CN113888572A - Visual plane hole measuring method - Google Patents

Visual plane hole measuring method Download PDF

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CN113888572A
CN113888572A CN202111104572.0A CN202111104572A CN113888572A CN 113888572 A CN113888572 A CN 113888572A CN 202111104572 A CN202111104572 A CN 202111104572A CN 113888572 A CN113888572 A CN 113888572A
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detected
round hole
image
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ellipse
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甘忠
凌子昊
石望兴
杨乐
薛超
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Northwestern Polytechnical University
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    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
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Abstract

The invention discloses a visual plane hole measuring method, which comprises the steps of firstly, obtaining a rough positioning circle center coordinate and a rough positioning diameter by adopting Hough circle detection; acquiring an image around the to-be-detected round hole by taking the rough positioning circle center as a center, and acquiring an image contour around the rough positioning circle center through bilateral filtering and Canny edge detection; then fitting the image contour into an ellipse by using a least square method; calculating the length of the oval major axis pixel as the pixel diameter of the round hole to be detected, and sensing the camera and the depth through the environment of the cameraThe camera carries out space mapping to obtain an environment mesh grid, then the environment mesh grid is used as a collision layer, and the distance between the circle center of the to-be-detected circular ring and the origin of the camera coordinate system is obtained by collision between a cursor point and a grid map; finally obtaining the aperture W of the final round hole to be detectedd. The invention has short measuring period and simple operation, and effectively improves the working efficiency.

Description

Visual plane hole measuring method
Technical Field
The invention belongs to the technical field of computer vision, and particularly relates to a plane hole measuring method.
Background
At present, in the production and manufacturing links of the aircraft industry, circular hole parts are widely used, and the production quality and the assembly precision of the circular hole parts are strictly controlled when the circular hole parts are small as gaskets and when the circular hole parts are large as reinforced wall plates with circular holes. In the quality inspection process of circular hole parts at the present stage, the circular hole aperture is generally measured in a contact measurement mode, and the adopted quantity comprises a digital display caliper, a plug gauge and the like; aiming at the dimension measurement in the manual assembly process of the round hole type part, a contact type measurement mode is also adopted; for some precisely manufactured round hole parts of an airplane, a contact type three-coordinate measuring machine is generally adopted for dimension measurement, or non-contact visual measurement is adopted for dimension measurement.
Among the measurement methods related to the various aperture measurement links, the three-coordinate measurement is the highest in precision, but the method has no general applicability due to higher equipment manufacturing and maintenance cost and disjointed measurement process and industrial production.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a visual plane hole measuring method, which comprises the steps of firstly, obtaining a rough positioning circle center coordinate and a rough positioning diameter by adopting Hough circle detection; acquiring an image around the to-be-detected round hole by taking the rough positioning circle center as a center, and acquiring an image contour around the rough positioning circle center through bilateral filtering and Canny edge detection; then fitting the image contour into an ellipse by using a least square method; calculating the length of a long-axis pixel of the ellipse as the pixel diameter of the round hole to be detected, performing space mapping through an environment sensing camera and a depth camera of a camera to obtain an environment mesh grid, and colliding a cursor point with a grid map by using the environment mesh grid as a collision layer to obtain the distance between the center of the circle of the round ring to be detected and the origin of a coordinate system of the camera; finally obtain the final productAperture W of round hole to be detectedd. The invention has short measuring period and simple operation, and effectively improves the working efficiency.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
step 1: roughly positioning an image which is acquired by VR glasses and contains a round hole to be detected by adopting Hough circle detection to obtain a rough positioning circle center coordinate and a rough positioning diameter of the round hole to be detected in a pixel coordinate system;
