CN110006350B - Thickness measuring platform based on laser beam emission - Google Patents
Thickness measuring platform based on laser beam emission Download PDFInfo
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- CN110006350B CN110006350B CN201811094147.6A CN201811094147A CN110006350B CN 110006350 B CN110006350 B CN 110006350B CN 201811094147 A CN201811094147 A CN 201811094147A CN 110006350 B CN110006350 B CN 110006350B
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- 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
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Abstract
The invention relates to a thickness measuring platform based on laser beam emission, comprising: the data combination equipment is connected with the partition filtering equipment and used for receiving each filtering gray value of each pixel point in each image partition and combining the filtering gray values of each pixel point in each image partition into a filtering image corresponding to the high-definition square image; the low-frequency filtering equipment is used for filtering low-frequency components in the filtered image to obtain a corresponding high-frequency residual image; the threshold segmentation device is connected with the low-frequency filtering device and used for identifying each bulging pixel point in the high-frequency residual image based on a preset bulging brightness threshold range and removing isolated points in each bulging pixel point to obtain and output a bulging area; a smoothness identification device for determining a surface smoothness of the glass pane based on the area of the bulging region. By the method and the device, the image processing efficiency and effect can be improved.
Description
Technical Field
The invention relates to the field of glass blocks, in particular to a thickness measuring platform based on laser beam emission.
Background
The glass thickness measuring instrument is a newly introduced measuring instrument for controlling the quality of the glass thickness. Generally, the instrument adopts a laser measuring head, so that the high efficiency and the accuracy of measured data and the long service life of the instrument are ensured, and the instrument adopts a professional transmission module, a modularized design and a humanized design software, so that the glass thickness can be measured in a high-efficiency and non-contact manner.
Disclosure of Invention
The invention provides a thickness measuring platform based on laser beam emission, and aims to solve the technical problem that the surface smoothness of a glass block is difficult to measure in the prior art.
The invention has at least the following three important points:
(1) determining the glass thickness of the glass block based on the difference value of the number of laser beams transmitted and received by the left side surface and the right side surface of the glass block and the customized distance between the beams;
(2) determining the surface smoothness of the corresponding glass block based on the area of the bulging area in the high-frequency image;
(3) the method comprises the steps of conducting uniform partitioning on an image to be filtered based on the sharpening degree of the image to be filtered to obtain image partitions with the same size, determining the number of salt and pepper noises in each image partition based on the positions of the salt and pepper noises in the image to be filtered, and conducting different filtering processing on different image partitions based on the number of the salt and pepper noises in each image partition to achieve high-precision filtering of the salt and pepper noises.
According to an aspect of the present invention, there is provided a laser beam emission based thickness measurement platform, the platform comprising:
the laser emitting device is arranged on the left side of the horizontally placed glass square block and used for horizontally emitting laser beams facing the glass square block, the laser beams emitted by the laser emitting device are first laser beams, and the intervals between the adjacent laser beams in the laser beams emitted by the laser emitting device are the same; the laser receiving equipment is arranged on the right side of the horizontally placed glass square block and used for horizontally receiving laser beams facing the glass square block, and the laser beams received by the laser receiving equipment are second laser beams; the laser matching equipment is respectively connected with the laser emitting equipment and the laser receiving equipment and is used for receiving the first laser beam and the second laser beam, subtracting the beam number of the second laser beam from the beam number of the first laser beam to obtain a phase difference beam number, and determining the corresponding glass thickness based on the phase difference beam number; and the high-definition camera equipment is arranged above the glass square and used for carrying out high-definition shooting on the glass square to obtain a corresponding high-definition square image.
