CN108247427A - Cutter image measurement method - Google Patents
Cutter image measurement method Download PDFInfo
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- CN108247427A CN108247427A CN201611238288.1A CN201611238288A CN108247427A CN 108247427 A CN108247427 A CN 108247427A CN 201611238288 A CN201611238288 A CN 201611238288A CN 108247427 A CN108247427 A CN 108247427A
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- image
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- cutting edge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/24—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves
- B23Q17/2452—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves for measuring features or for detecting a condition of machine parts, tools or workpieces
Abstract
A kind of cutter image measurement method, include preposition processing, image focusing, correction, it captures and handles, height-measuring and output result, cutter to be measured is placed on cutter image measuring device, adjust video capture device focusing cutter to be measured, with the pixel difference of cutter movement to be measured in pick-up image twice, with the mobile physical quantity of linear encoder record, convert an image identical element conversion coefficient, the cutting edge image of a cutter wherein blade to be measured is captured after correction through video capture device, image processing is carried out for pick-up image, pixel measures and conversion, cutting edge is obtained with respect to actual height, each knife height value that will be measured, it is sent to the relative deviation amount for the cutting edge height that other blades are compared and calculated in image measurement software, the cutter image measurement method of correction and accurate measurement can be facilitated by providing one.
Description
Technical field
The present invention relates to a kind of image measurement method, espespecially a kind of cutter image measurement that can facilitate correction and accurate measurement
Method.
Background technology
With science and technology make rapid progress and it is booming, the precise treatment and microminiaturization of product spare part promote machine-building
Industry extremely payes attention to machining accuracy;In process, for the cutter of existing toolroom machine can because workpiece material, purposes, plus
The factors such as work method, and the cutter of different geometries is used, in traditional mechanical processing mode, Milling Process is a kind of phase
When processing method that is common and frequently using, wherein milling cutter is a kind of circular knives with multi-blade, is carried out for workpiece
During Milling Process, each blade is intermittent milling workpiece material, belongs to a kind of discontinuous cutting, due to the thickness of chip
It is small, therefore chip removal is good and rapid heat dissipation, therefore higher rotation speed can be used to carry out Milling Process, and have smooth machined surface;Into one
Step, according to the cutter shaft form for being installed on milling machine, existing milling cutter capable of being is divided into cutter shaft type milling cutter, staight shank type milling cutter and face milling cutters etc. 3
Type, wherein face milling cutters are mainly used for the larger plane of milling workpiece, by the annular arrangement of each blade interval and by welding or
Sandwiched mode is on the tool apron of a steel.
Existing face milling cutters in milling process, due to blade installation cutting edge highly differ or blade abrasion after produced by
Cutting edge cusp it is irregular so that the position of cusp of a blade in the same plane, does not allow easily in Milling Processes
The surface of workpiece generates coarse non-uniform situation, in mass production, be only capable of by attrition process come improve its precision or
Replace workpiece re-work, relative reduction processing efficiency and increase generate defective products probability, and then increase processing needed for when
Between and cost;Further, though can be carried out at present by a kind of cutter measuring instrument for the cutting edge height of each blade of face milling cutters
Measure, but existing cutter measuring instrument must first go through when using a prod carry out adjustment of image, it is to be corrected after again
It changes prod into face milling cutters to be measured and carries out image measurement, however, such method for measurement is due to need to be to prod and to be measured
Cutter is installed and dismantled, and the installing angle of face milling cutters to be measured and position can due to the difference of operator difference, make
The stability that must be installed is bad and then influences the accuracy measured;Furthermore existing image measurement instrument is for face milling cutters to be measured
It is that height-measuring is carried out by way of manually, such measurement mode also can be due to people when each blade carries out height-measuring
Different, the accuracy for causing measurement is bad, is really improved part.
Invention content
The technical problems to be solved by the invention are to be carried for existing cutter method for measurement in using the shortcomings that upper and deficiency
For a kind of cutter image measurement method, only need cutter to be measured being placed in the cutter image measurement method when using, you can into
Row adjustment of image and measurement are not required to carry out the replacement of prod and cutter to be measured again, and correction and accurate can be facilitated by providing one whereby
The cutter image measurement method of measurement, effectively solves the problems, such as aforementioned.