the circular hole to be detected is an ellipse in squint, and the ellipse equation is expressed as formula (1):
Figure BDA0003271607430000011
wherein x is0、y0Respectively representing the abscissa and the ordinate of the midpoint of the two focuses, theta represents the included angle between the long axis and the x axis, and a and b respectively represent the long axis and the short axis of the ellipse;
step 2: then, taking the rough positioning circle center as a center, taking a long axis which is twice of the ellipse in the formula (1) as the image width to obtain an image around the round hole to be detected, and then obtaining an image outline around the rough positioning circle center through bilateral filtering and Canny edge detection;
and step 3: fitting the image contour obtained in the step 2 into an ellipse by using a least square method;
and 4, step 4: calculating the length of the ellipse major axis pixel as the pixel diameter e of the round hole to be detectedlThe intersection point of the major axis and the minor axis of the ellipse is used as the circle center pixel coordinate of the round hole to be detected;
and 5: calibrating a camera of the VR glasses by using a Zhangyingyou calibration method to perform internal reference calibration;
step 6: spatial mapping is carried out through an environment perception camera and a depth camera of a camera to obtain an environment mesh grid, so that environment simulation, three-dimensional reconstruction and feature matching are realized, and modeling and digitization of the real world are realized;
and 7: performing man-machine interaction with VR glasses by using a staring function, and projecting a cursor point on a plane where the round hole to be detected is located;
and 8: the environment mesh grid is used as a collision layer, and the distance Z between the circle center of the ring to be detected and the origin of the camera coordinate system is obtained by collision between the cursor point and the grid map0
And step 9: obtaining the aperture W of the final round hole to be detecteddComprises the following steps:
Wd=0.8766-2.393Z0+0.0178el+1.724Z0 2+1.001Z0·el (1)
when parameter elAnd Z0When determined, the only diameter W of the circular hole can be determinedd
Preferably, the VR glasses are HoloLens mixed reality head mounted displays.
Preferably, the bilateral filtering method specifically includes:
bilateral filtering is compromise processing of spatial proximity and pixel value similarity of an image, and simultaneously considers spatial information and gray level similarity to achieve the purpose of edge-preserving and denoising; the specific formula is as follows:
Figure BDA0003271607430000021
wherein
Figure BDA0003271607430000022
Figure BDA0003271607430000023
-the filtered image pixel values;
p, q-pixel point coordinates of the center point and the surrounding points of the template window;
Ip,Iq-pixel values of the template window center point and surrounding points;
Figure BDA0003271607430000024
within the filtering windowA weighted sum of each pixel value;
σs(p-q) is the spatial distance weight of the pixel point;
σr(|Ip-Iq|) -pixel value weight of an image point.
The invention has the following beneficial effects:
1. the method is non-contact measurement, can well avoid part damage in the measurement process aiming at round hole parts with higher surface quality requirements, and has good applicability;
2. the method is applied to the detection of the round hole in the assembly process, and the size of the round hole is measured by wearing VR virtual glasses, so that the time for manually measuring by using a measuring tool is shortened, hands are successfully liberated, the influence of human factors is reduced, and the working efficiency is improved.
3. The method has the advantages of short measurement period and simple operation, does not need operations such as zero setting and the like after the initialization and repeated measurement, and effectively improves the working efficiency.
4. Adopt VR glasses plane hole measuring module easy operation, only need wear the back and visualize the round hole and keep static relatively and can measure, this module has good suitability to the measuring environment of many visual angles, has reduced the requirement of visual measurement to the environment.
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FIG. 1 is a flow chart of the present invention.
Fig. 2 is a frame diagram of a HoloLens planar aperture measurement module.
Fig. 3 is a diagram of a HoloLens vision measurement model.
FIG. 4 is a graph of the effect of Gaussian filtering, median filtering and bilateral filtering; (a) gaussian filtering, (b) median filtering, (c) bilateral filtering.
FIG. 5 is a comparison graph of edge detection performed by a Sobel operator, a LOG operator and a Canny operator; wherein (a) the input image, (b) the Sobel operator, (c) the LOG operator, and (d) the Canny operator.
