CN117346655A - Measurement adjustment method based on image processing - Google Patents
Measurement adjustment method based on image processing Download PDFInfo
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- CN117346655A CN117346655A CN202311181688.3A CN202311181688A CN117346655A CN 117346655 A CN117346655 A CN 117346655A CN 202311181688 A CN202311181688 A CN 202311181688A CN 117346655 A CN117346655 A CN 117346655A
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- 238000005259 measurement Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000007781 pre-processing Methods 0.000 claims abstract description 6
- 238000001914 filtration Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 abstract description 2
- 230000003287 optical effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/82—Camera processing pipelines; Components thereof for controlling camera response irrespective of the scene brightness, e.g. gamma correction
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- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention relates to the field of inspection and detection, in particular to a measurement adjustment method based on image processing, which comprises the following steps: s1, mounting a camera on a measuring frame; s2, placing a standard plate on a measuring frame platform; s3, obtaining image information of a standard board and preprocessing an image; s4, extracting characteristic contours on the standard plate image, and calculating coordinate values of center points of the contours; s5, constructing cross lines through coordinate values, and calculating cross line included angles between adjacent cross lines; s6, setting a threshold value, and comparing the intersection line included angle with the threshold value to judge whether the photographing direction of the camera is vertical to the platform of the measuring frame or not; s7, adjusting a camera or a measuring frame platform according to the intersection line included angle value; s8, re-photographing to obtain the adjusted standard plate image information until the requirements are met. The equipment adopted by the method has the advantages of simple structure, low cost, high efficiency and the like, and helps enterprises reduce the cost.
Description
Technical Field
The invention relates to the field of inspection and detection, in particular to a measurement adjustment method based on image processing, which can solve the problem that the shooting direction (optical axis) of a camera in an image processing system is not vertical to a measurement frame platform.
Background
Machine vision is an important technical support direction indispensable in the industrial manufacturing field, and a product to be shot is converted into an image signal through a machine vision product (namely an image pickup device) and is transmitted to a special image processing system, and the image processing system performs various operations on the signals to extract characteristics of a target so as to make a judgment. Machine vision has been applied to industrial production sites on a large scale, and geometric dimension measurement, surface defect recognition, etc. have been performed on product objects to determine product quality.
The image measurement is an important branch direction of machine vision, a measured product is placed on a measuring frame platform, a camera is arranged above or on the side face of the product, and the edge profile is extracted through proper light source design, so that the measurement of the geometric dimension is realized. In the standard part industry, the measuring of the characteristics of the height, diameter, steps, chamfer, threads and the like of products such as rivets, screws and the like is realized through the mode.
When the camera is arranged above the product, the shooting direction (optical axis) of the camera and the platform for placing the measured object are in a vertical relationship, so that the product can be ensured not to be in an inclined state when shooting, and shooting is performed from the position right above the product. If an offset angle exists between the shooting direction (optical axis) of the camera and the platform on which the measured object is placed (i.e. not vertical), after the measured object is placed on the platform, the image shot by the camera is in a state after the product is inclined, and a high-quality image cannot be obtained, so that the difficulty in subsequent image processing is rapidly increased, and even effective contour extraction cannot be performed.
Therefore, when arranging the camera and the workbench in the image measurement, an efficient method is needed to rapidly measure the relative relationship between the shooting direction (optical axis) of the camera and the workbench of the measuring frame, and to adjust feedback in real time according to the measurement result.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a measurement adjustment method based on image processing for the problem of non-perpendicularity between a camera shooting direction (optical axis) and a measurement stand platform surface in an image processing system.