To achieve these goals, the present invention provides a kind of cutter image measurement method, it includes have following operation
Step, wherein:
Preposition processing:Prepare the computer and a cutter to be measured of a cutter image measuring device, a tool image measurement software, it should
Cutter image measuring device be equipped with a platform group, a fine tuning group and a measurement group, the platform group be equipped with a pedestal, a railroad shoe and
One hilt seat, the fine tuning group are combined with the platform group and equipped with a fixed seat, a displacement slide unit and a micro actuator, the measurement groups
It is combined with the fine tuning group and is equipped with a video capture device, a linear encoder and a projector, and the tool image measurement software
Computer be mutually electrically connected with the measurement group, carry out subsequent image processing so as to the image that is captured for the measurement group;
Image focusing:The cutter to be measured is set on the hilt seat, by the start of the railroad shoe, makes the image capture
It focuses in the cutter to be measured the position of device;
Adjustment of image:The distance between the video capture device and the cutter to be measured are fixed, allows the video capture device with fixation
Multiplying power and focal length carry out image capture, and rotation micro actuator makes way for the video capture device on the displacement slide unit, as the displacement is slided
Platform and moved relative to the fixed seat so that the video capture device with respect to cutter to be measured movement, the displacement slide unit by this linearly
The displacement of encoder is recorded via image measurement software, video capture device pick-up image again, will pick-up image twice
In cutter to be measured movement pixel difference, record the physical quantity that the displacement slide unit moves with the image measurement software, convert
An image identical element conversion coefficient can be acquired;
Image capture and processing:After completing adjustment of image, a cutter wherein blade to be measured is captured by the video capture device
Cutting edge image, for pick-up image carry out cutting edge edge contour and background processing, so as to clearly appearing from the cutting edge of blade
Edge contour;
Height-measuring:After the blade image of acquisition carries out image processing, amount of pixels is carried out for the cutting edge peak of blade
It surveys and converts through the image unit conversion coefficient, to obtain actual height of the cutting edge from picture frame of the blade, pass through
Rotating the hilt seat allows the video capture device to measure each blade of the cutter to be measured;And
Export result:The height value of each blade that will be measured, is sent in the image measurement software of the computer, compares
Calculate the relative deviation amount of the cutting edge height of other blades, as subsequently carry out each knife height adjustment of the cutter to be measured according to
According to.
Further, the cutter image measurement method was calculating digital image mould in the operating procedure of image focusing
Index of the region area as image blur degree is pasted, cutter to be measured and the blurred portions in background are calculated, to treat
The average gray-scale value value of cutter image is surveyed plus a threshold values penalty coefficient, black threshold values, then being averaged with background video can be obtained
Grayscale value cuts a threshold values penalty coefficient, can obtain white threshold values, and passes through fuzzy judgement value equation and obtain an image focusing
Fuzziness, then by image focusing fuzziness obtain one normalization focusing fuzziness, with the normalization focus fuzziness whether be
Zero, as whether having obtained the focusing positions of optimal images.
Further, the cutter image measurement method in the operating procedure of image processing, is found out in Otsu methods and is faced
Dividing value, and binary conversion treatment is carried out for the cutting edge edge contour of blade by the critical value, so as to clearly appearing from the sword of blade
Mouth edge contour.
It is preferred that the cutter image measurement method, in the operating procedure of image processing, can further pass through intermediate value
Filtering removal image noise, to filter out the high frequency noise part of protrusion in image, and can keep the edge of image.
By above-mentioned technical characteristic, cutter image measurement method of the present invention, only being needed when using will be such as face milling cutters etc.