More specifically, in the laser beam emission-based thickness measurement platform: the salt and pepper recognition equipment is connected with the high-definition camera equipment and used for receiving the high-definition square image, obtaining each gray value of each pixel point in the high-definition square image and determining each salt and pepper noise in the high-definition square image based on each gray value of each pixel point in the high-definition square image; the position analyzing device is connected with the salt and pepper identifying device and is used for uniformly partitioning the high-definition square image based on the sharpening degree of the high-definition square image so as to obtain image partitions with the same size, and determining the quantity of salt and pepper noise in each image partition at each position in the high-definition square image based on each salt and pepper noise in the high-definition square image; the appearance mapping device is connected with the position analyzing device and used for receiving the quantity of salt and pepper noises in each image partition in the high-definition square image and mapping the radial length of the corresponding filtering template based on the quantity of the salt and pepper noises in each image partition, wherein the greater the quantity of the salt and pepper noises in each image partition, the longer the radial length of the corresponding filtering template is mapped; the partition filtering device is respectively connected with the salt and pepper recognition device and the appearance mapping device, and is used for receiving the radial length of the filtering template corresponding to each image partition and executing the following filtering actions aiming at each image partition: determining a corresponding filtering template based on the radial length of the filtering template corresponding to the image partition, and performing filtering operation on each gray value of each pixel point in the image partition by adopting the corresponding filtering template to obtain each filtering gray value of each pixel point in the image partition; the data combination equipment is connected with the partition filtering equipment and used for receiving each filtering gray value of each pixel point in each image partition and combining the filtering gray values of the pixel points in each image partition into a filtering image corresponding to the high-definition square image; the low-frequency filtering equipment is connected with the data combination equipment and is used for receiving the filtering image and filtering low-frequency components in the filtering image to obtain a corresponding high-frequency residual image; the threshold segmentation device is connected with the low-frequency filtering device and used for identifying each bulging pixel point in the high-frequency residual image based on a preset bulging brightness threshold range and removing isolated points in each bulging pixel point to obtain and output a bulging area; a smoothness identification device coupled to the thresholding device for determining a surface smoothness of the glass pane based on the area of the raised region.
More specifically, in the laser beam emission-based thickness measurement platform: in the laser matching apparatus, determining the corresponding glass thickness based on the phase difference beam number includes: and multiplying the phase difference beam number by the spacing between adjacent laser beams in the laser beams emitted by the laser emitting device to obtain the glass thickness.
More specifically, in the laser beam emission-based thickness measurement platform: in the partition filtering device, performing filtering operation on each gray value of each pixel point in the image partition by using the corresponding filtering template includes: and aiming at each pixel point, adopting a filtering template taking the pixel point as a center to serve each pixel point in the high-definition square image as each effective pixel point, and determining the filtering gray value of the pixel point subjected to filtering operation based on each gray value of each effective pixel point.
More specifically, in the laser beam emission-based thickness measurement platform: determining the filtering gray value of the pixel point subjected to the filtering operation based on each gray value of each effective pixel point comprises the following steps: and sequencing the gray values of the effective pixel points in a size sequence, and taking the gray value of the central serial number as the filtering gray value of the pixel point subjected to filtering operation.
More specifically, in the laser beam emission-based thickness measurement platform: the partition filtering apparatus includes a pixel value receiving unit and a pixel value processing unit, the pixel value receiving unit being connected to the pixel value processing unit.
More specifically, in the laser beam emission-based thickness measurement platform: the laser emitting device includes a key input device for receiving a distance between adjacent laser beams input by an inspector.
More specifically, in the thickness measuring platform based on laser beam emission, further comprising:
and the laser driving device is connected with the laser emitting device and is used for determining the beam number of the laser beams emitted by the laser emitting device.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a high-definition image pickup apparatus based on a thickness measurement platform emitted by a laser beam according to an embodiment of the present invention.
Detailed Description
Embodiments of a laser beam emission-based thickness measuring stage according to the present invention will be described in detail below with reference to the accompanying drawings.
The glass thickness measurement in the prior art has several basic features: 1. the laser non-contact measurement does not damage the workpiece. 2. High data acquisition frequency and high-efficiency measurement. 3. The precision of the laser measuring head is less than 0.5um, and high-precision measurement is guaranteed. 4. The appearance design is pleasing to the eye, and inside is compact, and is small. 5. The modular design makes the assembly and maintenance more convenient. 6. The screw rod drives, and the low noise is fixed a position accurately, and the operation is more steady. 7. And 3, designing a high-integration circuit, and intelligently judging fault points.
In order to overcome the defects, the invention builds a thickness measuring platform based on laser beam emission, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic structural diagram of a high-definition image pickup apparatus based on a thickness measurement platform emitted by a laser beam according to an embodiment of the present invention. The high-definition camera equipment comprises a shell 1, an imaging hole 2, a communication cable 3 and an imaging baffle 4.
