CN105666246B - Cutter parameter measuring device and its measuring method based on CCD - Google Patents
Cutter parameter measuring device and its measuring method based on CCD Download PDFInfo
- Publication number
- CN105666246B CN105666246B CN201610224684.2A CN201610224684A CN105666246B CN 105666246 B CN105666246 B CN 105666246B CN 201610224684 A CN201610224684 A CN 201610224684A CN 105666246 B CN105666246 B CN 105666246B
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- image
- cutter
- mtd
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
-
- 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
- B23Q17/2457—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 of tools
-
- 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
- B23Q17/248—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves using special electromagnetic means or methods
- B23Q17/249—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves using special electromagnetic means or methods using image analysis, e.g. for radar, infrared or array camera images
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Electromagnetism (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
A kind of cutter parameter measuring device and its measuring method based on CCD, including vasculum, CCD industrial cameras, industrial computer and display, CCD industrial cameras, industrial computer and display are sequentially connected；Camera transverse moving mechanism is provided with the base of vasculum, camera longitudinal moving mechanism is provided with camera transverse moving mechanism, CCD industrial cameras are arranged on camera longitudinal moving mechanism.During measurement, machine tool chief axis does not rotate, static state collection；Main shaft often rotates image of an angle acquisition, completes the collection of tool circumferential pattern and is stored in specified location；Then data processing is carried out to the gray level image of collection.The present invention saves dismounting cutter, improves precision and efficiency using cutter parameters are directly surveyed on lathe, and the digital picture based on CCD carries out non-cpntact measurement, carries out static measurement cutter parameters, compared to the camera for needing to focus on automatically under rotation, reduces cost；Measurable cutter hangs the parameters such as length, radius, fillet, form and position tolerance.
Description
Technical field
The present invention relates to the geometry such as a kind of outstanding length for obtaining cutter directly accurate on lathe, radius, fillet, form and position tolerance
The measurement apparatus and its measuring method of parameter, belong to tool geometrical parameter field of measuring technique.
Background technology
Cutter is used for the professional tool of processing precise part as Digit Control Machine Tool, and the height of its own precision directly decides
The precision of its precision component processed.Current cutting tools measurement method has a certain limitation, and first, manual measurement cutter parameters are not
Processed suitable for the high numerical control machining center of batch production, automaticity at present.Manual detection efficiency is low, precision is low；Cutter
Surface and the feature request precision processed are high, and surface smoothness requirements are also high, and conventional method is needed survey tool and cutter
Surface contacts, and certain damage is had to tool characteristics surface, so as to influence cutter itself precision；Second, the measurement proposed at present
Device is not suitable for actual production operating mode.The measurement apparatus proposed at present is that cutter is directly placed under industrial camera mostly.
To ensure that axis system can be operated safely and reliably, main shaft-handle of a knife-cutter faying face needs have high geometric accuracy, height
The characteristics such as precision and high rigidity that are loaded are repeated, faying face has important influence to high-speed spindle system dynamics；And
In view of factory's actual production operating mode, cutter is stored in tool magazine, and main shaft-cutter-handle of a knife faying face has positioned, according to what is had pointed out
Measurement scheme unloads knife, it is necessary to which cutter is first from tool magazine, is then unloaded again from handle of a knife, and installation every time will reposition twice, efficiency
Reduce, and the precision to obtaining cutter parameters has a direct impact.
The content of the invention
The present invention is for deficiency existing for existing cutting tools measurement technology, there is provided a kind of measurement accuracy is high, efficiency high based on
CCD cutter parameter measuring device.
The cutter parameter measuring device based on CCD of the present invention, using following technical scheme：
The device, including vasculum, CCD industrial cameras, industrial computer and display, CCD industrial cameras, industrial computer and display
Device is sequentially connected；Camera transverse moving mechanism is provided with the base of vasculum, camera is provided with camera transverse moving mechanism
Longitudinal moving mechanism, CCD industrial cameras are arranged on camera longitudinal moving mechanism.