Cutter to be measured is set on the hilt seat, and sliding by the cross slide of the railroad shoe and longitudinal direction along the light source that the projector is sent out
The mode of the mobile adjustment of seat, allows the video capture device toward a wherein blade for the face milling cutters, and in defocused micro- by this
The moving recording of the displacement slide unit of tune group and the linear encoder of the measurement group, via the correction that image can be completed after conversion,
Therefore, cutter image measurement method of the invention is not required to carry out image as the prior art need to first pass through a prod when measuring
Correction again changes prod when the face milling cutters measured carry out image measurement, easily because of operator not into after to be corrected
The accuracy that the stability installed is bad and measures is influenced together;Therefore, cutter image measurement method of the present invention completes shadow
After correction, you can directly carry out image processing with measuring for the blade of face milling cutters, will not be influenced due to the difference of operator
Measurement, and then offer one can facilitate the cutter image measurement method of correction and accurate measurement.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Description of the drawings
Fig. 1 is the block flow diagram of cutter image measurement method of the present invention;
Fig. 2 is the stereoscopic figure of cutter image measuring device of the present invention;
Fig. 3 is another stereoscopic figure of cutter image measuring device of the present invention;
Fig. 4 is the outside side view of cutter image measuring device of the present invention;
Fig. 5 is the cross sectional side view of the utility model cutter image measuring device partial enlargement;
Fig. 6 is the square Organization Chart of cutter image measuring device of the present invention;
Fig. 7 is cutter image measuring device of the present invention measuring the operation chart of a cutter;
Fig. 8 is cutter image measuring device of the present invention measuring the partial enlargement operation chart of a cutter;
Fig. 9 is the blade image schematic diagram that cutter image measuring device of the present invention captures a cutter to be measured.
Specific embodiment
The structural principle and operation principle of the present invention are described in detail below in conjunction with the accompanying drawings:
Please refer to as shown in Figure 1, cutter image measurement method of the present invention includes following operating procedure, wherein:
A, preposition processing:Prepare the computer and a cutter to be measured of a cutter image measuring device, a tool image measurement software,
Please refer to as shown in Fig. 2 to 4 and 6, which is equipped with a platform group 10, a fine tuning group 20 and one measures
Group 30, wherein the platform group 10 are equipped with a pedestal 11, a railroad shoe 12 and a hilt seat 13, and the wherein pedestal 11 is laterally set for one
The rectangle pedestal put, it is preferable that the pedestal 11 is equipped with several adjustment stabilizer blades 111 in bottom surface, so as to the pedestal 11 is allowed to keep one
Horizontality, further, the pedestal 11 are respectively equipped with a lever 112 in opposite two short side sides, allow user can be by holding two
The mode of lever 112 is carried or is moved for the pedestal 11, which is set on the top surface of the pedestal 11 and is located at and be somebody's turn to do
The side of pedestal 11, the railroad shoe 12 are equipped with a transverse set and a longitudinal group, and it is horizontal which is equipped with a lateral rail bar 121 and one
To slide 122, wherein the transverse direction rail bar 121 is fixedly arranged on the top surface of the pedestal 11 and parallel with two relatively short sides of the pedestal 11
Setting, adjacent to a wherein short side side for the pedestal, which can slidably be set on should for one end of the transverse direction rail bar 122
On lateral rail bar 121, it is preferable that the cross slide 122 is equipped with leader 125 in a side, allows user that can pass through promotion
The mode of the handle 125 makes the cross slide 122 be slided with respect to the transverse direction rail bar 121, and further, the cross slide 122 is in one
Side is convexly equipped with an indicator board 126 downward, and wherein the pedestal 11 can be equipped with one and the 126 matched scale of indicator board in top surface
Ruler, and then the position of the graduated scale can be located at by the indicator board 126, and learn the cross slide 122 with respect to the transverse direction rail bar
The distance of 121 movements, it is preferable that the cross slide 122 is equipped with one in the side far from the indicator board 126 can relatively transverse cunning
The positioning turning handles 127 of 122 rotation of seat, one end of the positioning turning handle 127 through the cross slide 122 and with 121 phase of transverse direction rail bar
Against so as to the cross slide 122 is positioned on the transverse direction rail bar 121 without arbitrarily sliding.
The longitudinal direction group is combined with the transverse set and is equipped with a longitudinal longitudinal slide 124 of rail bar 123 and one, and wherein this is vertical
The top surface of the cross slide 122 is fixedly arranged on to rail bar 123, further, the longitudinal direction rail bar 123 is in the separate cross slide 122
Top end is equipped with a baffle 128, and the longitudinal direction slide 124 can slidably be set on the longitudinal direction rail bar 123 and laterally be slided positioned at this
At the top of seat 122, it is preferable that the longitudinal direction slide 124 is equipped with a rotation that can be leant with the longitudinal direction rail bar 123 in one side
Button 129 makes the longitudinal direction slide 124 can be located on the longitudinal direction rail bar 123 without arbitrarily sliding;The hilt seat 13, which is set, to be fixedly arranged on
The top surface of the pedestal 11 and the side for being arranged at intervals at the railroad shoe 12, the hilt seat 13 are used with for one cutter of clamping.
