CN107742285A - In machine grinding wheel grinding layer thickness detecting method - Google Patents
In machine grinding wheel grinding layer thickness detecting method Download PDFInfo
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- CN107742285A CN107742285A CN201710878358.8A CN201710878358A CN107742285A CN 107742285 A CN107742285 A CN 107742285A CN 201710878358 A CN201710878358 A CN 201710878358A CN 107742285 A CN107742285 A CN 107742285A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B49/00—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation
- B24B49/12—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation involving optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
- G06T7/41—Analysis of texture based on statistical description of texture
- G06T7/44—Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Probability & Statistics with Applications (AREA)
- Mechanical Engineering (AREA)
- Quality & Reliability (AREA)
- Constituent Portions Of Griding Lathes, Driving, Sensing And Control (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses image of the one kind on machine grinding wheel grinding layer thickness detecting method, its some emery wheel circumferencial direction of acquisition, some images include complete wheel grinding layer periphery；Binary image is obtained after carrying out binary conversion treatment to described image；The a row or column pixel that two intersection points in binary image with grinding layer be present is chosen, and extracts two intersection points in the row/column pixel as emery wheel and the separation of grinding layer；Two separations of connection form a line segment, build the straight line of an excessively described line segment center and vertical segment；After carrying out sub-pix subdivision to pretreated image, rim detection is carried out to the pixel of the straight line, obtains the interior separation of grinding layer and outer separation；The thickness of grinding layer in every image is obtained according to the pixel count between interior separation and outer separation.
Description
Technical field
The present invention relates to computer vision field, and in particular to one kind is in machine grinding wheel grinding layer thickness detecting method.
Background technology
The structure type of super-abrasive grinding wheel (skive, cubic boron nitride abrasive wheel etc.), usually in silvery white metal
The grinding layer that super hard abrasive forms dark color is bonded on the base steel of color (substrate).In grinding, when the thickness of grinding layer wears
The emery wheel that must more renew during to certain degree.This kind of emery wheel is generally expensive, and change influences economic benefit too early, changes
The risk of production can be increased again too late.
And production firm is often intended to utilize the actually active thickness of grinding layer as far as possible, the profit of every emery wheel is improved
With rate, production cost is reduced, therefore stills need operator in process of production and manually visually observes, can judge by rule of thumb to the greatest extent can
The usage time of emery wheel can be extended.But this method is high to the skill requirement of operator, and efficiency is relatively low.
The content of the invention
It is provided by the invention in machine grinding wheel grinding layer thickness detecting method energy for above shortcomings in the prior art
Enough in emery wheel substrate and grinding layer color difference, the quick detection of wheel grinding thickness degree is realized.
In order to reach foregoing invention purpose, the technical solution adopted by the present invention is：
There is provided a kind of in machine grinding wheel grinding layer thickness detecting method, it includes：
The image on some emery wheel circumferencial directions is obtained, some images include complete wheel grinding layer periphery；
Binary image is obtained after carrying out binary conversion treatment to described image；
The a row or column pixel that two intersection points in binary image with grinding layer be present is chosen, and extracts the row/column picture
Two intersection points in element are as emery wheel and the separation of grinding layer；
Two separations of connection form a line segment, build the straight line of an excessively described line segment center and vertical segment；
After carrying out sub-pix subdivision to pretreated image, rim detection is carried out to the pixel of the straight line, is ground
The interior separation and outer separation of layer；
The thickness of grinding layer in every image is obtained according to the pixel count between interior separation and outer separation.
Further, the pixel of described pair of straight line carry out rim detection be according on straight line current pixel point before with
The gray value of set amount pixel below.
Further, it is further according to the gray value of the front and back set amount pixel of current pixel point on straight line
Including：
Described in interpretation on straight line the gray value of current pixel point front and back set amount pixel and given threshold and
The relation of setting value：
If the gray value of set amount pixel is all higher than given threshold and current picture before current pixel point on straight line
When the gray value of set amount pixel is respectively less than setting value behind vegetarian refreshments, then current pixel point is the interior separation of grinding layer；
If the gray value of set amount pixel is all higher than setting value and current pixel before current pixel point on straight line
When the gray value of point set amount pixel below is respectively less than given threshold, then current pixel point for grinding layer outer separation.