In order to achieve the technical effects, the technical scheme of the application is as follows:
a measurement adjustment method based on image processing, comprising the steps of:
s1, installing a camera on a measuring frame, and initially adjusting the camera and a measuring frame platform;
s2, placing the standard plate on a measuring frame platform, and ensuring that the standard plate and the measuring frame platform do not move relatively;
s3, shooting by using a camera to obtain image information of the standard board, and preprocessing the image;
s4, extracting characteristic contours on the standard plate image, and calculating coordinate values of center points of the contours;
s5, constructing cross lines through coordinate values, and calculating cross line included angles between adjacent cross lines;
s6, setting a threshold value, comparing the intersection line included angle with the threshold value to judge whether the photographing direction of the camera is vertical to the measuring frame platform, and if the vertical requirement is met, not adjusting the camera and the measuring frame platform; if the vertical requirement is not satisfied, S7 is executed;
s7, adjusting a camera or a measuring frame platform according to the intersection line included angle value;
s8, re-photographing by using a camera to obtain the adjusted standard plate image information, and repeating the steps S3 to S6 until the requirements are met.
Further, the standard plate in the step S2 is of a square outline, and the upper surface and the lower surface are parallel; the upper surface of the standard plate comprises N standard round outline patterns which are uniformly distributed along the circumferential direction on the radius R by taking the center of the standard plate as an origin; the color of the rest part on the circular outline pattern and the standard plate is black-white; the number N of the circular outline patterns is more than or equal to 4 and is even.
Further, the pretreatment of S3 is: firstly, carrying out gray scale processing on an image, and converting a color image into a gray scale image; then, binarizing the gray level image to convert the gray level image into a black-and-white image; and finally, filtering the binarized image to eliminate noise influence brought by a standard board or in the photographing process.
Further, S4 is specifically: firstly, extracting an edge contour pixel point set of a circular contour feature on a standard plate image, and establishing a standard elliptical contour equation by an elliptical fitting method to obtain an elliptical center point coordinate value P i ＝(X i ,Y i ) Where i=0, 1,.. i Is the abscissa of the ellipse center point, Y i Is the ordinate of the ellipse center point, n=4 or n=6.
Further, when n=4, two intersecting line segments are respectively established through two points farthest from each other, and an angle difference between the two line segments under a pixel coordinate system is calculated to obtain an included angle alpha of the two intersecting lines 1 、α 2 。
Still further, when n=4, after calculating the intersection angle between the line segments, the following rule is used to determine:
3) Setting a threshold value as alpha, wherein the threshold value is a standard for judging whether the plane of the standard plate is vertical to the photographing direction of the camera;
4) When meeting alpha at the same time 1 Not less than alpha and alpha 2 When the angle is not less than alpha, the angle between the plane of the standard plate and the photographing direction of the camera meets the requirement and is in a vertical state;
3) When alpha appears 1 < alpha or alpha 2 When < alpha, the angle between the plane of the standard board and the photographing direction of the camera is not shownThe requirement is met, the plane of the standard plate is not perpendicular to the photographing direction of the camera, and adjustment is needed;
and (3) after the result is obtained, adjusting the position and the posture of the measuring frame platform or the camera, re-photographing to obtain an image, and repeating the steps to calculate the intersection line included angle between the line segments again until the 2) is satisfied.
Further, when n=6, three mutually intersecting line segments are respectively established through two points farthest from each other, and three intersection line angles beta between two adjacent line segments are obtained by calculating the angle difference of the three line segments under the pixel coordinate system 1 、β 2 、β 3 。
Still further, when n=6, after calculating the intersection angle between the line segments, the following rule is used to determine:
3) Setting a threshold value as beta, wherein the threshold value is a standard for judging whether the plane of the standard plate is vertical to the photographing direction of the camera;
4) When meeting beta 1 ≥β、β 2 ≥β、β 3 When the angle is not less than beta, the angle between the plane of the standard plate and the photographing direction of the camera meets the requirement and is in a vertical state;
3) When beta is present 1 < beta or beta 2 < beta or beta 3 When beta is less than beta, the angle between the plane of the standard plate and the photographing direction of the camera does not meet the requirement, and the plane of the standard plate is not perpendicular to the photographing direction of the camera and needs to be adjusted;
and after the result is obtained, properly adjusting the position and the posture of the measuring frame platform or the camera, re-photographing to obtain an image, and repeating the steps to calculate the intersection line included angle between the line segments again until the 2) is satisfied.