Please refer to as shown in Fig. 2,4 and 5, which is combined with the platform group 10 and equipped with a fixed seat
21st, a displacement slide unit 22 and a micro actuator 23, the fixed seat 21 and the mutually fixed combination of lateral surface of the longitudinal direction slide 124, this is solid
Reservation 21 is laterally convexly equipped with a bonding pad 211 in one side, and the displacement slide unit 22 can be movably combined with the fixed seat 21
And be located remotely from the another side of the longitudinal direction slide 124, further, the displacement slide unit 22 is in the inside towards the fixed seat 21
Face is equipped at least one elastic component 221 between the fixed seat 21 and the displacement slide unit 22, passes through an at least elastic component 221
Elastic pulling force, allow the displacement slide unit 22 that can be moved to initial position with respect to the fixed seat 21, the displacement slide unit 22 in one outside
Face is located at 211 lower section of bonding pad equipped with one and L-shaped pushing and pressing plate 222, it is preferable that the pushing and pressing plate 222 is convex in top surface
Positioning bead 223 equipped with a dome-type.
The micro actuator 23 is combined with the fixed seat 21 and leans with the displacement slide unit 22, it is preferable that the micro actuator
23 be a micrometer, which is equipped with an ontology 231, a rotary head 232 and a pushing and pressing bar 233, the sheet of the micro actuator 23
Body 231 and the 211 mutually fixed combination of bonding pad, and the rotary head 232 is in the top that can be rotatably arranged in the ontology 231, and be somebody's turn to do
Bar 233 is pushed against in the bottom for being telescopically set on the ontology 231, which stretches out the bonding pad 211 and pushed away with this downward
The positioning bead 223 of follow block 222 leans, and when 232 opposing body 231 of the rotary head rotates, the pushing and pressing bar 233 can be driven opposite
The ontology 231 moves, and then by way of pushing the pushing and pressing plate 222, and the displacement slide unit 22 is made to be moved relative to the fixed seat 21.
The measurement group 30 is combined with the fine tuning group 20 and is thrown equipped with a video capture device 31, a linear encoder 32 and one
Emitter 33, the video capture device 31 are fixedly arranged on the lateral surface of the displacement slide unit 22 and towards the directions of the hilt seat 13, this is linear
Encoder 32 is fixedly arranged on the displacement slide unit 22 and positioned at the side of the video capture device 31, which is to aobvious
Show displacement distance (millimeter, millimeter) of the displacement slide unit 22 with respect to the fixed seat 21, it is solid which is fixedly arranged on this
The lateral surface of reservation 21 and at the top of the video capture device 31, the projector 33 be towards the direction of the hilt seat 13,
It is preferred that the video capture device 31 is a complementary metal oxide semiconductor (Complementary Metal-Oxide-
Semiconductor;CMOS) video camera, which is an optical ruler, and the projector 33 is two pole of a line laser
Pipe transmitter, and the computer of the tool image measurement software is to be electrically connected with 30 phase of measurement group, so as to for the measurement group institute
The image captured carries out subsequent image processing.
B, image focusing:Please refer to as shown in Fig. 1 and 6 to 8, which is set to
On the hilt seat 13, the light source of the projector 33 is opened, this is pushed in the position of the face milling cutters 50 by the light source projects
The mode of hand 125 makes the cross slide 122 be moved relative to the transverse direction rail bar 121, and is somebody's turn to do by the way that the longitudinal direction slide 124 is opposite
The mode that longitudinal rail bar 123 moves makes the light source projects on a wherein blade 51 for the face milling cutters 50, and then the image is allowed to pick
Device 31 (fixed multiplying power and focal length) focusing is taken in a wherein blade 51 for the face milling cutters 50, wherein being obscured by calculating digital image
Index of the region area as image blur degree, calculates face milling cutters 50 and the blurred portions in background, first to treat
The average gray-scale value (fb) of cutter image is surveyed plus a threshold values penalty coefficient (c), black threshold values (Tb) can be obtained, then with background shadow
The average gray-scale value (fw) of picture cuts a threshold values penalty coefficient (c), can obtain white threshold values (Tw), wherein black threshold values (Tb) with
The equation difference of white threshold values (Tw) is as follows:
Aforesaid equation (1) and (2) are substituted into a fuzzy judgement value equation (3), by background (white area) with treating
The pixel value removal of cutter (black region) is surveyed, to extract image high frequency signal (fuzzy region), by its fuzzy judgement value
Totalling can obtain an image focusing fuzziness S (i), as shown in equation (4).