Further, choose in binary image includes with method of the grinding layer in the presence of the one-row pixels of two intersection points：
The ratio that black picture element accounts for the row pixel is calculated line by line from the first row pixel of binary image；
If the ratio that black picture element accounts for the row pixel is more than or equal to 10%, chooses the row pixel and deposited as with grinding layer
In the one-row pixels of two intersection points.
Further, choose the setting row pixel from binary image from top to bottom and two friendships be present as with grinding layer
The one-row pixels of point.
Further, two intersection points extracted in the row pixel further comprise as the separation of emery wheel and grinding layer：
Judged point by point from the high order end of the row pixel to right-hand member：
If the continuous pixel for setting quantity on the left of a pixel be present has continuous setting quantity as black and right side
Pixel for white, then the point is one of intersection point；
If the continuous pixel for setting quantity on the left of a pixel be present has continuous setting quantity as white and right side
Pixel be black, then the point is another intersection point.
Further, when obtaining the image on some emery wheel circumferencial directions, place by camera and shone towards the forward direction of emery wheel
Mingguang City source, the lighting source towards emery wheel backwards is placed in the opposite side of emery wheel.
Further, using interpolation method, least squares estimate, polynomial fitting method or Gray Moment edge detection algorithm pair
Pretreated image carries out sub-pix subdivision.
Further, in the image on gathering emery wheel circumferencial direction, wheel grinding layer is among viewing field of camera.
Beneficial effects of the present invention are：When emery wheel substrate and wheel grinding layer color differ, this programme can be non-
In the case of contacting emery wheel, using the emery wheel image of collection, the grinding layer thickness of emery wheel is can be obtained by by the analysis to image,
Have the advantages that non-contact, efficiency high, precision are high, avoid artifact from disturbing.
This programme is compared to traditional artificial detection method, and this method precision is high, highly reliable, compared to other new inspections
Survey method, can of the present invention are quickly obtained the data of wheel grinding thickness degree of concern, help worker to judge whether to need
Change emery wheel, simple to operate, significant increase operating efficiency；Meanwhile this method is easy to load and unload, meet the need of on-machine measurement
Ask, do not influence normal activity.
Brief description of the drawings
Fig. 1 is the flow chart in machine grinding wheel grinding layer thickness detecting method one embodiment.
Fig. 2 is the partial original image of the emery wheel of collection.
Fig. 3 is the histogram of image after pretreatment.
Fig. 4 is the image after binary conversion treatment.
Embodiment
The embodiment of the present invention is described below, in order to which those skilled in the art understand this hair
It is bright, it should be apparent that the invention is not restricted to the scope of embodiment, for those skilled in the art,
As long as various change in the spirit and scope of the present invention that appended claim limits and determines, these changes are aobvious and easy
See, all are using the innovation and creation of present inventive concept in the row of protection.
With reference to figure 1, Fig. 1 shows the flow chart in machine grinding wheel grinding layer thickness detecting method one embodiment, such as Fig. 1 institutes
Show, this method 100 includes step 101 to step 106.
In a step 101, the image on some emery wheel circumferencial directions is obtained, one on each IMAQ emery wheel circumference
Segment profile, some images include complete wheel grinding layer periphery.
During implementation, this programme preferably uses red-light LED light source, using the orthodromic illumination light placed by camera towards emery wheel
Source, the lighting source towards emery wheel backwards is placed in the opposite side of emery wheel；Clearly emery wheel mill can be obtained in this way
Cut layer outward flange and grinding layer and the image of emery wheel substrate boundary edges.
In order to which the image gathered by the smaller measurement visual field can be realized as the measurement of wheel grinding thickness degree, using in sand
The IMAQ of wheel grinding layer circle is gradually completing in wheel rotary course.The installation of camera before collection image, should try one's best guarantor
Card wheel grinding layer is among visual field, while adjusts the relative position of front illumination light source and area array cameras, makes illumination more
Uniformly.
In a step 102, binary image is obtained after carrying out binary conversion treatment to image；During implementation, preferred pair original graph
As being pre-processed, filtering removes noise, and draws histogram, and carrying out image binaryzation according to histogram data obtains binaryzation
Image, the original image of its medium plain emery wheel is with reference to figure 2, and histogram is with reference to figure 3, and binary image is with reference to figure 4.