LED light source board is additionally provided with the vasculum, LED light source board is used to illuminate light filling, gathers CCD industrial cameras
Digital picture background and limit of the objective it is obvious, be easy to image procossing.
The vasculum is to set casing to form on base, and casing includes all around four side chamber doors and a top case
Door.
The camera transverse moving mechanism, including cross slide way, transverse slider and transverse slider travel mechanism, transverse slider
Travel mechanism is arranged on cross slide way with transverse slider, and transverse slider is connected with transverse slider travel mechanism.Cross slide way
On be provided with the horizontal lock-screw of locking transverse slider position.Transverse slider travel mechanism uses screw pair, laterally leads
The horizontal scale for observing transverse slider position is additionally provided with rail.
The camera longitudinal moving mechanism, including longitudinal rail, longitudinal sliding block and longitudinal sliding block travel mechanism, longitudinal rail
It is arranged on transverse slider, longitudinal sliding block and longitudinal sliding block travel mechanism are arranged on longitudinal rail, longitudinal sliding block and longitudinal direction
Sliding block travel mechanism connects.Longitudinal sliding block travel mechanism also uses screw pair.It is sliding that locking longitudinal direction is provided with longitudinal rail
Longitudinal lock-screw of block position, longitudinal scale for observing longitudinal sliding block position is additionally provided with longitudinal rail.
The measuring method of the above-mentioned cutter parameter measuring device based on CCD, comprises the following steps：
(1) whole device is arranged on platen, whole device is opened with lathe X axis and Y-motion
The fix a cutting tool chamber door of vasculum of face of machine tool chief axis (for vertical machine, opens the upper chamber door of vasculum；For horizontal machine
Bed, open the preceding chamber door of vasculum)；
(2) switch on power, CCD camera is connected with industrial computer and display, open LED light source board switch；
(3) Digit Control Machine Tool is adjusted, lifts cutter, lathe X-axis workbench and lathe Y-axis slide carriage is then adjusted, makes entirely to fill
Put below operation to cutter, complete coarse adjustment；Digit Control Machine Tool is adjusted, declines cutter, the complete of surveyed cutter is shown on display
Whole image；
(4) CCD industrial cameras is moved up and down by camera longitudinal moving mechanism, made by camera transverse moving mechanism
CCD industrial cameras move forward and backward, and make to show the complete clearly image of cutter on display, complete accurate adjustment；
(5) image is gathered after adjusting, in gatherer process, machine tool chief axis does not rotate, static state collection；Main shaft often rotates one
Determine image of angle acquisition, complete the collection of tool circumferential pattern and be stored in industrial computer；
(6) industrial computer carries out data processing to the gray level image of collection.
