CN103115577A - Optic fiber dimension measurement algorithm based on machine vision - Google Patents
Optic fiber dimension measurement algorithm based on machine vision Download PDFInfo
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- CN103115577A CN103115577A CN2013100274149A CN201310027414A CN103115577A CN 103115577 A CN103115577 A CN 103115577A CN 2013100274149 A CN2013100274149 A CN 2013100274149A CN 201310027414 A CN201310027414 A CN 201310027414A CN 103115577 A CN103115577 A CN 103115577A
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Abstract
The invention relates to an optical fiber dimension measurement algorithm based on machine vision. An image which needs to be measured is read, a gray level histogram of the image is obtained, then a threshold value of a boundary of a wrapping layer and a fiber core is obtained through the gray level histogram, the wrapping layer and the fiber core are separated according to the obtained threshold value, and a notch part is found out and cut according to the threshold value; the fiber core area and the wrapping layer area are extracted respectively for multiple measurement of relevant parameters, a mean value is obtained, circle centers of the fiber core and the wrapping layer are obtained, and concentricity of the fiber core and the wrapping layer is calculated and obtained. According to the method, a machine vision technology is used, the image of the end face of an optical fiber is subjected to threshold value division, interference removal, filtering, fitting and other processes, various geometric dimension parameters of the optical fiber are measured efficiently and intelligently. Compared with a traditional optical fiber measurement method, the method has the advantages of being fast in processing speed and high in measuring precision, and operation level is not depended on excessively. The method can be popularized and applied in dimension measurement of other small linear objects.
Description
Technical field
The present invention relates to a kind of measuring technique, particularly a kind of fiber size Measurement Algorithm based on machine vision.
Background technology
In recent years along with the development of optical fiber technology, the precision measurement of the various parameters of optical fiber itself is to the manufacturing of optical fiber and use all that tool is of great significance.For guaranteeing its quality, production and application department all strictly carry out multiple check by national standard to optical fiber, and nearly 4 kinds of its method of inspection is respectively: artificial cognition method, image cut method, pulse counting method, digital image processing method.The edge feature that extracts the reflection grey scale change in the image is an important branch of Digital Image Processing.Method based on Digital Image Processing is measured automatically to the geometric parameter of fiber end face, has the advantage that processing speed is fast, measuring accuracy is high and too do not rely on operant level, and the method is the trend of industry.
Summary of the invention
The present invention be directed to digital image processing method and meet the problem that present optical fiber quality detects needs, a kind of new fiber size Measurement Algorithm based on machine vision has been proposed, the applied for machines vision technique, measuring accuracy and speed have greatly been improved, be fit to the dimensional measurement of fine object, relate in particular to the measurement of the physical dimension parameter of large aperture optical fiber.
Technical scheme of the present invention is: a kind of fiber size Measurement Algorithm based on machine vision specifically comprises the steps:
1) image pre-service: read the image that to measure, obtain its grey level histogram;
2) remove disturbing factor: the average gray value that obtains image according to grey level histogram, the relation of then closing marginal gray-scale value and average gray value according to covering and fibre core obtains threshold value, according to the threshold value that obtains covering and core segment are distinguished, then utilize this threshold value cut out portion to be found out and with its excision;
3) obtain the cladding regions of needs rim detection: according to step 2), graph transformation is carried out in the zone that obtains, obtain the circle with regional approximate size, the border circular areas that utilization obtains intercepts away the image of cladding regions from original image, then the correlation parameter of fibre core is measured, obtain the edge of fibre core according to function operators, edge is selected, combination, obtains required edge;
4) match is measured: the edge that obtains is carried out the shape match, match obtains circle and ellipse respectively, can obtain diameter and the center of circle of fibre core, change different edges and select parameter, take multiple measurements, obtain rational average, can confirm as diameter and the center of circle of fibre core, and the major and minor axis radius of determining the ellipse that match obtains
R Long And R Short, according to following formula:
5) match of covering is measured: after the fibre core measurement is complete, the zone of core segment is clipped from original image, simultaneously cut out portion is removed from former figure, step is with 1) and 2), carry out the measurement of clad section dimensional parameters with remaining image section, obtain the Edge detected of covering, the edge that needs, and fitting circle, fitted ellipse, cladding diameter, the center of circle and out-of-roundness obtained through repeated experiments;
6) center of circle that step 4) and 5) measures fibre core and covering is respectively: A (X
1, Y
1), B (X
2, Y
2), then concentricity can be calculated by following formula:
Beneficial effect of the present invention is: the fiber size Measurement Algorithm that the present invention is based on machine vision, the applied for machines vision technique, the fiber end face image is carried out Threshold segmentation, removes the processing such as interference, filtering, match, every physical dimension parameter of high efficiency smart ground measuring optical fiber.Compare with traditional optical fibre measuring method, the method has the advantage that processing speed is fast, measuring accuracy is high and too do not rely on operant level.Can be applied to the dimensional measurement of other small class thread-shaped bodies.