In step 103, choose in binary image and a row or column of two intersection points be present ((if adopting with grinding layer
The acquisition of image is carried out with the mode parallel with grinding layer, then selection is exactly pixel column, if camera is rotated by 90 °, is used
The mode vertical with grinding layer carries out the acquisition of image, then selection is exactly pixel column) pixel, and extract in the row pixel
Two intersection points are as emery wheel and the separation of grinding layer.
In one embodiment of the invention, the one-row pixels that two intersection points in binary image with grinding layer be present are chosen
Method include：
The ratio that black picture element accounts for the row pixel is calculated line by line from the first row pixel of binary image；
If the ratio that black picture element accounts for the row pixel is more than or equal to 10%, chooses the row pixel and deposited as with grinding layer
In the one-row pixels of two intersection points.
During normal acquisition image, because the position of wheel grinding layer in the picture is substantially constant, so fixed choose
The pixel of a certain row/column is bound to meet have two intersection points with the edge of grinding layer side, thus in binary image is chosen and
When grinding layer has the one-row pixels of two intersection points, the pixel for choosing a rows can be fixed.
In one embodiment of the invention, boundary of two intersection points as emery wheel and grinding layer in the row pixel is extracted
Point further comprises：
Judged point by point from the high order end of the row pixel to right-hand member：
If the continuous pixel for setting quantity on the left of a pixel be present has continuous setting quantity as black and right side
Pixel for white, then the point is one of intersection point；
If the continuous pixel for setting quantity on the left of a pixel be present has continuous setting quantity as white and right side
Pixel be black, then the point is another intersection point.
At step 104, two separations one line segments of composition of connection, the line segment center excessively of structure one and vertical segment
Straight line；As shown in figure 4, a white line segment horizontal in figure is to connect the line segment that two separations are formed, vertical direction
On that white line segment be line segment center and vertical segment straight line.
In step 105, after carrying out sub-pix subdivision to pretreated image, edge inspection is carried out to the pixel of the straight line
Survey, obtain the interior separation of grinding layer and outer separation.
During implementation, this programme can use interpolation method, least squares estimate, polynomial fitting method or the inspection of Gray Moment edge
Method of determining and calculating carries out sub-pix subdivision to pretreated image, it is preferred to use interpolation method carries out 3 times of subdivisions.
During implementation, the pixel of this programme preferred pair straight line carry out rim detection be according to current pixel point on straight line before
Face and the below gray value of set amount pixel.
In one embodiment of the invention, rim detection is carried out to the pixel of the straight line, obtains the interior boundary of grinding layer
Point and outer separation further comprise：
The gray value of current pixel point front and back set amount pixel and given threshold and setting on interpretation straight line
The relation of value：
If the gray value of set amount pixel is all higher than given threshold and current picture before current pixel point on straight line
When the gray value of set amount pixel is respectively less than setting value behind vegetarian refreshments, then current pixel point is the interior separation of grinding layer；
If the gray value of set amount pixel is all higher than setting value and current pixel before current pixel point on straight line
When the gray value of point set amount pixel below is respectively less than given threshold, then current pixel point for grinding layer outer separation.
Further refining explanation is, after carrying out 3 times of subdivisions using interpolation method, threshold when being handled according to image binaryzation before
Value t, it is determined that the grinding layer thickness after subdivision.Specific method is as follows：
For each pixel of the straight line, of the gray value more than (t-2) in 10 pixels is calculated before the pixel
Number n1, gray value are less than the number n2 of (t+2), and gray value is less than the number n3 of (t+2) in rear 10 pixels, more than (t-2)
Number n4：
If n1=10 and n3=10, then it is assumed that the pixel is the internal boundary points of grinding layer；
If n2=10 and n4=10, then it is assumed that the pixel is the external boundary point of grinding layer.
In step 106, grinding layer in every image is obtained according to the pixel count between interior separation and outer separation
Thickness.The grinding layer thickness obtained by some images, whole wheel grinding layer circumferentially overall condition information can be obtained.
In summary, during using this programme to the THICKNESS CALCULATION of grinding layer, precision is up to sub-pix rank, compared to operation
Person visually observes qualitative judgement, realizes the quantitative analysis of degree of precision.