Industrial computer is to the process of the gray level image progress data processing of collection in the step (6)：
1. gray level image first to be carried out to inter-class variance in maximum kind than method image to split, coarse extraction is carried out to edge；
Inter-class variance compares method in maximum kind：Remember the segmentation threshold that t is prospect and background, prospect points account for image scaled and are
w0, average gray u0；It is w that background points, which account for image scaled,1, average gray u1.Then the overall average gray scale of image is：
U=w0*u0+w1*u1,
The variance of foreground and background image：
σ2=w0*(u0-u)2+w1*(u1-u)2=w0*w1*(u0-u1)2,
Try to achieve σ2Maximum, obtain threshold value；
2. gaussian filtering, two-dimensional Gaussian functionWith gray level image carry out convolution, F (x,
Y)=G (x, y) * f (x, y), to eliminate noise, what wherein σ was represented is the parameter of Gaussian filter, and its value size determines wave filter
Smoothness；F (x, y) is the gray value that (x, y) is put in image, and F (x, y) is gray value of the image after gaussian filtering；
3. carrying out non-maxima suppression in the gradient direction of canny operators, wherein canny convolution operators are：
4. maximum entropy method (MEM) canny operator edge detections, carry out essence extraction image border；If the size of gray level image be M ×
N, grey scale change scope are G={ 0,1 ..., L-1 }, take the threshold value t of Threshold segmentation, two-dimensional histogram is divided into T, B two
Region, then the probability distribution in two regions be respectively：
Wherein probability distribution T probability is：
Then the entropy of two probability distribution is：
Defined functionFor H (T) and H (B) sum, then：
Arg expressions pairNegate function；
5. hough change detections hang length and radius；
P=x*cos (θ)+y*sin (θ),
Wherein θ is that space line crosses the vertical line of origin and the angle of x-axis positive direction, and p is distance of the origin to z, and parameter is empty
Between be just changed into p- θ spaces, Plane-point (x, y) is corresponded on p- θ plane curves；It is outstanding length to measure height, and length is as straight
Footpath；
6. make { (xi, yi) i=1,2,3 ..., n be point in image on circumference to be determined set, and (x, y) is set
In a bit, the equation in parameter coordinate system (a, b, R) is：
(x-a)2+(y-b)2=R2,
Justified using hough change detections and obtain fillet size, and be fitted fillet with least square method；
7. the shape appearance figure in the tool circumferential direction of collection is compared with theoretical tool image, then relative dimensions are obtained
Actual tolerance value.
The present invention saves dismounting cutter using cutter parameters are directly surveyed on lathe, improves precision and efficiency, saves people
Power material resources；Digital picture based on CCD carries out non-cpntact measurement, is more suitable for modern automation processing, liberates manpower；Carry out static
Cutter parameters are measured, compared to the camera for needing to focus on automatically under rotation, reduce cost；The outstanding length of the measurable cutter of this covering device, half
The parameters such as footpath, fillet, form and position tolerance, using with popularity.
Brief description of the drawings
Fig. 1 is the internal structure schematic diagram of the cutter parameter measuring device based on CCD of the present invention.
Fig. 2 is that the cutter parameter measuring device based on CCD of the present invention is arranged on the schematic diagram on lathe.
In figure：1. casing, 2. horizontal lock-screws, 3. longitudinal leadscrew adjusting knobs, 4. longitudinal rails, 5. longitudinal sliding blocks,
6. horizontal leading screw adjusting knob, 7.CCD industrial cameras, 8.LED light source boards, 9. transverse sliders, 10. longitudinal scales, 11. laterally lead
Rail, 12. longitudinal lock-screws, 13. horizontal scales, 14. bases, 15. cutters, 16. lathe X-axis workbench, 17. lathe Y-axis are slipped
Plate, 18. vasculums.
Embodiment
As shown in figure 1, the cutter parameter measuring device based on CCD of the present invention, including vasculum 18, CCD industrial cameras
7th, industrial computer (not shown) and display (not shown), CCD industrial cameras 7, industrial computer and display are sequentially connected.
Vasculum 18 is to set casing 1 to form on its base 14, and casing 1 includes all around four side chamber doors and a top case door
(top case door and a side chamber door are saved in Fig. 1), each chamber door is all movable, can be opened.Set on the base 14 of vasculum 18
There is camera transverse moving mechanism, camera longitudinal moving mechanism is provided with camera transverse moving mechanism, CCD industrial cameras 7 are installed
On camera longitudinal moving mechanism.LED light source board 8 is additionally provided with vasculum 18, LED light source board 8 is used to illuminate light filling, made
The digital picture background and limit of the objective that CCD industrial cameras 7 gather are obvious, are easy to image procossing.