A laser beam emission based thickness measurement platform is shown according to an embodiment of the present invention comprising:
the laser emitting device is arranged on the left side of the horizontally placed glass square block and used for horizontally emitting laser beams facing the glass square block, the laser beams emitted by the laser emitting device are first laser beams, and the intervals between the adjacent laser beams in the laser beams emitted by the laser emitting device are the same; the laser receiving equipment is arranged on the right side of the horizontally placed glass square block and used for horizontally receiving laser beams facing the glass square block, and the laser beams received by the laser receiving equipment are second laser beams; the laser matching equipment is respectively connected with the laser emitting equipment and the laser receiving equipment and is used for receiving the first laser beam and the second laser beam, subtracting the beam number of the second laser beam from the beam number of the first laser beam to obtain a phase difference beam number, and determining the corresponding glass thickness based on the phase difference beam number; and the high-definition camera equipment is arranged above the glass square and used for carrying out high-definition shooting on the glass square to obtain a corresponding high-definition square image.
Next, a further explanation of the specific structure of the laser beam emission-based thickness measurement stage of the present invention will be continued.
In the laser beam emission based thickness measurement platform:
the salt and pepper recognition equipment is connected with the high-definition camera equipment and used for receiving the high-definition square image, obtaining each gray value of each pixel point in the high-definition square image and determining each salt and pepper noise in the high-definition square image based on each gray value of each pixel point in the high-definition square image;
the position analyzing device is connected with the salt and pepper identifying device and is used for uniformly partitioning the high-definition square image based on the sharpening degree of the high-definition square image so as to obtain image partitions with the same size, and determining the quantity of salt and pepper noise in each image partition at each position in the high-definition square image based on each salt and pepper noise in the high-definition square image;
the appearance mapping device is connected with the position analyzing device and used for receiving the quantity of salt and pepper noises in each image partition in the high-definition square image and mapping the radial length of the corresponding filtering template based on the quantity of the salt and pepper noises in each image partition, wherein the greater the quantity of the salt and pepper noises in each image partition, the longer the radial length of the corresponding filtering template is mapped;
the partition filtering device is respectively connected with the salt and pepper recognition device and the appearance mapping device, and is used for receiving the radial length of the filtering template corresponding to each image partition and executing the following filtering actions aiming at each image partition: determining a corresponding filtering template based on the radial length of the filtering template corresponding to the image partition, and performing filtering operation on each gray value of each pixel point in the image partition by adopting the corresponding filtering template to obtain each filtering gray value of each pixel point in the image partition;
the data combination equipment is connected with the partition filtering equipment and used for receiving each filtering gray value of each pixel point in each image partition and combining the filtering gray values of the pixel points in each image partition into a filtering image corresponding to the high-definition square image;
the low-frequency filtering equipment is connected with the data combination equipment and is used for receiving the filtering image and filtering low-frequency components in the filtering image to obtain a corresponding high-frequency residual image;
the threshold segmentation device is connected with the low-frequency filtering device and used for identifying each bulging pixel point in the high-frequency residual image based on a preset bulging brightness threshold range and removing isolated points in each bulging pixel point to obtain and output a bulging area;
a smoothness identification device coupled to the thresholding device for determining a surface smoothness of the glass pane based on the area of the raised region.
In the laser beam emission based thickness measurement platform: in the laser matching apparatus, determining the corresponding glass thickness based on the phase difference beam number includes: and multiplying the phase difference beam number by the spacing between adjacent laser beams in the laser beams emitted by the laser emitting device to obtain the glass thickness.
In the laser beam emission based thickness measurement platform: in the partition filtering device, performing filtering operation on each gray value of each pixel point in the image partition by using the corresponding filtering template includes: and aiming at each pixel point, adopting a filtering template taking the pixel point as a center to serve each pixel point in the high-definition square image as each effective pixel point, and determining the filtering gray value of the pixel point subjected to filtering operation based on each gray value of each effective pixel point.
In the laser beam emission based thickness measurement platform: determining the filtering gray value of the pixel point subjected to the filtering operation based on each gray value of each effective pixel point comprises the following steps: and sequencing the gray values of the effective pixel points in a size sequence, and taking the gray value of the central serial number as the filtering gray value of the pixel point subjected to filtering operation.
In the laser beam emission based thickness measurement platform: the partition filtering apparatus includes a pixel value receiving unit and a pixel value processing unit, the pixel value receiving unit being connected to the pixel value processing unit.
In the laser beam emission based thickness measurement platform: the laser emitting device includes a key input device for receiving a distance between adjacent laser beams input by an inspector.
In the thickness measuring platform based on laser beam emission, further comprising:
and the laser driving device is connected with the laser emitting device and is used for determining the beam number of the laser beams emitted by the laser emitting device.