Further, when the measurement stand platform is square in outline, a standard plate of n=4 is selected.
Further, when the measurement stand platform is polygonal or circular, a standard plate of n=6 is selected.
The application has the advantages that:
1. compared with complex precise digital measurement equipment, the equipment adopted by the method has the advantages of simple structure, low cost, high efficiency and the like, and helps enterprises reduce cost.
2. Compared with complex precise digital measurement equipment, the method is simple to operate, and the measurement efficiency is greatly improved.
Drawings
FIG. 1 is a schematic view of a camera and measurement stand platform.
Fig. 2 is a schematic diagram of a standard plate with n=4 placed on a measurement stand platform.
Fig. 3 is a schematic diagram of a standard plate with n=6 placed on a measurement stand platform.
Fig. 4 is a standard plate gray scale.
Fig. 5 is a standard plate binarization chart.
Fig. 6 is a schematic diagram of a contour recognition result.
Fig. 7 shows the result of standard plate image processing with a certain deflection angle.
Fig. 8 is a standard plate image processing result after adjusting the measuring frame platform.
In the accompanying drawings: 1-camera, 2-measuring frame platform, 3-N=4 standard board, 4-N=6 standard board, 5-circular mark point, 6-cross line, 7-cross line contained angle.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are intended to explain the present invention rather than to limit the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention will be described in further detail with reference to the drawings and examples, but the invention is not limited to the examples.
Example 1
As shown in fig. 1, a measurement adjustment method based on image processing includes the steps of: s1, installing a camera 1 on a measuring frame, and primarily adjusting the camera 1 and a measuring frame platform 2; s2, placing the standard plate on the measuring frame platform 2, and ensuring that the standard plate and the measuring frame platform 2 do not move relatively; s3, shooting by using the camera 1 to obtain image information of the standard board, and preprocessing the image; s4, extracting characteristic contours on the standard plate image, and calculating coordinate values of center points of the contours; s5, constructing cross lines 6 through coordinate values, and calculating a cross line included angle 7 between adjacent cross lines 6; s6, setting a threshold value, and comparing the intersection line included angle 7 with the threshold value to judge whether the photographing direction of the camera 1 is vertical to the measuring frame platform 2 or not; s7, adjusting the camera 1 or the measuring frame platform 2 according to the intersection line included angle 7; s8, re-photographing by using the camera 1 to obtain the adjusted standard plate image information, and repeating the steps S3 to S6 until the requirements are met.
Example 2
As shown in fig. 1, a measurement adjustment method based on image processing includes the steps of: s1, installing a camera 1 on a measuring frame, and primarily adjusting the camera 1 and a measuring frame platform 2; s2, placing the standard plate on the measuring frame platform 2, and ensuring that the standard plate and the measuring frame platform 2 do not move relatively; s3, shooting by using the camera 1 to obtain image information of the standard board, and preprocessing the image; s4, extracting characteristic contours on the standard plate image, and calculating coordinate values of center points of the contours; s5, constructing cross lines 6 through coordinate values, and calculating a cross line included angle 7 between adjacent cross lines 6; s6, setting a threshold value, and comparing the intersection line included angle 7 with the threshold value to judge whether the photographing direction of the camera 1 is vertical to the measuring frame platform 2 or not; s7, adjusting the camera 1 or the measuring frame platform 2 according to the intersection line included angle 7; s8, re-photographing by using the camera 1 to obtain the adjusted standard plate image information, and repeating the steps S3 to S6 until the requirements are met.