Camera transverse moving mechanism, including cross slide way 11, transverse slider 9 and transverse slider travel mechanism.Transverse slider 9
It is arranged at transverse slider travel mechanism on cross slide way 11, transverse slider 9 is connected with transverse slider travel mechanism, laterally sliding
Block travel mechanism uses screw pair, and horizontal leading screw is threadedly coupled with transverse slider 9, and one end of horizontal leading screw is provided with transverse direction
Leading screw adjusting knob 6, to facilitate rotation horizontal leading screw.The horizontal lock of locking transverse slider 9 position is provided with cross slide way 11
Tight screw 2.The horizontal scale 13 for observing the position of transverse slider 9 is additionally provided with cross slide way 11.
Camera longitudinal moving mechanism includes longitudinal rail 4, longitudinal sliding block 5 and longitudinal sliding block travel mechanism, and longitudinal rail 4 is set
Put on transverse slider 9, longitudinal sliding block 5 and longitudinal sliding block travel mechanism are arranged on longitudinal rail 4, and longitudinal sliding block 5 is with indulging
Connected to sliding block travel mechanism.Longitudinal sliding block travel mechanism also uses screw pair, and longitudinal leadscrew connects with the screw thread of longitudinal sliding block 5
Connect, the upper end of longitudinal leadscrew is provided with longitudinal leadscrew adjusting knob 3, to facilitate rotation longitudinal leadscrew.It is provided with longitudinal rail 4
Longitudinal lock-screw 12 of the position of longitudinal sliding block 5 is locked, is additionally provided with longitudinal rail 4 for observing the position of longitudinal sliding block 5
Longitudinal scale 10.
CCD industrial cameras 7 are fixed on longitudinal sliding block 5.Compared with travel mechanism's Universal arm, CCD industrial cameras 7 are using firm
The more preferable guide rail type movable mechanism of property.CCD industrial cameras 7 can move forward and backward on cross slide way 11, and can be along longitudinal rail 4
Lower motion, shift position are observed by the scale on cross slide way 11 and longitudinal rail 4, to be referred to for regulation next time.
As shown in Fig. 2 vasculum 18 is arranged on lathe, for vertical machine, the cross slide way 11 in vasculum 18
Direction it is consistent with the direction of lathe Y-axis guide rail.According to specific actual conditions, the position of vasculum 18 can be rationally placed.Consider
To the mobility of machine tool chief axis, select vasculum 18 can be with lathe X axis and Y-motion, machine tool chief axis is by lathe itself
Programme-control keeps Z axis to move up and down and rotate.When measuring cutter parameters, for vertical machine, the top box of opening vasculum 18
Door；For horizontal machine tool, the preceding chamber door of opening vasculum 18.Details are provided below for cutter parameter measuring：
1. switching on power, CCD camera 7 is connected with industrial computer and display, LED light source board 8 is opened and switchs, be illuminated
Light filling, make the digital image objects edge that CCD camera 7 gathers be more easy to detect, be easy to image preprocessing.
2. adjusting Digit Control Machine Tool, cutter 15 is lifted, lathe X-axis workbench 16 and lathe Y-axis slide carriage 17 is then adjusted, makes to adopt
Header 18 is run to the lower section correct position of cutter 15, completes coarse adjustment；Digit Control Machine Tool is adjusted, cutter 15 is dropped to correct position,
Display is set to show the complete image at the position of institute's survey cutter 15；
CCD industrial cameras 7 is moved up and down 3. rotating longitudinal leadscrew adjusting knob 3, screw longitudinal lock-screw 12 and lock
The position of longitudinal rail 4；Rotating horizontal leading screw adjusting knob 6 moves forward and backward CCD industrial cameras 7, and it is solid to screw horizontal lock-screw 2
Determine cross slide way 11, make to show the complete clearly image of cutter 15, complete accurate adjustment；
4. gathering image after regulation, in gatherer process, machine tool chief axis does not rotate, static state collection；Main shaft often rotates one
Individual image of angle acquisition, complete the collection of tool circumferential pattern and be stored in specified location；
5. the gray level image of pair collection carries out data processing：
1. gray level image first to be carried out to inter-class variance in maximum kind than method image to split, coarse extraction is carried out to edge；
Inter-class variance compares method in maximum kind：Remember the segmentation threshold that t is prospect and background, prospect points account for image scaled and are
w0, average gray u0；It is w that background points, which account for image scaled,1, average gray u1.Then the overall average gray scale of image is：
U=w0*u0+w1*u1,
The variance of foreground and background image：
σ2=w0*(u0-u)2+w1*(u1-u)2=w0*w1*(u0-u1)2,
Try to achieve σ2Maximum i.e. can obtain threshold value.