Fig. 6 is a diagram showing the detection effect of the round hole of the test part, wherein (a) is a front view, (b) a view angle is deflected to fig. 1, (c) a view angle is deflected to fig. 2, and (d) a view angle is deflected to fig. 3.
Fig. 7 is an augmented reality framework diagram.
Fig. 8 is a plot of the HoloLens sensor position distribution according to an embodiment of the present invention.
Fig. 9 is a spatial mesh grid established by a spatial mapping function according to an embodiment of the present invention.
FIG. 10 is a schematic view of Unity simulating HoloLens gaze rays according to an embodiment of the present invention.
FIG. 11 is a schematic diagram of a Unity simulation HoloLens wall cursor according to an embodiment of the present invention.
Fig. 12 is a HoloLens module display in accordance with an embodiment of the present invention.
Fig. 13 shows a measurement sample according to an embodiment of the present invention.
FIG. 14 is a graph of measurement results according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
The invention is researched aiming at a mobile vision measurement method, designs a mobile measurement module which can be deployed on VR glasses, solves the problem of aperture measurement facing to a plane round hole, provides a plane round hole aperture measurement method based on Hough transform by combining image processing and augmented reality technologies, and has better applicability.
As shown in fig. 1 and 2, a visual plane hole measuring method includes the steps of:
step 1: roughly positioning an image which is acquired by VR glasses and contains a round hole to be detected by adopting Hough circle detection to obtain a rough positioning circle center coordinate and a rough positioning diameter of the round hole to be detected in a pixel coordinate system;
the circular hole to be detected is an ellipse in squint, and the ellipse equation is expressed as formula (1):
Figure BDA0003271607430000041
step 2: then, taking the rough positioning circle center as a center, taking the two times of the rough positioning diameter as the image width to obtain an image around the round hole to be detected, and then obtaining an image outline around the rough positioning circle center through bilateral filtering and Canny edge detection;
and step 3: fitting the image contour obtained in the step 2 into an ellipse by using a least square method;
and 4, step 4: calculating the length of the ellipse major axis pixel as the pixel diameter e of the round hole to be detectedlThe intersection point of the major axis and the minor axis of the ellipse is used as the circle center pixel coordinate of the round hole to be detected;
and 5: calibrating a camera of the VR glasses by using a Zhangyingyou calibration method to perform internal reference calibration;
step 6: as shown in fig. 8, an environment mesh grid is obtained by performing spatial mapping on an environment sensing camera and a depth camera of a camera, so as to realize environment simulation, three-dimensional reconstruction and feature matching, and realize real world modeling and digitization;
and 7: performing man-machine interaction with VR glasses by using a staring function, and projecting a cursor point on a plane where the round hole to be detected is located;
and 8: as shown in fig. 9, the environment mesh grid is used as a collision layer, and the distance Z between the center of the circle to be detected and the origin of the camera coordinate system is obtained by collision between the cursor point and the grid map0
And step 9: obtaining the aperture W of the final round hole to be detecteddComprises the following steps:
Wd=0.8766-2.393Z0+0.0178el+1.724Z0 2+1.001Z0·el (1)
when parameter elAnd Z0When determined, the only diameter W of the circular hole can be determinedd
The specific embodiment is as follows:
as shown in fig. 7, which is an augmented reality frame diagram, the method of the present invention can obtain the required depth data through the augmented reality function of HoloLnes, and can complete the aperture calculation work of the measurement module by combining with the image processing technology.
1. Opening the HoloLens, opening the plane hole measuring module, and when the ray distance is displayed on the UI interface, indicating that the map initialization is finished and the measuring operation can be executed;
2. clicking a button for displaying a measurement picture in a module function interface presented by HoloLens, adjusting the head pose in the picture after starting picture display so that the measurement center point is contained in the outline of the round hole to be measured, starting to perform circle center rough positioning, and successfully acquiring image outline data after detecting the circle center;
2.1, carrying out graying processing on the image to reduce useless information;
2.2 circle center coarse positioning is carried out by adopting Hough circle detection;
2.3, adopting bilateral filtering denoising, as shown in FIG. 4; and 4, the bilateral filtering effect is best.