In addition, in the thickness measuring platform based on laser beam emission, further comprising: and the PSTN communication port is connected with the smoothness recognition device and used for receiving and forwarding the surface smoothness of the glass square. PSTN (public Switched Telephone network) is defined as follows: the PSTN provides an analog private channel, and the channels are connected through a plurality of telephone switches. When two hosts or router devices need to be connected through PSTN, a Modem (Modem) must be used on the network access side (i.e., the user loop side) at both ends to implement analog-to-digital, digital-to-analog conversion of signals.
From the perspective of the OSI seven-layer model, the PSTN can be viewed as a simple extension of the physical layer, without providing services such as flow control, error control, etc. to the user. Furthermore, since the PSTN is a circuit-switched approach, a path is set up until released, and its full bandwidth can only be used by devices at both ends of the path, even though there is no data to transfer between them. Therefore, this circuit-switched approach does not achieve full utilization of network bandwidth. Internetworking over the PSTN is exemplified by an example of internetworking that connects two local area networks over the PSTN. In the two local area networks, each router is provided with a serial port connected with a Modem, and the Modem is connected with a PSTN, thereby realizing the interconnection of the two local area networks.
By adopting the thickness measuring platform based on laser beam emission, aiming at the technical problem that the surface smoothness of the glass square block is difficult to measure in the prior art, the glass thickness of the glass square block is determined based on the beam number difference value of the laser beams transmitted and received by the left side surface and the right side surface of the glass square block and the customized beam distance; determining the surface smoothness of the corresponding glass block based on the area of the bulging area in the high-frequency image; uniformly partitioning the image to be filtered based on the sharpening degree of the image to be filtered to obtain image partitions with the same size, determining the quantity of salt and pepper noise in each image partition based on the positions of the salt and pepper noise in the image to be filtered, and performing different filtering processing on different image partitions based on the quantity of the salt and pepper noise in each image partition to realize high-precision filtering of the salt and pepper noise; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (7)
1. A thickness measurement platform based on laser beam emission, the platform comprising:
the laser emitting device is arranged on the left side of the horizontally placed glass square block and used for horizontally emitting laser beams facing the glass square block, the laser beams emitted by the laser emitting device are first laser beams, and the intervals between the adjacent laser beams in the laser beams emitted by the laser emitting device are the same;
the laser receiving equipment is arranged on the right side of the horizontally placed glass square block and used for horizontally receiving laser beams facing the glass square block, and the laser beams received by the laser receiving equipment are second laser beams;
the laser matching equipment is respectively connected with the laser emitting equipment and the laser receiving equipment and is used for receiving the first laser beam and the second laser beam, subtracting the beam number of the second laser beam from the beam number of the first laser beam to obtain a phase difference beam number, and determining the corresponding glass thickness based on the phase difference beam number;
the high-definition camera equipment is arranged above the glass square and is used for carrying out high-definition shooting on the glass square to obtain a corresponding high-definition square image;
the salt and pepper recognition equipment is connected with the high-definition camera equipment and used for receiving the high-definition square image, obtaining each gray value of each pixel point in the high-definition square image and determining each salt and pepper noise in the high-definition square image based on each gray value of each pixel point in the high-definition square image;
the position analyzing device is connected with the salt and pepper identifying device and is used for uniformly partitioning the high-definition square image based on the sharpening degree of the high-definition square image so as to obtain image partitions with the same size, and determining the quantity of salt and pepper noise in each image partition at each position in the high-definition square image based on each salt and pepper noise in the high-definition square image;
the appearance mapping device is connected with the position analyzing device and used for receiving the quantity of salt and pepper noises in each image partition in the high-definition square image and mapping the radial length of the corresponding filtering template based on the quantity of the salt and pepper noises in each image partition, wherein the greater the quantity of the salt and pepper noises in each image partition, the longer the radial length of the corresponding filtering template is mapped;
the partition filtering device is respectively connected with the salt and pepper recognition device and the appearance mapping device, and is used for receiving the radial length of the filtering template corresponding to each image partition and executing the following filtering actions aiming at each image partition: determining a corresponding filtering template based on the radial length of the filtering template corresponding to the image partition, and performing filtering operation on each gray value of each pixel point in the image partition by adopting the corresponding filtering template to obtain each filtering gray value of each pixel point in the image partition;
the data combination equipment is connected with the partition filtering equipment and used for receiving each filtering gray value of each pixel point in each image partition and combining the filtering gray values of the pixel points in each image partition into a filtering image corresponding to the high-definition square image;
the low-frequency filtering equipment is connected with the data combination equipment and is used for receiving the filtering image and filtering low-frequency components in the filtering image to obtain a corresponding high-frequency residual image;
the threshold segmentation device is connected with the low-frequency filtering device and used for identifying each bulging pixel point in the high-frequency residual image based on a preset bulging brightness threshold range and removing isolated points in each bulging pixel point to obtain and output a bulging area;
a smoothness identification device coupled to the thresholding device for determining a surface smoothness of the glass pane based on the area of the raised region.
