an image of a workpiece with a manually adjusted contour in accordance with the present invention;
FIG. 7 is an image of a workpiece after manual contour adjustment in accordance with the present invention;
fig. 8 is a diagram of a workpiece image in which a plurality of contour lines are generated according to a preset condition in the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and examples.
Fig. 1 to fig. 1 are diagrams illustrating a method for generating an irregular workpiece machining path based on machine vision, comprising the following steps:
s1, calibrating camera
Erecting a camera and a backlight plate, calibrating the focal length of the camera, and adjusting the exposure of the camera to ensure that the camera can clearly distinguish a workpiece from the backlight plate; using n multiplied by n checkerboard to shoot m calibration images, and obtaining a homography matrix H and a distortion coefficient distCoeffs ═ k by using a Zhang-Zhengyou calibration method1，k2，p1，p2]Internal reference matrix M1＝[fx，fy，cx，cy]External reference matrix M2(ii) a FIG. 2 shows the calibration result of the present embodiment;
s2, shooting workpiece image and preprocessing
The robot arm is driven to place the workpiece on the stage, and the image of the workpiece is captured and set as an image a, as shown in fig. 3, using the distortion coefficient distCoeffs obtained in step S1 and the internal reference matrix M1Correcting the image A according to the following formulas (1) to (4) to obtain an image B with image distortion removed,
Figure BDA0002270200540000041
Figure BDA0002270200540000042
Figure BDA0002270200540000043
Figure BDA0002270200540000044
wherein x isA、yAIs the horizontal and vertical coordinate, x, of the same pixel in image AB、yBThe horizontal and vertical coordinates of the same pixel in the image B are shown, and r is an intermediate variable;
s3, finding boundary and forming workpiece contour image
Performing binarization processing on the image B subjected to distortion removal in the step S2 to obtain an image Bb, as shown in FIG. 4, then finding a boundary of the image Bb, finding all connected contour areas, and keeping the contour with the largest area as CmaxDeleting other outlines to obtain an outline image D of the workpiece, as shown in FIG. 5;
s4, calibrating the coordinate system of the outline centroid and the processing platform
The contour C in step S3 is obtainedmaxCharacteristic moment m ═ m00，m10，m01In which m is00Is the area of the profile, m10Is the sum of x-coordinate values in the contour region, m01Is the sum of the y coordinate values in the contour region; the contour centroid coordinate P (x) is obtained according to the following formula (5)c,yc) Setting the centroid coordinate P as the origin of the processing platform;
Figure BDA0002270200540000051
s5, generating a set S of indented contour coordinates required by the user on the workpiece contour imagec
For the contour C in step S3maxAccording to the profile indentation parameter P set by the usersawtoothUsing the following formula (6) to retract inwards to obtain the retracted contour coordinate set S required by the userc，
Figure BDA0002270200540000052
Where (x, y) is the pixel coordinate of the outline in the image D, (x ', y') is the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field to the size of the platform, wherein the element is a coordinate element;
s6 smoothing contour S by median filteringcTo obtain Sc-smooth
When a user is not satisfied with a certain current section of contour, the section of contour can be intercepted by drawing a straight line L through a mouse in an image D, and the intersection point of the L and the contour is obtained as a (x)a,ya)，b(xb,yb) And replacing the contour of the section by a line section ab, smoothing n contour points in front of and behind the intersection points a and b according to a median filtering method, and generating an adjusted smooth contour Sc-smoothAs shown in fig. 6;
s7, generating a plurality of contour lines covering the workpiece image according to the preset conditions of the user
Paired wheelOutline Sc-smoothAccording to the profile expansion parameter P set by the userexpendThe profile S obtained in step S6 is expressed by the following formula (7)c-smoothExpanding outwards to generate a plurality of contours as Sc-expend：
Figure BDA0002270200540000053
FIG. 7 shows the machining path adjusted by the user; where (x, y) is the contour S in the image Dc-smoothIs (x ', y') the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field to the size of the platform, wherein the element is a coordinate element;
s8, generating a machining path from the contour line
The contour S obtained in step S7c-expendThe pixel coordinates in (b) are converted into the shooting platform actual coordinates according to the homography matrix H in step S1 using the following equations (8) and (9):
Figure BDA0002270200540000061
Figure BDA0002270200540000062
wherein u and v are Sc-expendThe pixel coordinate value of (A) is a gray value, x and y are actual coordinate values of the machining path, x ', y', w 'are intermediate parameters, and (x', y ', w' are intermediate parametersc，yc) Is the processing platform origin coordinate obtained in step (4), in this embodiment, the processing platform origin coordinate is as follows:
[ outline ]
Center of circle X-coordinate 37.222561
Center Y-coordinate 50.059418
Inner ring profile area 1219.784027
Inner ring profile circumference of 145.181081
Number of turns of the profile being 8
[ 1-circle outline coordinate ]
Number of contour points 6220
Profile coordinate ρ 1-84.789702
Contour coordinate θ 1 is 160.668961
Profile coordinate ρ 2-84.754012
Contour coordinate θ 2 is 160.698242
Profile coordinate ρ 3-84.744780
Contour coordinate θ 3-160.743301
Profile coordinate ρ 4-84.735564
Contour coordinate θ 4-160.788422
Profile coordinate ρ 5-84.726375
Contour coordinate θ 5-160.833542
Profile coordinate ρ 6-84.717204
Contour coordinate θ 6-160.878677
Profile coordinate ρ 7-84.708056
Contour coordinate θ 7-160.923859
Profile coordinate ρ 8-84.698924
Contour coordinate θ 8 is 160.969055
Profile coordinate ρ 9-84.689818
Contour coordinate θ 9-161.014267
Profile coordinate ρ 10-84.680732
Contour coordinate θ 10-161.059509
Profile coordinate ρ 11-84.671664
Contour coordinate θ 11 is 161.104782
The profile coordinate ρ 12 is 84.662619.