Wherein gh(x, y) is fuzzy judgement value, and f (x, y) is the pixel gray level value of image.
Wherein i is the position of video capture device 31.
Further, above-mentioned image focusing fuzziness S (i) is substituted into an equation (5), a normalization focusing can be obtained
Fuzziness (N (i) normalize).
Wherein when normalization focusing fuzziness is zero, the focusing position of optimal images is can obtain, that is, complete image
Focusing, can not only reduce the fixed generated error of flashing by above-mentioned focusing mode influences, and can obtain high-precision
Focusing image, and then the 51 cutting edge image of blade as shown in Figure 9 is obtained, at this point, as shown in Figure 3 by rotating the positioning turning handle
127 and the knob 129, the cross slide 122 is allowed to be respectively positioned in the transverse direction rail bar 121 and longitudinal direction rail with the longitudinal direction slide 124
On item 123, and then make way for video capture device 31 and the relative position of face milling cutters 50 on the longitudinal direction slide 124 and fix.
C, adjustment of image:It, can be by the size and camera lens of photosensitive element since video capture device 31 is in pick-up image
Enlargement ratio and influence, lead to image size and the size of actual object difference, wherein the radiographic measurement in computer vision
Identical element is pixel (pixel), therefore, carries out the pixel measured (pixel) identical element need to being converted into one during image measurement
As metric unit millimeter (mm), the present invention is with the relative displacement of displacement slide unit 22, as the foundation of image identical element conversion, in shadow
Before identical element conversion, the distance between the video capture device 31 and the face milling cutters 50 (such as maintaining 39.5 millimeters) are fixed, and
The multiplying power and focal length of stabilized image acquisition device 31 carry out image capture, are rotated further by the rotary head 232 of micro actuator 23, make the pushing and pressing bar
233 push the positioning bead 223 of the pushing and pressing plate 222, and then make way for the video capture device 31 on the displacement slide unit 22, with the position
The mode that slide unit 22 is moved relative to the fixed seat 21 is moved, the video capture device 31 is allowed to be moved relative to the blade 51 of the face milling cutters 50,
The physical quantity (millimeter) of the wherein displacement slide unit 22 movement can be recorded by the image measurement software, the video capture device 31
Pick-up image again, wherein assuming that the physical quantity that linear encoder 32 moves is 0.05 millimeter (mm) (d1-d2), via image amount
It is 7pixels to measure blade 51 to image edge, then it is 19pixels to go out blade 51 to image edge with second image measurement,
Two pixels subtract each other (y1-y2), and by equation (6), it is 0.0041mm/pixel that can acquire image identical element and be scaled number (e)
(i.e. 1pixel is equal to how many millimeter).
Wherein dspecimen is the actual size (mm) of linear encoder movement, and dimage is the amount for capturing blade image
Measurement ruler cun (pixel), you can adjustment of image is used as by the image unit conversion coefficient and is used.
D, image capture and processing:After adjustment of image is completed, can face milling cutters 50 be captured by the video capture device 31
A wherein blade 51 cutting edge image, and optimum value (critical value) is found out in Otsu methods, and pass through for the image of acquisition
The optimum value carries out binary conversion treatment for the cutting edge edge contour of blade 51, so as to clearly appearing from the cutting edge edge wheel of blade 51
Exterior feature, wherein gray-level characteristic of the Otsu methods according to image are divided into background and two clusters of target, wherein assuming that image gray scale has L
A variation, and the sum of each grayscale value is respectively n1, n2 ... ..., nL, total points of whole pixels are N, then each grayscale
Value i occur probability beThreshold values of the K between two clusters is wherein enabled, C1 represents the cluster of 1~k of grayscale, and C2 is represented
The cluster of grayscale k+1~L, w1 and w2 represent the probability that C1 and C2 occurs respectively, are respectively shown in equation (7) and (8).
Wherein u1 and u2 represents the average value of C1 and C2 respectively, respectively as shown in equation (9) and (10).
And variance and the variance sum total of each cluster are as shown in equation (11), (12) and (13).