Description of drawings
Fig. 1 is the fiber size Measurement Algorithm process flow diagram that the present invention is based on machine vision;
Fig. 2 is the original image figure that the embodiment of the invention is read in;
Fig. 3 is the grey level histogram of embodiment of the invention original image;
Fig. 4 is the figure after the embodiment of the invention is clipped otch;
Fig. 5 is the figure that the embodiment of the invention is removed the covering edge effect;
Fig. 6 is the fibre core edge that obtains of the embodiment of the invention and the fibre core outline map of selection;
Fig. 7 is match circle and the fitted ellipse figure at embodiment of the invention fibre core edge;
Fig. 8 is the figure after the embodiment of the invention is removed fibre core edge and otch impact;
Fig. 9 is the covering edge that obtains of the embodiment of the invention and the covering outline map of selection;
Figure 10 is fitting circle and the fitted ellipse figure at embodiment of the invention covering edge.
Embodiment
Based on the fiber size Measurement Algorithm process flow diagram of machine vision, specifically comprise the steps: as shown in Figure 1
1, image pre-service: the image that needs are measured reads in, and reads original image as shown in Figure 2; Obtain its grey level histogram, as shown in Figure 3.
2. removal disturbing factor: obtain the average gray value of image according to grey level histogram, then obtain the threshold value of needs according to the mutual relationship of border gray-scale value and average gray value among the figure.Can see that such as accompanying drawing 2 image of incision no longer is the original circular arc of optical fiber, but become the irregular range of linearity, correct result can be disturbed in the border of obtaining like this, therefore will first irregular incision tract be cut away, to get rid of it to the impact of diameter measurement.Can covering and core segment be distinguished according to the threshold value that obtains, then utilize this threshold value cut out portion to be found out and with its excision.Image behind the excision otch as shown in Figure 4.
3. rim detection: utilize the threshold value of trying to achieve previously to obtain the cladding regions that needs, graph transformation is carried out in the zone that obtains, obtain the circle with regional approximate size, the border circular areas that utilization obtains intercepts away the image of cladding regions from original image, so just removed the impact of covering outer boundary, then image after the intercepting can be measured the correlation parameter of fibre core as shown in Figure 5.Obtain the edge of fibre core according to function operators, edge is selected, combination, obtains an optimal edge the longest, has shown the edge (left figure) that detects in the accompanying drawing 6, and select, in conjunction with after edge (right figure):
4. match is measured: the edge that obtains is carried out the shape match, and match obtains circle and ellipse respectively.As shown in Figure 7 (left figure is that fibre core fitting circle and the center of circle, right figure are fitted ellipse).So far, can obtain diameter and the center of circle of fibre core, change different edge and select parameter, take multiple measurements, obtain rational average, can confirm as diameter and the center of circle of fibre core, and the major and minor axis radius of determining the ellipse that match obtains
R Long And R Short, according to following formula:
Can be in the hope of fiber core non circularity.