The standard plate is square in outline, and the upper surface and the lower surface are parallel, so that the standard plate has certain hardness and deformation resistance; the upper surface of the standard plate comprises N standard circular outline patterns which take the center of the standard plate as an origin and are uniformly distributed on the radius R along the circumferential direction, the size of the radius R can be determined by the number of the standard plate area and the standard plate center synthesized by the skilled person, and the determination of the radius R belongs to the technical means known to the skilled person; the color of the rest part on the circular outline pattern and the standard plate is black-white; the number of the circular outline patterns N is equal to or greater than 4 and is even, and N=4 or N=6 is generally taken.
As shown in fig. 4, gray processing is performed on an image, a color image is converted into a gray image, and N circular mark points 5 are arranged on the gray image; as shown in fig. 5, the gray scale image is then binarized to convert to a black-and-white image; as shown in fig. 6, the binarized image is finally filtered to eliminate noise effects caused by the standard board or the photographing process.
Because the photographing direction of the measuring frame platform 2 and the camera 1 is not vertical, namely a certain deflection angle exists, the projection of a standard circle on the standard plate becomes an ellipse during actual imaging;
firstly, extracting an edge contour pixel point set of a circular contour feature on a standard plate image, establishing a standard elliptical contour equation by an elliptical fitting method, and further obtaining an elliptical center point coordinate value P i ＝(X i ,Y i ) Wherein i=0, 1,..n-1;
when n=4, two mutually intersected line segments are respectively established through two points with the farthest distance, and two intersection line included angles 7 alpha 1 and alpha between the two line segments are obtained by calculating the angle difference of the two line segments under a pixel coordinate system 2 : when n=6, three mutually intersected line segments are respectively established through two points farthest in distance, and three intersection line included angles 7 beta between two adjacent line segments are obtained by calculating angle differences of the three line segments under a pixel coordinate system 1 、β 2 、β 3 。
When n=4, after calculating the intersection angle 7 between the line segments, the following rule is used to determine:
1) Setting a threshold value as alpha, wherein the threshold value is a standard for judging whether the plane of the standard plate is perpendicular to the photographing direction of the camera 1;
2) When meeting alpha at the same time 1 Not less than alpha and alpha 2 When the angle is not less than alpha, the angle between the plane of the standard plate and the photographing direction of the camera 1 meets the requirement and is in a vertical state;
3) When alpha appears 1 < alpha or alpha 2 When < alpha, the standard plate plane and the camera 1 are representedThe angle between the photographing directions does not meet the requirement, and the plane of the standard board is not perpendicular to the photographing direction of the camera 1, and needs to be adjusted.
After the result is obtained, the pose of the measuring frame platform 2 or the camera 1 is properly adjusted, then the image is re-photographed and acquired, the steps are repeated to calculate the included angle 7 of the intersecting lines between the line segments again, and the process is finished until the condition of the 2) is met.
When n=6, after calculating the intersection angle 7 between the line segments, the following rule is used to determine:
1) Setting a threshold value as beta, wherein the threshold value is a standard for judging whether the plane of the standard plate is perpendicular to the photographing direction of the camera 1;
2) When meeting beta 1 ≥β、β 2 ≥β、β 3 When the angle is not less than beta, the angle between the plane of the standard plate and the photographing direction of the camera 1 meets the requirement and is in a vertical state;
3) When beta is present 1 < beta or beta 2 < beta or beta 3 When beta is less than beta, the angle between the standard plate plane and the photographing direction of the camera 1 does not meet the requirement, and the standard plate plane is not perpendicular to the photographing direction of the camera 1 and needs to be adjusted.
After the result is obtained, the pose of the measuring frame platform 2 or the camera 1 is properly adjusted, then the image is re-photographed and acquired, the steps are repeated to calculate the included angle 7 of the intersecting lines between the line segments again, and the process is finished until the condition of the 2) is met.