2. gaussian filtering, two-dimensional Gaussian functionWith gray level image carry out convolution, F (x, y)=
G (x, y) * f (x, y), to eliminate noise, what wherein σ was represented is the parameter of Gaussian filter, and its value size determines the flat of wave filter
Slippage degree；F (x, y) is the gray value that (x, y) is put in image, and F (x, y) is gray value of the image after gaussian filtering.
3. carrying out non-maxima suppression in the gradient direction of canny operators, wherein canny convolution operators are：
4. maximum entropy method (MEM) canny operator edge detections, carry out essence extraction image border；If the size of gray level image be M ×
N, grey scale change scope are G={ 0,1 ..., L-1 }, take the threshold value t of Threshold segmentation, two-dimensional histogram is divided into T, B two
Region, then the probability distribution in two regions be respectively：
Wherein probability distribution T probability is
Then the entropy of two probability distribution is：
Defined functionFor H (T) and H (B) sum, then：
Arg expressions pairNegate function.
5. hough change detections hang length and radius；
P=x*cos (θ)+y*sin (θ),
Wherein θ is that space line crosses the vertical line of origin and the angle of x-axis positive direction, and p is distance of the origin to z, and parameter is empty
Between be just changed into p- θ spaces, Plane-point (x, y) is corresponded on p- θ plane curves；It is outstanding length to measure height, and length is as straight
Footpath.
6. make { (xi, yi) i=1,2,3 ..., n be point in image on circumference to be determined set, and (x, y) is set
In a bit, the equation in parameter coordinate system (a, b, R) is：
(x-a)2+(y-b)2=R2,
Justified using hough change detections and obtain fillet size, and be fitted fillet with least square method.
7. the shape appearance figure in the tool circumferential direction of collection is compared with theoretical tool image, then relative dimensions are can obtain
Actual tolerance value.
The present invention uses non-contact measurement mode, by the optical system being made up of CCD camera, camera lens etc., not with
In the case that cutter measured surface contacts, the quick shape characteristic image shot on the diverse location of tool circumferential surface is captured
Image is communicated in real time to industrial computer, then by machine vision and image processing techniques, so as to obtain the outstanding length of measured cutter,
The geometric parameters such as radius, fillet, form and position tolerance, intelligent testing knife is realized, is used manpower and material resources sparingly, improves processing efficiency.It is whole to survey
Amount process is automatically performed according to process of measurement, simple in construction without manual intervention, easy to operate, easy grasp.