As shown in fig. 8, a plurality of machining paths from rough to fine are finally generated.
In order to verify the accuracy of the profile, the measurement is performed by using three standard circles with different sizes, and the experimental results are shown in table 1, wherein the radii of the standard circles are respectively R1-20 mm, R2-30 mm, and R3-40 mm.
TABLE 1
Figure BDA0002270200540000071
Experiments show that the error between the system measurement and the actual measurement is within 0.03mm, and the enterprise requirements are met.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (1)

1. A method for generating an irregular workpiece machining path based on machine vision is characterized by comprising the following steps:
s1, calibrating camera
Erecting a camera and a backlight plate, calibrating the focal length of the camera, and adjusting the exposure of the camera to ensure that the camera can clearly distinguish a workpiece from the backlight plate; using n multiplied by n checkerboard to shoot m calibration images, and obtaining a homography matrix H and a distortion coefficient distCoeffs ═ k by using a Zhang-Zhengyou calibration method1，k2，p1，p2]Internal reference matrix M1＝[fx，fy，cx，cy]External reference matrix M2；
S2, shooting workpiece image and preprocessing
The robot arm is driven to place the workpiece on the stage, an image of the workpiece is taken, and the image is set as an image a, and the distortion coefficient distCoeffs and the internal reference matrix M obtained in step S1 are used1Correcting the image A according to the following formulas (1) to (4) to obtain an image B with image distortion removed,
Figure FDA0002270200530000011
Figure FDA0002270200530000012
Figure FDA0002270200530000013
Figure FDA0002270200530000014
wherein x isA、yAIs the horizontal and vertical coordinate, x, of the same pixel in image AB、yBThe horizontal and vertical coordinates of the same pixel in the image B are shown, and r is an intermediate variable;
s3, finding boundary and forming workpiece contour image
Carrying out binarization processing on the image B subjected to distortion removal in the step S2 to obtain an image Bb, then searching a boundary of the image Bb, finding all connected contour areas, and keeping the contour with the largest area as CmaxDeleting other outlines to obtain an outline image D of the workpiece;
s4, calibrating the coordinate system of the outline centroid and the processing platform
The contour C in step S3 is obtainedmaxCharacteristic moment m ═ m00，m10，m01In which m is00Is the area of the profile, m10Is the sum of x-coordinate values in the contour region, m01Is the sum of the y coordinate values in the contour region; the contour centroid coordinate P (x) is obtained according to the following formula (5)c,yc) Setting the centroid coordinate P as the origin of the processing platform;
Figure FDA0002270200530000015
s5, generating a set S of indented contour coordinates required by the user on the workpiece contour imagec
For the contour C in step S3maxAccording to the profile indentation parameter P set by the usersawtoothIs retracted inward by the following formula (6)Obtaining the set S of indented contour coordinates required by the userc，
Figure FDA0002270200530000021
Where (x, y) is the pixel coordinate of the outline in the image D, (x ', y') is the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field to the size of the platform, wherein the element is a coordinate element;
s6 smoothing contour S by median filteringcTo obtain Sc-smooth
When a user is not satisfied with a certain current section of contour, the section of contour can be intercepted by drawing a straight line L through a mouse in an image D, and the intersection point of the L and the contour is obtained as a (x)a,ya)，b(xb,yb) And replacing the contour of the section by a line section ab, smoothing n contour points in front of and behind the intersection points a and b according to a median filtering method, and generating an adjusted smooth contour Sc-smooth；
S7, generating a plurality of contour lines covering the workpiece image according to the preset conditions of the user
For the contour Sc-smoothAccording to the profile expansion parameter P set by the userexpendThe profile S obtained in step S6 is expressed by the following formula (7)c-smoothExpanding outwards to generate a plurality of contours as Sc-expend：
Figure FDA0002270200530000022
Where (x, y) is the contour S in the image Dc-smoothIs (x ', y') the pixel coordinate of (x, y) adjacent in the image D, kx、kyRespectively representing the horizontal and vertical proportion of the image visual field to the size of the platform, wherein the element is a coordinate element;
s8, generating a machining path from the contour line
The contour S obtained in step S7c-smoothAccording to the pixel coordinates in step S1The homography matrix H is converted into shooting platform actual coordinates using the following equations (8) and (9):
Figure FDA0002270200530000023
Figure FDA0002270200530000024
wherein u and v are Sc-smoothThe pixel coordinate value of (A) is a gray value, x and y are actual coordinate values of the machining path, x ', y', w 'are intermediate parameters, and (x', y ', w' are intermediate parametersc,yc) And (4) obtaining the origin coordinates of the processing platform obtained in the step (4).
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