A standard plate which is closer to the contour shape of the measuring rack platform 2 is selected, and the measuring result has higher guidance on the adjustment of the measuring rack platform 2. As shown in fig. 2, when the measuring rack platform 2 is square in outline, a standard plate 3 of n=4 can be selected; as shown in fig. 3, when the measuring rack platform 2 is polygonal or circular, a standard plate 4 of n=6 may be selected.
Example 3
On the basis of the embodiment 1 and the embodiment 2, the flat size of a certain vision measuring frame is 150 x 150mm, and the camera 1 and the lens are arranged right above the vision measuring frame and are mainly used for measuring the outline size of a product. After the camera 1 and the lens are mounted on the measuring frame, it is found that the photographing direction (optical axis) of the camera 1 is not perpendicular to the surface of the measuring frame stage 2, and thus adjustment is required. Standard plates with a side length of 100 x 100mm were designed, on which the number of circular profile features n=4.
The standard board is placed on the measuring frame platform 2 and is located under the camera 1, the image information is obtained through photographing, and preprocessing such as gray level conversion and binarization is carried out, as shown in fig. 4 and 5.
The pre-processed image was analyzed using image processing software to identify 4 edge contours in the image and to mark the edge contours as shown in fig. 6.
4 edge contours are fitted by adopting an ellipse fitting method, 4 ellipse center coordinate values are calculated, two connecting lines with far distances between 4 center points draw a cross line 6, and a cross line included angle 7 between the two cross lines 6 is calculated, as shown in fig. 7. It can be seen that the intersection angle 7 corresponding to the upper and lower sectors (x 1, y 1) and (x 4, y 4) in the figure is 86.23 °, and the angle corresponding to the left and right sectors (x 3, y 3) and (x 2, y 2) is 93.77 °, which indicates that the measuring rack platform 2 is inclined in the left and right direction.
After the table is adjusted, the above steps are repeated and the intersection angle 7 between the intersection lines 6 is recalculated, as shown in fig. 8. It can be seen that the angles corresponding to the upper and lower sectors (x 1, y 1) and (x 4, y 4) in the figure have been improved to 89.8 °, and the angles corresponding to the left and right sectors (x 3, y 3) and (x 2, y 2) have been improved to 90.2 °, which means that the tilting of the measuring rack platform 2 in the left and right direction has been significantly improved.
Claims (10)
1. The measurement adjustment method based on image processing is characterized in that: the method comprises the following steps:
s1, installing a camera (1) on a measuring frame, and initially adjusting the camera (1) and a measuring frame platform (2);
s2, placing the standard plate on the measuring frame platform (2) and ensuring that the standard plate and the measuring frame platform (2) do not move relatively;
s3, shooting by using a camera (1) to obtain image information of the standard board, and preprocessing the image;
s4, extracting characteristic contours on the standard plate image, and calculating coordinate values of center points of the contours;
s5, constructing cross lines (6) through coordinate values, and calculating cross line included angles (7) between adjacent cross lines (6);
s6, setting a threshold value, comparing the intersection line included angle (7) with the threshold value to judge whether the photographing direction of the camera (1) is vertical to the measuring frame platform (2), and if the photographing direction meets the vertical requirement, not adjusting the camera (1) and the measuring frame platform (2); if the vertical requirement is not satisfied, S7 is executed;
s7, adjusting the camera (1) or the measuring frame platform (2) according to the value of the intersection line included angle (7);
s8, re-photographing by using the camera (1) to obtain the adjusted standard plate image information, and repeating the steps S3 to S6 until the requirements are met.
2. The measurement adjustment method based on image processing according to claim 1, wherein: the standard plate in the step S2 is of a square outline, and the upper surface and the lower surface are parallel; the upper surface of the standard plate comprises N standard round outline patterns which are uniformly distributed along the circumferential direction on the radius R by taking the center of the standard plate as an origin; the color of the rest part on the circular outline pattern and the standard plate is black-white; the number N of the circular outline patterns is more than or equal to 4 and is even.