Claims (1)
1. a kind of measuring method of the cutter parameter measuring device based on CCD, the cutter parameter measuring device based on CCD,
Including vasculum, CCD industrial cameras, industrial computer and display, it is characterized in that：CCD industrial cameras, industrial computer and display are successively
Connection；Camera transverse moving mechanism is provided with the base of vasculum, camera is provided with camera transverse moving mechanism and is longitudinally moved
Motivation structure, CCD industrial cameras are arranged on camera longitudinal moving mechanism；It is characterized in that comprise the following steps：
(1) whole device is arranged on platen, whole device is opened lathe with lathe X axis and Y-motion
Main shaft fix a cutting tool face vasculum chamber door；
(2) switch on power, CCD industrial cameras are connected with industrial computer and display, open LED light source board switch；
(3) Digit Control Machine Tool is adjusted, lifts cutter, lathe X-axis workbench and lathe Y-axis slide carriage is then adjusted, transports whole device
Below row to cutter, coarse adjustment is completed；Digit Control Machine Tool is adjusted, declines cutter, the complete graph of surveyed cutter is shown on display
Picture；
(4) CCD industrial cameras is moved up and down by camera longitudinal moving mechanism, CCD works are made by camera transverse moving mechanism
Industry camera moves forward and backward, and makes to show the complete clearly image of cutter on display, completes accurate adjustment；
(5) image is gathered after adjusting, in gatherer process, machine tool chief axis does not rotate, static state collection；Main shaft often rotates certain angle
A degree image of collection, completes the collection of tool circumferential pattern and is stored in industrial computer；
(6) industrial computer carries out data processing to the gray level image of collection；
Industrial computer is to the process of the gray level image progress data processing of collection in the step (6)：
1. gray level image is first carried out in maximum kind, inter-class variance than method image split, to edge carry out coarse extraction；
Maximum kind is interior, inter-class variance compares method：Remember the segmentation threshold that t is prospect and background, it is w that prospect points, which account for image scaled,0, put down
Equal gray scale is u0；It is w that background points, which account for image scaled,1, average gray u1, then the overall average gray scale of image be：
U=w0*u0+w1*u1,
The variance of foreground and background image：
σ2=w0*(u0-u)2+w1*(u1-u)2=w0*w1*(u0-u1)2,
Try to achieve σ2Maximum, obtain threshold value；
2. gaussian filtering, two-dimensional Gaussian functionConvolution is carried out with gray level image function f (x, y),
F (x, y)=G (x, y) * f (x, y), to eliminate noise, what wherein σ was represented is the parameter of Gaussian filter, and its value size determines filter
The smoothness of ripple device；F (x, y) is the gray value that (x, y) is put in image, and F (x, y) is that (x, y) is put through gaussian filtering in image
Gray value afterwards；
3. carrying out non-maxima suppression in the gradient direction of canny operators, wherein canny convolution operators are：
<mrow>
<msub>
<mi>s</mi>
<mrow>
<mi>x</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
</msub>
<mo>,</mo>
<msub>
<mi>s</mi>
<mrow>
<mi>y</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
</msub>
<mo>,</mo>
</mrow>
4. maximum entropy method (MEM) canny operator edge detections, carry out essence extraction image border；If the size of gray level image is M × N, ash
Degree excursion is G={ 0,1 ..., L-1 }, takes the threshold value t of Threshold segmentation, two-dimensional histogram is divided into two regions of T, B,
Then the probability distribution in two regions is respectively：
<mrow>
<mi>T</mi>
<mo>:</mo>
<mfrac>
<msub>
<mi>P</mi>
<mn>0</mn>
</msub>
<msub>
<mi>P</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mfrac>
<msub>
<mi>P</mi>
<mi>t</mi>
</msub>
<msub>
<mi>P</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>,</mo>
</mrow>
<mrow>
<mi>B</mi>
<mo>:</mo>
<mfrac>
<msub>
<mi>P</mi>
<mrow>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>T</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mfrac>
<msub>
<mi>P</mi>
<mrow>
<mi>L</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>P</mi>