Claims (9)
1. in machine grinding wheel grinding layer thickness detecting method, it is characterised in that including：
The image on some emery wheel circumferencial directions is obtained, some images include complete wheel grinding layer periphery；
Binary image is obtained after carrying out binary conversion treatment to described image；
The a row or column pixel that two intersection points in binary image with grinding layer be present is chosen, and is extracted in the row/column pixel
Two intersection points as emery wheel and the separation of grinding layer；
Two separations of connection form a line segment, build the straight line of an excessively described line segment center and vertical segment；
After carrying out sub-pix subdivision to pretreated image, rim detection is carried out to the pixel of the straight line, obtains grinding layer
Interior separation and outer separation；
The thickness of grinding layer in every image is obtained according to the pixel count between interior separation and outer separation.
It is 2. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that described pair of straight line
It is the gray value according to the front and back set amount pixel of current pixel point on straight line that pixel, which carries out rim detection,.
It is 3. according to claim 2 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that according to current on straight line
The gray value of the front and back set amount pixel of pixel further comprises：
The gray value of current pixel point front and back set amount pixel and given threshold and setting on straight line described in interpretation
The relation of value：
If the gray value of set amount pixel is all higher than given threshold and current pixel point before current pixel point on straight line
When the gray value of set amount pixel is respectively less than setting value below, then current pixel point is the interior separation of grinding layer；
After if the gray value of set amount pixel is all higher than setting value and current pixel point before current pixel point on straight line
When the gray value of face set amount pixel is respectively less than given threshold, then current pixel point is the outer separation of grinding layer.
It is 4. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that the selection binaryzation
Include in image with method of the grinding layer in the presence of the one-row pixels of two intersection points：
The ratio that black picture element accounts for the row pixel is calculated line by line from the first row pixel of binary image；
If the ratio that black picture element accounts for the row pixel is more than or equal to 10%, chooses the row pixel and have two as with grinding layer
The one-row pixels of individual intersection point.
It is 5. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that to choose from binary picture
Setting row pixel as in from top to bottom is as the one-row pixels that two intersection points with grinding layer be present.
6. according to claim 1,4 or 5 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that the extraction
Two intersection points in the row pixel further comprise as the separation of emery wheel and grinding layer：
Judged point by point from the high order end of the row pixel to right-hand member：
If the picture that the continuous pixel for setting quantity has continuous setting quantity as black and right side on the left of a pixel be present
Vegetarian refreshments is white, then the point is one of intersection point；
If the picture that the continuous pixel for setting quantity has continuous setting quantity as white and right side on the left of a pixel be present
Vegetarian refreshments is black, then the point is another intersection point.
It is 7. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that to obtain some emery wheel circles
During image in circumferential direction, the orthodromic illumination light source towards emery wheel is placed by camera, is placed in the opposite side of emery wheel towards sand
The lighting source of wheel backwards.
It is 8. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that using interpolation method, most
A young waiter in a wineshop or an inn multiplies the estimation technique, polynomial fitting method or Gray Moment edge detection algorithm and carries out sub-pix subdivision to pretreated image.
It is 9. according to claim 1 in machine grinding wheel grinding layer thickness detecting method, it is characterised in that in collection emery wheel circumference
During image on direction, wheel grinding layer is among viewing field of camera.
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| CN201710878358.8A CN107742285B (en) | 2017-09-26 | 2017-09-26 | Method for detecting thickness of grinding layer of grinding wheel on machine |
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| CN201710878358.8A CN107742285B (en) | 2017-09-26 | 2017-09-26 | Method for detecting thickness of grinding layer of grinding wheel on machine |
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| CN117921450A (en) * | 2024-03-21 | 2024-04-26 | 成都晨航磁业有限公司 | Tile-shaped magnet production and processing method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114632713A (en) * | 2022-05-18 | 2022-06-17 | 山东博汇纸业股份有限公司 | Paper pulp thickness detection system for double-sided copper plate paperboard based on visual sensor |
| CN115035303A (en) * | 2022-06-17 | 2022-09-09 | 郑州磨料磨具磨削研究所有限公司 | Method for detecting abrasive concentration of electroplated colored cBN grinding wheel |
| CN115035303B (en) * | 2022-06-17 | 2024-04-26 | 郑州磨料磨具磨削研究所有限公司 | Abrasive concentration detection method of electroplated colored cBN grinding wheel |
| CN117921450A (en) * | 2024-03-21 | 2024-04-26 | 成都晨航磁业有限公司 | Tile-shaped magnet production and processing method |
| CN117921450B (en) * | 2024-03-21 | 2024-05-24 | 成都晨航磁业有限公司 | Tile-shaped magnet production and processing method |
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