3. The measurement adjustment method based on image processing according to claim 1, wherein: the pretreatment of S3 is as follows: firstly, carrying out gray scale processing on an image, and converting a color image into a gray scale image; then, binarizing the gray level image to convert the gray level image into a black-and-white image; and finally, filtering the binarized image to eliminate noise influence brought by a standard board or in the photographing process.
4. The measurement adjustment method based on image processing according to claim 1, wherein: s4 specifically comprises the following steps: firstly, extracting an edge contour pixel point set of a circular contour feature on a standard plate image, and establishing a standard elliptical contour equation by an elliptical fitting method to obtain an elliptical center point coordinate value P i ＝(X i ,Y i ) Where i=0, 1,.. i Is the abscissa of the ellipse center point, Y i Is the ordinate of the ellipse center point, n=4 or n=6.
5. The image processing-based measurement adjustment method according to claim 4, wherein: when n=4, two mutually intersected line segments are respectively established through two points with the farthest distance, and the angle difference of the two line segments under a pixel coordinate system is calculated to obtain two intersection line included angles (7) alpha between the two line segments 1 、α 2 。
6. The image processing-based measurement adjustment method according to claim 5, wherein: when n=4, after calculating the intersection line included angle (7) between the line segments, judging according to the following rule:
1) Setting a threshold value as alpha, wherein the threshold value is a standard for judging whether the plane of the standard plate is vertical to the photographing direction of the camera (1);
2) When meeting alpha at the same time 1 Not less than alpha and alpha 2 When the angle is not less than alpha, the angle between the plane of the standard plate and the photographing direction of the camera (1) meets the requirement and is in a vertical state;
3) When alpha appears 1 < alpha or alpha 2 When the angle is less than alpha, the angle between the plane of the standard plate and the photographing direction of the camera (1) is not satisfied, and the plane of the standard plate is not perpendicular to the photographing direction of the camera (1) and needs to be adjusted;
after the result is obtained, the pose of the measuring frame platform (2) or the camera (1) is adjusted, the image is obtained by re-photographing, the steps are repeated, and the included angle (7) of the cross lines between the line segments is calculated again until the condition that the 2 nd line is met is finished.
7. The image processing-based measurement adjustment method according to claim 4, wherein: when n=6, three mutually intersected line segments are respectively established through two points with the farthest distance, and three intersection line included angles (7) beta between two adjacent line segments are obtained by calculating the angle difference of the three line segments under a pixel coordinate system 1 、β 2 、β 3 。
8. The image processing-based measurement adjustment method according to claim 7, wherein: when n=6, after calculating the intersection line included angle (7) between the line segments, judging according to the following rule:
1) Setting a threshold value as beta, wherein the threshold value is a standard for judging whether the plane of the standard plate is vertical to the photographing direction of the camera (1);
2) When meeting beta 1 ≥β、β 2 ≥β、β 3 When the angle is not less than beta, the angle between the plane of the standard plate and the photographing direction of the camera (1) meets the requirement and is in a vertical state;
3) When beta is present 1 <Beta or beta 2 <Beta or beta 3 <When beta, the angle between the standard plate plane and the photographing direction of the camera (1) is not satisfied, the standard plate plane is not perpendicular to the photographing direction of the camera (1), and adjustment is needed;
after the result is obtained, the pose of the measuring frame platform (2) or the camera (1) is properly adjusted, then the image is re-photographed to obtain the image, the steps are repeated to calculate the intersection line included angle (7) between the line segments again, and the process is finished until the condition of the 2 nd line is met.
9. The image processing-based measurement adjustment method according to claim 4, wherein: when the measurement frame platform (2) is square in outline, a standard plate (3) of n=4 is selected.
10. The image processing-based measurement adjustment method according to claim 4, wherein: when the measuring rack platform (2) is polygonal or circular, a standard plate (4) with n=6 is selected.
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