In above-mentioned Otsu methods, when it is minimum that can find a k value to make variance sum total, the k values and be best
Critical value (T0), further, about the part of image binary conversion treatment, binary conversion treatment is also known as critical value processing, mainly
Determinand and background are done and are divided into Liang Ge grayscale group, to achieve the purpose that Image Segmentation, the present invention is previously mentioned using above-mentioned
Otsu methods acquire best critical value (k), and binaryzation is carried out on the basis of this critical value (k), if wherein pixel in image
The grayscale of point is set as 255, and be considered as profile information more than critical value, if the grayscale of pixel is less than or equal to critical value in image
Shi Ze is set as 0, and to reach determinand and background segment and highlight, binaryzation equation (14) is as follows.
It is all grayscale values, via there is small arrive it is preferred that can image noise further be removed by medium filtering
After big sequence, in-between grayscale value is taken, replaces pixel corresponding in current image, this method not only filters protrusion in image
High frequency noise part, and image edge can be kept, it is unlikely to filter the edge of image as low-pass filter, intermediate value filter
Shown in the mathematical notation of wave such as equation (15).
G (x, y)=median { f (x+m, y+n)-r≤m, n≤r, (r ∈ N) } (15)
E, height-measuring:After the blade image for acquisition carries out image processing, for the cutting edge peak of blade 51
It carries out pixel measurement and converts through the image unit conversion coefficient (e), so as to obtaining the cutting edge of the blade 51 from picture side
Frame actual height, then by way of rotating the hilt seat 13, the video capture device 31 is allowed sequentially for each of the face milling cutters 50
Blade 51 is measured.
F, result is exported:The height value of each blade 51 that will be measured, is sent in the image measurement software of the computer,
And using the frame above shooting picture as benchmark zero, the relative deviation of the cutting edge height of other blades 51 of contrast conting whereby
Amount, you can as the foundation for subsequently carrying out 50 each blade 51 of face milling cutters and highly adjusting.
By above-mentioned technical characteristic, cutter image measurement method of the present invention is only needed when using by such as face milling cutters 50 etc.
Cutter to be measured be set on the hilt seat 13, and pass through the cross slide of the railroad shoe 12 along the light source that the projector 33 is sent out
122 and the mode of longitudinal slide 124 movement adjustment, the video capture device 31 is allowed toward a wherein blade for the face milling cutters 50
51, and in the moving recording to the defocused displacement slide unit 22 by the fine tuning group 20 and the linear encoder 32 of the measurement group 30,
Via the correction that image can be completed after conversion, therefore, cutter image measurement method of the invention is not required to if the prior art is in amount
A prod need to be first passed through during survey and carries out adjustment of image, changing prod into face milling cutters to be measured again after to be corrected carries out
During image measurement, the accuracy that the stability installed is bad and measures easily is influenced due to the difference of operator;Therefore, this hair
Bright cutter image measurement method is after adjustment of image is completed, you can directly for the blade 51 of face milling cutters 50 carry out image processing with
It measures, will not influence to measure due to the difference of operator as a result, and then providing a cutter shadow that can facilitate correction and accurate measurement
As method for measurement.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and deformation, but these corresponding changes and change in accordance with the present invention
Shape should all belong to the protection domain of appended claims of the invention.
Claims (7)
- A kind of 1. cutter image measurement method, which is characterized in that include following operating procedure:Preposition processing:Prepare the computer and a cutter to be measured of a cutter image measuring device, a tool image measurement software, the cutter Image measuring device is equipped with a platform group, a fine tuning group and a measurement group, which is equipped with a pedestal, a railroad shoe and a knife Seat, which is combined with the platform group and equipped with a fixed seat, a displacement slide unit and a micro actuator, the measurement group is with being somebody's turn to do Fine tuning group is combined and is equipped with a video capture device, a linear encoder and a projector, and the electricity of the tool image measurement software Brain is mutually electrically connected with the measurement group, and subsequent image processing is carried out so as to the image captured for the measurement group;Image focusing:The cutter to be measured is set on the hilt seat, by the start of the railroad shoe, makes the video capture device Position is focused in the cutter to be measured;Adjustment of image:The distance between the video capture device and the cutter to be measured are fixed, allows the video capture device with fixed multiplying power And focal length carries out image capture, rotation micro actuator makes way for the video capture device on the displacement slide unit, with the displacement slide unit It is moved relative to the fixed seat so that the video capture device is moved relative to the cutter to be measured, and it is linear which is moved through this The displacement of encoder is recorded via image measurement software, video capture device pick-up image again, will pick-up image twice In cutter to be measured movement pixel difference, record the physical quantity that the displacement slide unit moves with the image measurement software, convert Acquire an image identical element conversion coefficient;Image capture and processing:After completing adjustment of image, the sword of a cutter wherein blade to be measured is captured by the video capture device Mouth image carries out pick-up image the edge contour of cutting edge and the processing of background, so as to clearly appearing from the cutting edge edge of blade Profile;Height-measuring:After the blade image of acquisition carries out image processing, pixel is carried out for the cutting edge peak of blade and is measured simultaneously It converts through the image unit conversion coefficient, to obtain actual height of the cutting edge from picture frame of the blade, passes through rotation The hilt seat allows the video capture device to measure each blade of the cutter to be measured;AndExport result:The height value of each blade that will be measured, is sent in the image measurement software of the computer, contrast conting The relative deviation amount of the cutting edge height of other blades, as the foundation for subsequently carrying out each knife height adjustment of cutter to be measured.
