CN102967277A - Method for measuring depth of parallelism of orienting pipes - Google Patents

Method for measuring depth of parallelism of orienting pipes Download PDF

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Publication number
CN102967277A
CN102967277A CN2012104663090A CN201210466309A CN102967277A CN 102967277 A CN102967277 A CN 102967277A CN 2012104663090 A CN2012104663090 A CN 2012104663090A CN 201210466309 A CN201210466309 A CN 201210466309A CN 102967277 A CN102967277 A CN 102967277A
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image
oriented tube
parallelism
depth
orienting
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CN2012104663090A
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尹玉军
尹晓春
罗晓贺
关贞珍
刘景江
万家庆
唐卫
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尹玉军
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Abstract

The invention provides a method for measuring the depth of parallelism of orienting pipes, comprising the following steps of: first, image acquisition: acquiring images of the end faces of orienting pipes by using a camera and storing the acquired end face images; second, image processing which comprises the steps of image type conversion, image filtering, image segmentation, image edge detection and image thinning, wherein the image filtering is Sigma filtering; the image edge detection comprises rough edge detection and fine edge detection; and in the image thinning, repeated iteration is carried out by using the least square method or the genetic algorithm to restore the end face images of the orienting pipes; and at last, image analysis, comprising the following steps of extraction of characteristic parameters of the images, parameter analysis and calculation and judgment of depth of parallelism. Compared with the prior art, the method for measuring the depth of parallelism of the orienting pipes provided by the invention has the advantages that the depth of parallelism of the orienting pipes is measured by the image technique, the measurement result accuracy is high and the measurement process is very convenient.