2. The laser beam emission based thickness measuring platform of claim 1, wherein:
in the laser matching apparatus, determining the corresponding glass thickness based on the phase difference beam number includes: and multiplying the phase difference beam number by the spacing between adjacent laser beams in the laser beams emitted by the laser emitting device to obtain the glass thickness.
3. The laser beam emission based thickness measuring platform of claim 2, wherein:
in the partition filtering device, performing filtering operation on each gray value of each pixel point in the image partition by using the corresponding filtering template includes: and aiming at each pixel point, adopting a filtering template taking the pixel point as a center to serve each pixel point in the high-definition square image as each effective pixel point, and determining the filtering gray value of the pixel point subjected to filtering operation based on each gray value of each effective pixel point.
4. The laser beam emission based thickness measuring platform of claim 3, wherein:
determining the filtering gray value of the pixel point subjected to the filtering operation based on each gray value of each effective pixel point comprises the following steps: and sequencing the gray values of the effective pixel points in a size sequence, and taking the gray value of the central serial number as the filtering gray value of the pixel point subjected to filtering operation.
5. The laser beam emission based thickness measuring platform of claim 4, wherein:
the partition filtering apparatus includes a pixel value receiving unit and a pixel value processing unit, the pixel value receiving unit being connected to the pixel value processing unit.
6. The laser beam emission based thickness measuring platform of claim 5, wherein:
the laser emitting device includes a key input device for receiving a distance between adjacent laser beams input by an inspector.
7. The laser beam emission-based thickness measuring platform of claim 6, further comprising:
and the laser driving device is connected with the laser emitting device and is used for determining the beam number of the laser beams emitted by the laser emitting device.
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---|---|---|---|---|
CN1906102A (en) * | 2004-04-10 | 2007-01-31 | 应用菲林股份有限两合公司 | Installation for processing plate-shaped substrates |
SG136848A1 (en) * | 2006-04-07 | 2007-11-29 | Nishiyama Stainless Chemical Co Ltd | Apparatus for measuring thickness of glass substrate |
CN101726253A (en) * | 2008-10-31 | 2010-06-09 | 徐熙平 | Photoelectric detection system for wall thickness of quartz tube |
CN201852563U (en) * | 2010-11-03 | 2011-06-01 | 济南德佳玻璃机器有限公司 | Detector for thickness of hollow glass and width of aluminum frame |
JP3166549U (en) * | 2010-12-27 | 2011-03-10 | ニチハ株式会社 | Plate thickness measuring device |
CN202903141U (en) * | 2012-09-21 | 2013-04-24 | 深圳职业技术学院 | Novel film thickness detection device |
CN203190948U (en) * | 2013-04-22 | 2013-09-11 | 北京京东方光电科技有限公司 | Device for detecting thickness of transparent substrate |
CN204421842U (en) * | 2015-01-06 | 2015-06-24 | 河南中原光电测控技术有限公司 | Laser light curtain measuring instrument |
CN105258645A (en) * | 2015-09-06 | 2016-01-20 | 苏州南光电子科技有限公司 | Glass thickness measurement system based on laser and CCD |
CN105606034A (en) * | 2015-10-16 | 2016-05-25 | 北京奥博泰科技有限公司 | Glass thickness detection apparatus and glass thickness detection method |
CN205210445U (en) * | 2015-11-05 | 2016-05-04 | 范师华 | Detection apparatus for a liquid crystal display panel for touch -sensitive screen production technology |
US9733067B2 (en) * | 2015-11-12 | 2017-08-15 | Taiwan Nano-Technology Application Corp | Apparatus for detecting heights of defects on optical glass |
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CN206959793U (en) * | 2017-06-21 | 2018-02-02 | 浙江龙游展宇有机玻璃有限公司 | A kind of lucite measuring thickness device |
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