- 2. cutter image measurement method as described in claim 1, which is characterized in that in the operating procedure of image focusing, lead to The index for calculating digital image fuzzy region area as image blur degree is crossed, for the blurred portions in cutter to be measured and background It is calculated, with the average gray-scale value of cutter image to be measured plus a threshold values penalty coefficient, black threshold values can be obtained, then with the back of the body The average gray-scale value of scape image cuts a threshold values penalty coefficient, can obtain white threshold values, and passes through fuzzy judgement value equation and take An image focusing fuzziness is obtained, then a normalization focusing fuzziness is obtained by image focusing fuzziness, is focused with the normalization Whether fuzziness is zero, as whether having obtained the focusing positions of optimal images.
- 3. cutter image measurement method as claimed in claim 2, which is characterized in that in the operating procedure of image processing, with Otsu methods find out critical value, and carry out binary conversion treatment for the cutting edge edge contour of blade by the critical value, so as to clear The cutting edge edge contour of Chu Chengxian blades.
- 4. cutter image measurement method as claimed in claim 3, which is characterized in that in the operating procedure of image processing, energy Image noise is further removed by medium filtering, to filter out the high frequency noise part of protrusion in image, and image can be kept Edge.
- 5. cutter image measurement method as described in claim 1, which is characterized in that in the operating procedure of image processing, with Otsu methods find out critical value, and carry out binary conversion treatment for the cutting edge edge contour of blade by the critical value, so as to clear The cutting edge edge contour of Chu Chengxian blades.
- 6. cutter image measurement method as claimed in claim 5, which is characterized in that in the operating procedure of image processing, energy Image noise is further removed by medium filtering, to filter out the high frequency noise part of protrusion in image, and image can be kept Edge.
- 7. cutter image measurement method as described in claim 1, which is characterized in that in the operating procedure of image processing, energy Image noise is further removed by medium filtering, to filter out the high frequency noise part of protrusion in image, and image can be kept Edge.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN203385392U (en) * | 2013-07-11 | 2014-01-08 | 源台精密科技股份有限公司 | Image measuring device |
CN105081883A (en) * | 2015-08-19 | 2015-11-25 | 浙江柏同机器人科技股份有限公司 | Machining center provided with on-machine detection device and using method of machining center |
CN205748264U (en) * | 2016-02-22 | 2016-11-30 | 东莞市嘉腾仪器仪表有限公司 | Radiographic measurement cutter arrangement |
CN205765272U (en) * | 2016-05-25 | 2016-12-07 | 发得科技工业股份有限公司 | There is the processing unit (plant) that vision measures |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN203385392U (en) * | 2013-07-11 | 2014-01-08 | 源台精密科技股份有限公司 | Image measuring device |
CN105081883A (en) * | 2015-08-19 | 2015-11-25 | 浙江柏同机器人科技股份有限公司 | Machining center provided with on-machine detection device and using method of machining center |
CN205748264U (en) * | 2016-02-22 | 2016-11-30 | 东莞市嘉腾仪器仪表有限公司 | Radiographic measurement cutter arrangement |
CN205765272U (en) * | 2016-05-25 | 2016-12-07 | 发得科技工业股份有限公司 | There is the processing unit (plant) that vision measures |
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