Description

The oriented tube parallelism measurement method
Technical field
The present invention relates to a kind of measuring technique of the depth of parallelism for parallel multiaxis part, relate in particular to a kind of parallelism measurement method for oriented tube.
Background technology
For macrotype axes series parts, oriented tube for example, conventional how much measurers are difficult to its depth of parallelism is measured.At present, the method for the multiaxis part measurement of paralleism mainly contained two large classes: take aim at target method and two transits method etc.Take aim at the target method mainly contain manually take aim at the target method and on this basis improved laser alignment take aim at the target method, these class methods need to place target plate at gun muzzle dead ahead position of meters away, by to the depth of parallelism between the measurement indirect calculation oriented tube of cross curve on the target plate or hot spot, the link of introducing error in the measuring process is more, so measuring accuracy is lower.Two transits method uses the circle center line connecting of the axle that is inserted in oriented tube two ends belt sensor as the axis of oriented tube, so the coaxiality error of the dimensional accuracy of oriented tube end, form accuracy and axle manufacturing and installation stochastic error all can affect the accuracy of measurement result.In addition, for above-mentioned two class methods, measure circulation for one and can only measure the axis parameter of an oriented tube, and measurement is long non-cutting time, the measuring process level of IT application and automatization level are low, need multi-person synergy to finish, and as a result acceptor's viewing rings very large.In recent years, along with the significantly lifting of the level of IT application of test, above measuring method obviously lags behind.
Therefore, necessaryly provide a kind of new parallelism measurement method to solve the problems referred to above.
Summary of the invention
Technical matters solved by the invention is to provide a kind of parallelism measurement method of oriented tube, and it is inaccurate that it can effectively improve the measuring accuracy that exists in the prior art, the problem of measuring process inconvenience.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of oriented tube parallelism measurement method comprises the steps:
At first, carry out image acquisition: the camera that is provided for gathering oriented tube end view drawing picture at the oriented tube two ends and carries out the image storage, and a pedal line is set in the field range of camera, one prover pipe is set in the end view drawing picture of described oriented tube and with the die of this prover pipe as true origin, with described pedal line as ordinate;
Then, carrying out image processes: to camera collection to the end view drawing at oriented tube two ends look like to carry out the processing of following steps: image type conversion, image filtering, image segmentation, Image Edge-Detection and image thinning, described image filtering adopts Sigma filtering, and described Image Edge-Detection comprises the smart detection of edge rough detection and edge; Described image thinning is for utilizing least square method or genetic algorithm to iterate to reduce oriented tube end view drawing picture;
At last, graphical analysis is carried out in the image border, comprise the steps: Characteristic of Image parameter extraction, parameter analytical calculation and depth of parallelism judgement.
Further, described characteristic parameter extraction comprises determines that every oriented tube is at the two dimensional surface coordinate of affiliated image, carry out image registration during described parameter analytical calculation and set up the three-dimensional system of coordinate benchmark, and then draw the numerical value of oriented tube two ends in described three-dimensional system of coordinate; Set up oriented tube locus model and draw oriented tube depth of parallelism data according to described numerical value when the described depth of parallelism is judged.
Further, the smart detection in described edge uses three average data factures to carry out, and accuracy of detection is brought up to sub-pixel.
Further, when carrying out image registration, the die in two width of cloth end view drawing pictures at oriented tube two ends is as reference point.
Compared with prior art, oriented tube parallelism measurement method of the present invention utilizes image technique to measure oriented tube, and its measurement result precision is high, and measuring process is very convenient.
[description of drawings]
Fig. 1 (A), (B) are respectively front view and the side view of oriented tube measurement of paralleism platform of the present invention.
Fig. 2 (A), (B) are the view at oriented tube two ends.
Fig. 3 is the process flow diagram of each step in the oriented tube parallelism measurement method of the present invention.
[embodiment]
The invention provides a kind of oriented tube parallelism measurement method, it utilizes a measuring table to carry out the measurement of the depth of parallelism, this measuring table provides an image capturing system and a graphics workstation, and utilize image capturing system to gather the image at oriented tube two ends, image is processed utilizing described graphics workstation, thereby measure the depth of parallelism of oriented tube, below be specifically described.
Parallelism measurement method of the present invention comprises the steps:
At first, carry out image acquisition: utilize camera that the oriented tube end face is carried out image acquisition, and the end view drawing that collects is looked like to store; Specifically, be at the oriented tube two ends camera to be set, be used for gathering the image of oriented tube two ends end face.
Then, carrying out image processes: comprise the steps: image type conversion, image filtering, image segmentation, Image Edge-Detection and image thinning, described image filtering adopts Sigma filtering, and described Image Edge-Detection comprises the smart detection of edge rough detection and edge; Described image thinning utilizes least square method or genetic algorithm to iterate to reduce oriented tube end view drawing picture.
At last, graphical analysis is carried out in the image border, comprising the steps: to extract image features, parameter analytical calculation and the depth of parallelism judges, described extraction characteristic parameter comprises determines that every oriented tube is at the two dimensional surface coordinate of affiliated image, carry out image registration during described parameter analytical calculation and set up the three-dimensional system of coordinate benchmark, and then draw the numerical value of oriented tube two ends in described three-dimensional system of coordinate; Set up oriented tube locus model and draw oriented tube depth of parallelism data according to described numerical value when the described depth of parallelism is judged.
See also shown in Figure 1, in the best mode for carrying out the invention, cooperate measuring method of the present invention, described measuring table 100 provided by the invention comprises that one is positioned at the worktable 10 of oriented tube 200 belows, the image-input device that is positioned at oriented tube 200 two ends, the image processing apparatus that is connected with described image-input device, pattern analysis device and human-computer interaction module.
Described worktable top also hangs a pedal line 30 that hangs with weight, and this pedal line lays respectively at the two ends of described oriented tube and is positioned at image-input device to the shooting field range of oriented tube end face, and pedal line 30 is perpendicular to worktable 10.Described oriented tube is placed horizontally at described worktable top, and with an oriented tube as prover pipe 201, with the die of this prover pipe 201 as true origin, and with described pedal line 30 as with reference to ordinate.Please cooperate consult shown in Figure 2, its be image-input device to the photographic images at oriented tube two ends, include described pedal line in the end view drawing picture at described oriented tube two ends.
Please cooperate consult shown in Figure 3, it is each process step of measuring method of the present invention, and wherein, described image-input device mainly is responsible for image acquisition and image memory function, it comprises a pair of camera 20 that is positioned at the vertical two ends of oriented tube, is used for taking and storing the end view drawing picture at oriented tube two ends.Described image processing apparatus is as the core, be responsible for the end face view data of described oriented tube is carried out calculation process, mainly comprise graph style conversion unit, image filtering unit, image segmentation unit, edge detection unit and image thinning unit in this image processing apparatus.Described pattern analysis device is responsible for the oriented tube end view drawing is looked like to carry out analytical calculation, and it comprises extraction unit, parameter analytical calculation unit and the depth of parallelism identifying unit of characteristic parameter.Described human-computer interaction module mainly is responsible for the function of communication and control, system calibrating.In addition, described graphics workstation adopts the modular designs scheme, each step of measuring method is decomposed layer by layer, each step can independently be carried out, the result that each step process obtains is all transmitted by unified data-interface and communication protocol, and the personnel of being convenient for measuring recognize and read and control.
Specifically, for RIO profile in the oriented tube end view drawing picture take level and smooth circular arc as main characteristics, described graphics workstation at first utilizes image processing module to carry out data and processes, it adopts keeping pixel smoothly to reach the Sigma filtering technique that sharpness of border has very good effect, with the mean value of adjacent pixels value calculating near actual value, recycling multiwindow Canny operator carries out the edge rough detection to image.Use on this basis three average data factures to carry out the smart detection in edge, accuracy of detection is brought up to sub-pixel.Then selected edge is iterated with least square method or genetic algorithm, at utmost reduce the ideal form of every positioning pipe end face, reduce centre of form error, make the precision of the aspects such as identification, location satisfy measurement of paralleism requirement.Then, utilize described image analysis module, behind the definite two dimensional surface coordinate of every oriented tube at affiliated image, the prover pipe centre of form in two width of cloth images is as reference point respectively, two ends image to prover pipe carries out image registration, make up the benchmark (please cooperate consult shown in Figure 2) of three-dimensional system of coordinate, and then conversion goes out the numerical value of the centre of form in three-dimensional system of coordinate at all oriented tube two ends, set up the locus model of whole group of oriented tube.
In sum, the carrier that parallelism measurement method of the present invention utilizes image measurement technology that image is transmitted as information, principle and digital image processing techniques according to vision are analyzed and researched to the image of oriented tube, needing to obtain the information of measurement, be successfully applied at present many modern industries field, also can be applicable to other field, for example:
The first, the geometric measurement of special shape part in can be used for equipping, this type of part is difficult for surveying and indeterminacy with conventional method;
The second, the geometric measurement of special substance part in can be used for equipping, the part of making such as resilient material, utmost point low-intensity material easily causes part deformation even damage during to this type of parts measurement with conventional method;
The 3rd, can be used for the geometric properties of microscopic species or tissue is measured, such as the analytic ferrographic method that adopts in the diagnosis of the Mechanical System Troubles such as engine, wheel box, hydraulic circuit, need to pattern and the geometric parameter of micron order abrasive particle be measured, conventional method is difficult to accomplish precisely.
In above-mentioned field, image measurement technology of the present invention can remedy the deficiency of general measuring method fully, accomplish convenient, precisely, non-cpntact measurement fast.
The above; it only is most preferred embodiment of the present invention; be not that the present invention is done any pro forma restriction; any those of ordinary skill in the art; do not breaking away from the technical solution of the present invention scope situation; utilize the method content of above-mentioned announcement that technical solution of the present invention is made many possible changes and modification, all belong to the scope of claims protection.