5. the match of covering is measured: after the fibre core measurement is complete, the zone of core segment is clipped from original image, simultaneously cut out portion is also removed from former figure, provide above the method.Carry out the measurement of clad section dimensional parameters with remaining image section, the image after the intercepting as shown in Figure 8.In like manner, can utilize said method to detect, obtain the Edge detected of covering, the edge that needs; And fitting circle, fitted ellipse.Shown in result such as the accompanying drawing 9,10.Obtain cladding diameter, the center of circle and out-of-roundness through repeated experiments.Suppose that the center of circle that measures fibre core and covering is respectively: A (X
1, Y
1), B (X
2, Y
2).Then concentricity can be calculated by following formula:
Claims (1)
1. the fiber size Measurement Algorithm based on machine vision is characterized in that, specifically comprises the steps:
1) image pre-service: read the image that to measure, obtain its grey level histogram;
2) remove disturbing factor: the average gray value that obtains image according to grey level histogram, the relation of then closing marginal gray-scale value and average gray value according to covering and fibre core obtains threshold value, according to the threshold value that obtains covering and core segment are distinguished, then utilize this threshold value cut out portion to be found out and with its excision;
3) obtain the cladding regions of needs rim detection: according to step 2), graph transformation is carried out in the zone that obtains, obtain the circle with regional approximate size, the border circular areas that utilization obtains intercepts away the image of cladding regions from original image, then the correlation parameter of fibre core is measured, obtain the edge of fibre core according to function operators, edge is selected, combination, obtains required edge;
4) match is measured: the edge that obtains is carried out the shape match, match obtains circle and ellipse respectively, can obtain diameter and the center of circle of fibre core, change different edges and select parameter, take multiple measurements, obtain rational average, can confirm as diameter and the center of circle of fibre core, and the major and minor axis radius of determining the ellipse that match obtains
R Long And R Short, according to following formula:
5) match of covering is measured: after the fibre core measurement is complete, the zone of core segment is clipped from original image, simultaneously cut out portion is removed from former figure, step is with 1) and 2), carry out the measurement of clad section dimensional parameters with remaining image section, obtain the Edge detected of covering, the edge that needs, and fitting circle, fitted ellipse, cladding diameter, the center of circle and out-of-roundness obtained through repeated experiments;
6) center of circle that step 4) and 5) measures fibre core and covering is respectively: A (X
1, Y
1), B (X
2, Y
2), then concentricity can be calculated by following formula:
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103438802A (en) * | 2013-09-17 | 2013-12-11 | 侯俊 | Method for measuring geometric parameters of optical fiber coating layer |
| CN105676356A (en) * | 2016-03-15 | 2016-06-15 | 中国工程物理研究院激光聚变研究中心 | Fiber core positioning method and fiber core alignment calibration method for optical fiber fusion |
| CN108876777A (en) * | 2018-06-14 | 2018-11-23 | 重庆科技学院 | A kind of visible detection method and system of wind electricity blade end face of flange characteristic size |
| CN110068278A (en) * | 2019-04-22 | 2019-07-30 | 南京理工大学 | Non-contact optical fiber preform size real-time measurement system and method based on FPGA |
| CN114986633A (en) * | 2022-05-05 | 2022-09-02 | 四川大学 | Machine vision-based automatic selection system and method for original bamboo splitting tool |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103438802A (en) * | 2013-09-17 | 2013-12-11 | 侯俊 | Method for measuring geometric parameters of optical fiber coating layer |
| CN103438802B (en) * | 2013-09-17 | 2016-04-20 | 上海理工大学 | Optical fiber coating geometric parameter measurement method |
| CN105676356A (en) * | 2016-03-15 | 2016-06-15 | 中国工程物理研究院激光聚变研究中心 | Fiber core positioning method and fiber core alignment calibration method for optical fiber fusion |
| CN105676356B (en) * | 2016-03-15 | 2019-03-01 | 中国工程物理研究院激光聚变研究中心 | A kind of localization method of fibre core and the fibre core of fused fiber splice align calibration method |
| CN108876777A (en) * | 2018-06-14 | 2018-11-23 | 重庆科技学院 | A kind of visible detection method and system of wind electricity blade end face of flange characteristic size |
| CN110068278A (en) * | 2019-04-22 | 2019-07-30 | 南京理工大学 | Non-contact optical fiber preform size real-time measurement system and method based on FPGA |
| CN114986633A (en) * | 2022-05-05 | 2022-09-02 | 四川大学 | Machine vision-based automatic selection system and method for original bamboo splitting tool |
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Application publication date: 20130522 |