<mi>T</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
</mrow>
Wherein probability distribution T probability is：
Then the entropy of two probability distribution is：
<mrow>
<mi>H</mi>
<mrow>
<mo>(</mo>
<mi>T</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mo>-</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mi>t</mi>
</msubsup>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mi>n</mi>
</msub>
<msub>
<mi>lnP</mi>
<mi>i</mi>
</msub>
<msub>
<mi>P</mi>
<mi>n</mi>
</msub>
<mo>,</mo>
</mrow>
<mrow>
<mi>H</mi>
<mrow>
<mo>(</mo>
<mi>B</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mo>-</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mi>t</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>L</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>n</mi>
<mo>)</mo>
</mrow>
</msub>
<msub>
<mi>lnP</mi>
<mi>i</mi>
</msub>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>n</mi>
<mo>)</mo>
</mrow>
</msub>
<mo>,</mo>
</mrow>
Defined functionFor H (T) and H (B) sum, then：
Arg expressions pairNegate function；
5. hough change detections hang length and radius；
P=x*cos (θ)+y*sin (θ),
Wherein θ is that space line crosses the vertical line of origin and the angle of x-axis positive direction, p be origin to z distance, parameter space is just
It is changed into p- θ spaces, Plane-point (x, y) is corresponded on p- θ plane curves；It is outstanding length to measure height, and length is diameter；
6. make { (xi, yi) | i=1,2,3 ..., n } be point in image on circumference to be determined set, and (x, y) is in set
A bit, the equation in parameter coordinate system (a, b, R) is：
(x-a)2+(y-b)2=R2,
Justified using hough change detections and obtain fillet size, and be fitted fillet with least square method；
7. the shape appearance figure in the tool circumferential direction of collection is compared with theoretical tool image, then the reality of relative dimensions is obtained
Tolerance value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610224684.2A CN105666246B (en) | 2016-04-12 | 2016-04-12 | Cutter parameter measuring device and its measuring method based on CCD |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610224684.2A CN105666246B (en) | 2016-04-12 | 2016-04-12 | Cutter parameter measuring device and its measuring method based on CCD |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105666246A CN105666246A (en) | 2016-06-15 |
| CN105666246B true CN105666246B (en) | 2017-11-10 |
Family
ID=56310227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610224684.2A Active CN105666246B (en) | 2016-04-12 | 2016-04-12 | Cutter parameter measuring device and its measuring method based on CCD |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105666246B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106584211A (en) * | 2016-12-15 | 2017-04-26 | 上海电气核电设备有限公司 | On-line CCD push-scanning measurement system and measurement method thereof |
| CN107717509B (en) * | 2017-11-10 | 2019-04-09 | 西京学院 | A kind of milling fixture for vision-based detection |
| CN108296880B (en) * | 2018-03-22 | 2023-07-21 | 山东大学 | CCD-based online detection device and detection method for tool grinding damage |
| WO2020090844A1 (en) * | 2018-10-30 | 2020-05-07 | 東芝機械株式会社 | Tool shape measurement device and tool shape measurement method |
| CN112683193B (en) * | 2020-11-06 | 2022-04-22 | 西安交通大学 | Cutter type distinguishing and geometric parameter detecting method and system based on machine vision |
| CN112975577A (en) * | 2021-04-12 | 2021-06-18 | 山东大学 | Machine vision on-site detection platform for cutting surface |
| CN116749365B (en) * | 2023-08-23 | 2023-11-03 | 江苏京创先进电子科技有限公司 | Semiconductor chip cutting equipment and spindle vibration self-adaptive control method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4040609A1 (en) * | 1989-06-19 | 1992-06-25 | Maier Kg Andreas | Measuring body, pref. rotating cutting tool contours - using ccd camera and laser diode on either side of body whereby camera records largest radius and corresp. rotation angle |
| CN1680072A (en) * | 2004-04-08 | 2005-10-12 | 电子科技大学 | Precisive measurement of static knife profile |
| KR20130022129A (en) * | 2011-08-25 | 2013-03-06 | 두산인프라코어 주식회사 | Device for measuring tool of a machine tool |
| CN103335594A (en) * | 2013-06-30 | 2013-10-02 | 苏州腾行精密模具有限公司 | Automatic measuring device for tool |
| CN103817562A (en) * | 2013-12-11 | 2014-05-28 | 贵州西南工具(集团)有限公司 | Method and device for detecting parameters of cutter |