2.4 adopting canny operator edge detection; comparing fig. 5, the Canny edge detection works best.
2.5 adopting a findContours function to search the contour and outputting a two-dimensional point set of pixels in the image;
2.6 fitting the two-dimensional point sets into an ellipse by using a least square method;
3. after image contour data are successfully acquired, the UI first displays the diameter of the round hole subjected to Hough detection, meanwhile, contour fitting is carried out on the image, the contour and the central point of the round hole are displayed, the measuring central point is overlapped with the elliptic central point subjected to contour fitting, the relative stillness is kept for about 1s, and the background server can conveniently carry out aperture calculation;
4. in the design of the plane hole measuring module based on the HoloLens, an embedded module program is adopted, an image processing program, an augmented reality program and an aperture calculation program are integrated in Unity3D software, and are released as a UWP (Universal Windows Platform, Windows Universal Platform) application program and are deployed in a HoloLens of the HoloLens generation of the HoloLens to carry out plane empty hole diameter measuring experiment operation.
The HoloLens parameter applies an image processing low power mode of 896 x 504 resolution, 30FPS (30 frames per second transport), horizontal field of view (H-FOV)48 degrees.
The choice was Unity3D personal edition (2019.2.8f1), Visual Studio Community 2019 (16.7.2).
The programming work can be completed through C # language, open source computer vision library OpenCV and augmented reality development tool MRTK.
4.1 building a module frame;
4.2 module interface design, namely a UI interface designed by using Unity3D and an operation interface in the HoloLens glasses;
4.3 the method is realized by program, after the framework of the HoloLens plane hole measuring method is determined, corresponding functions are realized by writing the program by using a corresponding algorithm.
For background data processing, writing a code file through C # language, and adding the code into related components of a design interface to realize corresponding functions. Table 1 describes the functions or components called to implement the various framework programs.
TABLE 1 implementation of functions or Components called by various framework programs
Figure BDA0003271607430000061
5. After the calculation is finished, the UI display interface displays the background calculation result, the measurement result is reserved, and if the next measurement operation is not executed, the HoloLens continuously displays the measurement data.
Fig. 3 is a view of a HoloLens vision measurement model, wherein A, B, C is the original point of the coordinate system of three types of cameras, and the three types of coordinate systems represent the camera viewing angles including all the viewing angles of the measurement module described in the present invention, which are measured by the circular hole of the HoloLens worn by the user, and the center of the default circular hole passes through the main optical axis of the camera. The view angle A is the ideal state view angle of the traditional model, but when an observer is in the view angle B or C for observation, the observed circular hole imaging is different from the formal projection, and the imaging can be changed into an ellipse with corresponding distortion. The imaging ellipses are different due to different camera visual angles, but the major axes of all the imaging ellipses are equal to the diameter of a real circular hole. Ellipse detection is further performed on the basis of circle detection.
Fig. 12 is a HoloLens module display. The following are shown: object distance/m, pixel coordinate system diameter/pixel, real calculation size/m, Hough rough positioning round hole diameter and measurement deflection angle.
Fig. 13 is a measurement sample, fig. 6 is a diagram illustrating the detection effect of the circular hole of the test part, wherein (a) is a front view, (b) the view angle is deflected to fig. 1, (c) the view angle is deflected to fig. 2, and (d) the view angle is deflected to fig. 3; fig. 14 is a graph of the measurement results.
Experiment step 1: the method comprises the following steps of preparing an experiment, wherein a sample piece is an aluminum alloy round hole test piece, a vernier caliper and a HoloLens, and the sample piece is measured by the vernier caliper, and the diameters of four groups of round holes are respectively 11.50mm, 18.00mm, 27.50mm and 35.00 mm.
Experiment step 2: and (3) wearing HoloLens to carry out a measurement experiment on the test piece, and recording five items of data of the diameter of the coarse positioning hole, the size of the long axis of ellipse fitting, the ray distance of the current measurement frame, the included angle between the ray and the plane normal and the finally calculated diameter data. The results are shown in tables 2 to 5:
table 2: hole 11.5mm
Figure BDA0003271607430000071
TABLE 3 holes 18.00mm
Figure BDA0003271607430000072
TABLE 4 holes 27.50mm
Figure BDA0003271607430000073
Figure BDA0003271607430000081
TABLE 5 holes 35.00mm
Figure BDA0003271607430000082
From the above data, one can obtain:
1. the result of multi-angle measurement tends to be stable, and the measurement module is proved to have better applicability to deflection visual angles;
and 2, errors measured by the HoloLens measuring module are all maintained below 1%, and the measured errors are less than or equal to 0.30mm, so that the measuring requirements in the assembling and detecting process are met.

Claims (3)

1. A visual planar bore measurement method, comprising the steps of:
step 1: roughly positioning an image which is acquired by VR glasses and contains a round hole to be detected by adopting Hough circle detection to obtain a rough positioning circle center coordinate and a rough positioning diameter of the round hole to be detected in a pixel coordinate system;
the circular hole to be detected is an ellipse in squint, and the ellipse equation is expressed as formula (1):
Figure FDA0003271607420000011
wherein x is0、y0Respectively representing the abscissa and the ordinate of the midpoint of the two focuses, theta represents the included angle between the long axis and the x axis, and a and b respectively represent the long axis and the short axis of the ellipse;
step 2: then, taking the rough positioning circle center as a center, taking a long axis which is twice of the ellipse in the formula (1) as the image width to obtain an image around the round hole to be detected, and then obtaining an image outline around the rough positioning circle center through bilateral filtering and Canny edge detection;
and step 3: fitting the image contour obtained in the step 2 into an ellipse by using a least square method;
and 4, step 4: calculating the length of the ellipse major axis pixel as the pixel diameter e of the round hole to be detectedlThe intersection point of the major axis and the minor axis of the ellipse is used as the circle center pixel coordinate of the round hole to be detected;
and 5: calibrating a camera of the VR glasses by using a Zhangyingyou calibration method to perform internal reference calibration;
step 6: spatial mapping is carried out through an environment perception camera and a depth camera of a camera to obtain an environment mesh grid, so that environment simulation, three-dimensional reconstruction and feature matching are realized, and modeling and digitization of the real world are realized;
and 7: performing man-machine interaction with VR glasses by using a staring function, and projecting a cursor point on a plane where the round hole to be detected is located;
and 8: the environment mesh grid is used as a collision layer, and the distance Z between the circle center of the ring to be detected and the origin of the camera coordinate system is obtained by collision between the cursor point and the grid map0
And step 9: obtaining the aperture W of the final round hole to be detecteddComprises the following steps:
Wd=0.8766-2.393Z0+0.0178el+1.724Z0 2+1.001Z0·el (1)
when parameter elAnd Z0When determined, the only diameter W of the circular hole can be determinedd
2. A visual planometer measurement method as claimed in claim 1, wherein the VR glasses are HoloLens mixed reality head mounted displays.
3. A visual planar hole measurement method as claimed in claim 1, wherein said bilateral filtering method is as follows:
bilateral filtering is compromise processing of spatial proximity and pixel value similarity of an image, and simultaneously considers spatial information and gray level similarity to achieve the purpose of edge-preserving and denoising; the specific formula is as follows:
Figure FDA0003271607420000021
wherein
Figure FDA0003271607420000022
Figure FDA0003271607420000023
-the filtered image pixel values;
p, q-pixel point coordinates of the center point and the surrounding points of the template window;
Ip,Iq-pixel values of the template window center point and surrounding points;
Figure FDA0003271607420000024
-the weighted sum of each pixel value within the filtering window;
σs(p-q) is the spatial distance weight of the pixel point;
σr(|Ip-lq|) -pixel value weight of an image point.
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