Claims (4)

1. an oriented tube parallelism measurement method comprises the steps:
At first, carry out image acquisition: the camera that is provided for gathering oriented tube end view drawing picture at the oriented tube two ends and carries out the image storage, and a pedal line is set in the field range of camera, one prover pipe is set in the end view drawing picture of described oriented tube and with the die of this prover pipe as true origin, with described pedal line as ordinate;
Then, carrying out image processes: to camera collection to the end view drawing at oriented tube two ends look like to carry out the processing of following steps: image type conversion, image filtering, image segmentation, Image Edge-Detection and image thinning, described image filtering adopts Sigma filtering, and described Image Edge-Detection comprises the smart detection of edge rough detection and edge; Described image thinning is for utilizing least square method or genetic algorithm to iterate to reduce oriented tube end view drawing picture;
At last, graphical analysis is carried out in the image border, comprise the steps: Characteristic of Image parameter extraction, parameter analytical calculation and depth of parallelism judgement.
2. oriented tube parallelism measurement method according to claim 1, it is characterized in that: described characteristic parameter extraction comprises determines that every oriented tube is at the two dimensional surface coordinate of affiliated image, described parameter analytical calculation is to carry out image registration and set up the three-dimensional system of coordinate benchmark, and then draws the numerical value of oriented tube two ends in described three-dimensional system of coordinate; It is according to the numerical value in the three-dimensional system of coordinate that obtains in the described parameter analytical calculation that the described depth of parallelism is judged, sets up the locus model of oriented tube and draws oriented tube depth of parallelism data.
3. oriented tube parallelism measurement method according to claim 2 is characterized in that: the smart detection in described edge uses three average data factures to carry out, and accuracy of detection is brought up to sub-pixel.
4. oriented tube parallelism measurement method according to claim 3 is characterized in that: when carrying out image registration, the die in two width of cloth end view drawing pictures at oriented tube two ends is as reference point.
CN2012104663090A 2012-11-19 2012-11-19 Method for measuring depth of parallelism of orienting pipes Pending CN102967277A (en)

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CN103615984A (en) * 2013-12-02 2014-03-05 四川中测流量科技有限公司 Comprehensive detection device of pipe body
CN104729432A (en) * 2015-03-19 2015-06-24 河海大学 Parallelism detecting method of dynamic shear rheometer device based on picture processing
CN114563942A (en) * 2022-01-28 2022-05-31 福建瑞达精工股份有限公司 Clock three-pointer parallelism measuring method, device and storage medium
CN117091539A (en) * 2022-05-11 2023-11-21 广州镭晨智能装备科技有限公司 Calibration method, calibration equipment and storage medium for AOI equipment track

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CN103615984A (en) * 2013-12-02 2014-03-05 四川中测流量科技有限公司 Comprehensive detection device of pipe body
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CN104729432A (en) * 2015-03-19 2015-06-24 河海大学 Parallelism detecting method of dynamic shear rheometer device based on picture processing
CN114563942A (en) * 2022-01-28 2022-05-31 福建瑞达精工股份有限公司 Clock three-pointer parallelism measuring method, device and storage medium
CN117091539A (en) * 2022-05-11 2023-11-21 广州镭晨智能装备科技有限公司 Calibration method, calibration equipment and storage medium for AOI equipment track

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Application publication date: 20130313