| CN105096298A (en) * | 2014-05-08 | 2015-11-25 | 东北大学 | Grid feature point extraction method based on fast line extraction |
| CN205497128U (en) * | 2016-04-12 | 2016-08-24 | 山东大学 | Cutter parameter measurement device based on CCD |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10000491B4 (en) * | 2000-01-08 | 2004-09-23 | Kelch Gmbh + Co Werkzeugmaschinenfabrik | Method and measuring device for measuring a rotary tool |
-
2016
- 2016-04-12 CN CN201610224684.2A patent/CN105666246B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4040609A1 (en) * | 1989-06-19 | 1992-06-25 | Maier Kg Andreas | Measuring body, pref. rotating cutting tool contours - using ccd camera and laser diode on either side of body whereby camera records largest radius and corresp. rotation angle |
| CN1680072A (en) * | 2004-04-08 | 2005-10-12 | 电子科技大学 | Precisive measurement of static knife profile |
| KR20130022129A (en) * | 2011-08-25 | 2013-03-06 | 두산인프라코어 주식회사 | Device for measuring tool of a machine tool |
| CN103335594A (en) * | 2013-06-30 | 2013-10-02 | 苏州腾行精密模具有限公司 | Automatic measuring device for tool |
| CN103817562A (en) * | 2013-12-11 | 2014-05-28 | 贵州西南工具(集团)有限公司 | Method and device for detecting parameters of cutter |
| CN105096298A (en) * | 2014-05-08 | 2015-11-25 | 东北大学 | Grid feature point extraction method based on fast line extraction |
| CN205497128U (en) * | 2016-04-12 | 2016-08-24 | 山东大学 | Cutter parameter measurement device based on CCD |
Non-Patent Citations (1)
| Title |
|---|
| 基于图像处理的智能机床刀具检测技术研究;寇星源;《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》;20131115(第11期);B022-93 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105666246A (en) | 2016-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105666246B (en) | Cutter parameter measuring device and its measuring method based on CCD | |
| US12001191B2 (en) | Automated 360-degree dense point object inspection | |
| CN111537517B (en) | Unmanned intelligent stamping defect identification method | |
| WO2020223594A2 (en) | Automated 360-degree dense point object inspection | |
| CN102529019B (en) | Method for mould detection and protection as well as part detection and picking | |
| CN106017350A (en) | Machine-vision-based rapid detection device and detection method for medium and small module gears | |
| CN104236498B (en) | Method for measuring end size of switch rail | |
| CN111583114B (en) | Automatic measuring device and measuring method for pipeline threads | |
| CN109447971B (en) | Method for accurately extracting profile error of cycloidal gear and rapidly analyzing key form and position accuracy | |
| CN101122457A (en) | Image border scanning system and method | |
| CN109489554B (en) | Intelligent detection method and device for parameters of all layers of full-automatic cable | |
| CN108413892B (en) | Method and device for detecting three-dimensional surface topography of whole circumference of diamond wire saw | |
| CN108489394A (en) | A kind of large-scale sheet metal works almost T-stable automatic detection device and method | |
| CN107588723B (en) | Circular mark leak source detection method on a kind of High-speed target based on two-step method | |
| CN108296880A (en) | Cutter based on CCD galls damage on-line measuring device and its detection method | |
| CN110544235A (en) | Flexible circuit board image area identification method based on differential geometry | |
| CN106000903B (en) | A kind of non-contact detection system and method for being used to detect loom cloth gripper edge gap | |
| CN114252452A (en) | Online detection device and method for appearance defects and contour dimension of small-sized revolving body | |
| CN108759676A (en) | Based on tessellated transmission case end face large scale geometric tolerance detection device and method | |
| CN203758470U (en) | Flatness detection apparatus for cell phone shielding cover | |
| CN208042989U (en) | A kind of large-scale sheet metal works almost T-stable automatic detection device | |
| CN205497128U (en) | Cutter parameter measurement device based on CCD | |
| CN112037281B (en) | Visual system for guiding automatic hair follicle harvesting machine | |
| CN110657750B (en) | Detection system and method for passivation of cutting edge of cutter | |
| CN116945126A (en) | Binocular initiative visual monitoring device suitable for precision machining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |