CN110084780B - Ceramic tile identification lane dividing method - Google Patents
Ceramic tile identification lane dividing method Download PDFInfo
- Publication number
- CN110084780B CN110084780B CN201910222425.XA CN201910222425A CN110084780B CN 110084780 B CN110084780 B CN 110084780B CN 201910222425 A CN201910222425 A CN 201910222425A CN 110084780 B CN110084780 B CN 110084780B
- Authority
- CN
- China
- Prior art keywords
- image
- tile
- detected
- ceramic tile
- paint
- 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
- 239000000919 ceramic Substances 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 title claims abstract description 49
- 239000003973 paint Substances 0.000 claims abstract description 34
- 230000008569 process Effects 0.000 claims abstract description 26
- 238000010304 firing Methods 0.000 claims abstract description 23
- 239000011449 brick Substances 0.000 claims abstract description 22
- 239000011248 coating agent Substances 0.000 claims abstract description 17
- 238000000576 coating method Methods 0.000 claims abstract description 17
- 238000004519 manufacturing process Methods 0.000 claims abstract description 14
- 238000000926 separation method Methods 0.000 claims abstract description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000005260 corrosion Methods 0.000 claims description 2
- 230000007797 corrosion Effects 0.000 claims description 2
- 230000006872 improvement Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
Images
Classifications
-
- 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
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J3/50—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
-
- 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
-
- 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
- G06T7/45—Analysis of texture based on statistical description of texture using co-occurrence matrix computation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- 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
-
- 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
- G06T2207/30132—Masonry; Concrete
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Quality & Reliability (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a tile identification lane dividing method, which comprises the steps of setting production parameters; determining the paint color corresponding to each specification of ceramic tile; coating the side surface of the green brick after the green brick forming process or the glazing and printing process is finished with a coating with a corresponding color; waiting for the green bricks to finish the high-temperature firing process; completing the acquisition operation of a first image to be detected; positioning a paint region in a first image to be detected, and identifying color characteristics of the paint region; and determining the specification of the ceramic tile finished product according to the color characteristics of the coating area in the first image to be detected, and carrying out lane separation operation on the ceramic tile finished product. According to the invention, the side face of the ceramic tile is sprayed with the paint with the specific color before the high-temperature firing operation is performed, the side face image of the ceramic tile finished product is collected, the color characteristics of the paint area of the side face image are identified, and finally the judgment of the specification of the ceramic tile and the lane dividing operation are completed according to the identification result.
Description
Technical Field
The invention relates to the technical field of tile production, in particular to a tile identification lane dividing method.
Background
With the increasing development of the real estate market, the peripheral industry chains are rapidly driven, and the ceramic tile industry is particularly prominent.
The existing ceramic tile production process mainly comprises the following steps: firstly, a green brick forming process; secondly, glazing and printing; and a third, high-temperature firing step. In order to improve the production efficiency of the ceramic tile, the ceramic tile production enterprises often produce a plurality of ceramic tiles of different types and different specifications at the same time, so that the production enterprises are commonly provided with a plurality of green brick forming devices and glazing printing devices at the same time, but in order to save the cost of the devices to the greatest extent, the high-temperature firing devices for firing the green bricks are commonly only provided with one, and when ceramic tile products of different specifications are produced at the same time, each green brick forming device is respectively connected with each glazing printing device through a connecting rail, and each glazing printing device is respectively connected with an input port rail of the high-temperature firing device through the connecting rail, so that the ceramic tile products of different specifications can be fired at the same time, but an unavoidable problem is generated, namely, the output port rail of the high-temperature firing device outputs ceramic tile products of different specifications at the same time, so that workers need to conduct lane-dividing work on the ceramic tile products at the later stage, and the production efficiency of the ceramic tile is restricted to a certain extent. In order to solve the technical problems, the technical proposal in the prior art generally adopts a recognition method based on machine vision to carry out lane operation on the ceramic tile, but the prior technical proposal carries out image acquisition on the whole or partial ceramic tile, judges the specification of the ceramic tile by the acquired image, and has the advantages of huge whole system, long program running time, easy restriction on the carrying and moving speed of the ceramic tile and reduced production efficiency because the carrying and moving of the ceramic tile and the program recognition are carried out simultaneously.
Disclosure of Invention
The invention aims to solve the technical problems that: the tile identification lane dividing method is simple and efficient.
The invention solves the technical problems as follows:
a tile identification lane-dividing method, comprising the following steps:
step 100, setting production parameters of each green brick forming procedure and glazing and printing procedures;
step 200, determining the specifications of the ceramic tiles according to the production parameters of the mutually matched green brick forming process and the glazing and printing process, and determining the paint color corresponding to the ceramic tile of each specification according to the specifications of the ceramic tiles;
step 300, coating the side surface of the green brick after finishing the green brick forming process or the glazing and printing process with a coating with a corresponding color;
step 400, waiting for the green bricks to finish the high-temperature firing process, and outputting ceramic tile finished products;
step 500, acquiring side images of the finished ceramic tile after firing, and completing acquisition operation of a first image to be tested;
step 600, positioning a paint region in a first image to be tested, and identifying color characteristics of the paint region;
and 700, determining the specification of the finished tile product according to the color characteristics of the coating area in the first image to be detected, and carrying out lane separation operation on the finished tile product.
As a further improvement of the above technical solution, the step 500 further includes collecting the surface image of the finished tile after firing, and completing the collection operation of the second image to be tested; the step 600 further includes obtaining texture features of the second image to be measured, and in the step 700, determining specifications of the finished tile product according to the color features of the coating area in the first image to be measured and the texture features of the second image to be measured, and performing lane splitting operation on the finished tile product.
As a further improvement of the foregoing solution, the step 600 includes the steps of:
step 610, performing a preprocessing operation on the first to-be-detected image and the second to-be-detected image;
step 620, positioning and intercepting the tile area in the first image to be detected after the pretreatment operation to obtain a side image, positioning and intercepting the tile area in the second image to be detected after the pretreatment operation to obtain a surface image;
step 630, acquiring a paint region of the side image, and identifying color features of the paint region;
at step 640, texture features of the surface image are acquired.
As a further improvement of the foregoing solution, the step 610 includes the steps of:
step 611, converting the formats of the first image to be tested and the second image to be tested from the original image format to the standard image format;
step 612, performing an image histogram equalization operation on the first to-be-measured image converted into the standard image format and the second to-be-measured image converted into the standard image format; the method comprises the steps of carrying out a first treatment on the surface of the
Step 613, performing binarization operation on the first to-be-detected image after performing the image histogram equalization operation and the second to-be-detected image after performing the image histogram equalization operation respectively.
As a further improvement of the above technical scheme, step 800 is further included between the steps 400 and 500, and the cooling operation is performed on the ceramic tile finished product after the high-temperature firing process is completed.
The beneficial effects of the invention are as follows: according to the invention, the side face of the ceramic tile is sprayed with the paint with the specific color before the high-temperature firing operation, the sprayed paint color corresponds to each ceramic tile specification respectively, the ceramic tile is waited for being fired, then the side face image of the finished ceramic tile after being fired is acquired, the color characteristics of the paint area of the side face image are identified, finally the judgment of the ceramic tile specification and the lane separation operation are completed according to the identification result, the whole process is free from human intervention, the automation degree is high, and the sprayed paint position is the side face of the ceramic tile and cannot influence the surface of the ceramic tile.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is evident that the drawings described are only some embodiments of the invention, but not all embodiments, and that other designs and drawings can be obtained from these drawings by a person skilled in the art without inventive effort.
Fig. 1 is a flow chart of a first embodiment method of the present invention.
Detailed Description
The conception, specific structure, and technical effects produced by the present invention will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, features, and effects of the present invention. It is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments, and that other embodiments obtained by those skilled in the art without inventive effort based on the embodiments of the present application are within the scope of the present application. In addition, all connection relationships mentioned herein do not refer to direct connection of the components, but rather, refer to a connection structure that may be better formed by adding or subtracting connection aids depending on the particular implementation. The technical features in the invention can be interactively combined on the premise of no contradiction and conflict. Finally, it should be noted that, as the terms "center, upper, lower, left, right, vertical, horizontal, inner, outer" and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, only for convenience of description of the present technical solution and simplification of description, and do not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present application.
Referring to fig. 1, the application discloses a tile identification lane splitting method, a first embodiment of the method comprises the following steps:
step 100, setting production parameters of each green brick forming procedure and glazing and printing procedures;
step 200, determining the specifications of the ceramic tiles according to the production parameters of the mutually matched green brick forming process and the glazing and printing process, and determining the paint color corresponding to the ceramic tile of each specification according to the specifications of the ceramic tiles;
step 300, coating the side surface of the green brick after finishing the green brick forming process or the glazing and printing process with a coating with a corresponding color;
step 400, waiting for the green bricks to finish the high-temperature firing process, and outputting ceramic tile finished products;
step 500, acquiring side images of the finished ceramic tile after firing, and completing acquisition operation of a first image to be tested;
step 600, positioning a paint region in a first image to be tested, and identifying color characteristics of the paint region;
and 700, determining the specification of the finished tile product according to the color characteristics of the coating area in the first image to be detected, and carrying out lane separation operation on the finished tile product.
Specifically, the side face of the ceramic tile before the high-temperature firing operation is sprayed with the paint with the specific color, the sprayed paint color corresponds to each ceramic tile specification respectively, the ceramic tile is waited for to be fired, then the side face image of the finished ceramic tile after the firing is acquired, the color characteristics of the paint area of the side face image are identified, finally the judgment of the ceramic tile specification and the lane separation operation are completed according to the identification result, the whole process is free from human hand intervention, the automation degree is high, the position of paint spraying is the side face of the ceramic tile, and the influence on the surface of the ceramic tile is avoided. It should be noted that the coating used in this example is a high temperature resistant coating that is required to ensure that the tile does not undergo any change during the high temperature firing process.
Further, in this embodiment, the step 500 further includes collecting the surface image of the finished tile after firing, and completing the collection operation of the second image to be tested; the step 600 further includes obtaining texture features of the second image to be measured, and in the step 700, determining specifications of the finished tile product according to the color features of the coating area in the first image to be measured and the texture features of the second image to be measured, and performing lane splitting operation on the finished tile product. Specifically, if the specifications of the ceramic tiles produced at the same time are too many, the color types of the paint which can be utilized are insufficient, and in order to solve the technical problem, the color characteristics of the paint and the texture characteristics of the ceramic tiles are utilized as the basis for judging the specifications of the ceramic tiles, so that the number of the specifications of the ceramic tiles which can be judged by the technical scheme is greatly increased.
Further, in this embodiment, the step 600 includes the following steps:
step 610, performing a preprocessing operation on the first to-be-detected image and the second to-be-detected image;
step 620, positioning and intercepting the tile area in the first image to be detected after the pretreatment operation to obtain a side image, positioning and intercepting the tile area in the second image to be detected after the pretreatment operation to obtain a surface image;
step 630, acquiring a paint region of the side image, and identifying color features of the paint region;
at step 640, texture features of the surface image are acquired.
Specifically, in order to improve the accuracy of identifying the color features of the first to-be-detected image and the accuracy of identifying the texture features of the second to-be-detected image, a preprocessing operation is required to be performed on the first to-be-detected image and the second to-be-detected image, and the method specifically comprises the following steps:
step 611, converting the formats of the first image to be tested and the second image to be tested from the original image format to the standard image format;
step 612, performing an image histogram equalization operation on the first to-be-measured image converted into the standard image format and the second to-be-measured image converted into the standard image format;
step 613, performing binarization operation on the first to-be-detected image after performing the image histogram equalization operation and the second to-be-detected image after performing the image histogram equalization operation respectively.
In the step 611, format conversion needs to be performed on the first to-be-detected image and the second to-be-detected image, both of which are acquired by the camera, and the original image format acquired by the camera is not suitable for subsequent image processing, and the original image format needs to be converted into a standard image format, such as JPG format; next, performing image histogram equalization operation on the first to-be-detected image and the second to-be-detected image to enhance image contrast; finally, as the first image to be tested and the second image to be tested need to acquire the tile areas, two images need to be subjected to image binarization processing respectively so as to highlight the texture contours.
Further, in this embodiment, the step 620 needs to locate and intercept tile areas from the first to-be-detected image and the second to-be-detected image, which specifically includes performing an expansion corrosion operation on the binarized first to-be-detected image and the second to-be-detected image, then implementing edge contour detection of the tile areas through a Canny algorithm or a Sobel algorithm, and obtaining each edge point of the tile areas, thereby implementing tile area location and interception of the first to-be-detected image and the second to-be-detected image, and obtaining a side image and a surface image.
Further, in this embodiment, the step 630 is to acquire the paint region of the side image and identify the color feature of the paint region, where the step of capturing the paint region from the side image is similar to the step of capturing the tile region in step 620; and the next step is to convert the side image from an RGB color model to an HSV color model, perform histogram equalization operation on the converted side image, and finally judge that each pixel point in the side image is in a certain color interval range.
Further, in this embodiment, the step 640 needs to acquire the texture features of the surface image, and specifically may use an LBP algorithm or a gray level co-occurrence matrix algorithm to calculate the texture features of the surface image.
Further, in order to maximally improve the acquisition quality of the first image to be tested and the second image to be tested, in this embodiment, between the step 400 and the step 500, the method further includes a step 800 of cooling the tile finished product after the high-temperature firing process is completed, so that the phenomenon of light refraction occurs due to uneven air density caused by uneven temperature in the image acquisition process of the tile by the image acquisition device is prevented, and the image acquisition effect is affected.
While the preferred embodiments of the present invention have been illustrated and described, the present invention is not limited to the embodiments described above, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and these equivalent modifications and substitutions are intended to be included in the scope of the present invention as defined in the appended claims.
Claims (3)
1. The tile identifying and lane dividing method is characterized by comprising the following steps:
step 100, setting production parameters of each green brick forming procedure and glazing and printing procedures;
step 200, determining the specifications of the ceramic tiles according to the production parameters of the mutually matched green brick forming process and the glazing and printing process, and determining the paint color corresponding to the ceramic tile of each specification according to the specifications of the ceramic tiles;
step 300, coating the side surface of the green brick after finishing the green brick forming process or the glazing and printing process with a coating with a corresponding color;
step 400, waiting for the green bricks to finish the high-temperature firing process, and outputting ceramic tile finished products;
step 500, acquiring side images of the finished ceramic tile after firing, and completing acquisition operation of a first image to be tested;
step 600, positioning a paint region in a first image to be tested, and identifying color characteristics of the paint region;
step 700, determining the specification of a ceramic tile finished product according to the color characteristics of a coating area in a first image to be detected, and carrying out lane separation operation on the ceramic tile finished product;
the step 500 further includes collecting the surface image of the finished tile after firing, and completing the collection operation of the second image to be tested; the step 600 further includes obtaining texture features of the second image to be measured, and in the step 700, determining specifications of the finished tile product according to color features of the coating area in the first image to be measured and texture features of the second image to be measured, and performing lane splitting operation on the finished tile product;
the step 600 includes the steps of:
step 610, performing a preprocessing operation on the first to-be-detected image and the second to-be-detected image;
step 620, positioning and intercepting the tile area in the first image to be detected after the pretreatment operation to obtain a side image, positioning and intercepting the tile area in the second image to be detected after the pretreatment operation to obtain a surface image;
step 630, acquiring a paint region of the side image, and identifying color features of the paint region;
step 640, obtaining texture features of the surface image;
step 620 locates and intercepts tile areas from the first to-be-detected image and the second to-be-detected image respectively, and the specific steps include performing expansion corrosion operation on the preprocessed first to-be-detected image and the preprocessed second to-be-detected image, detecting edge contours of the tile areas through a Canny algorithm or a Sobel algorithm, and obtaining edge points of the tile areas to locate and intercept tile areas of the first to-be-detected image and the second to-be-detected image, so as to obtain side images and surface images;
wherein the cutting of the paint area from the side image is similar to the tile area cutting step of step 620.
2. A tile identification lane-splitting method according to claim 1, wherein: the step 610 includes the steps of:
step 611, converting the formats of the first image to be tested and the second image to be tested from the original image format to the standard image format;
step 612, performing an image histogram equalization operation on the first to-be-measured image converted into the standard image format and the second to-be-measured image converted into the standard image format; the method comprises the steps of carrying out a first treatment on the surface of the
Step 613, performing binarization operation on the first to-be-detected image after performing the image histogram equalization operation and the second to-be-detected image after performing the image histogram equalization operation respectively.
3. A tile identification lane-splitting method according to claim 1, wherein: and step 800, between the step 400 and the step 500, is further included to cool the finished tile product after the high-temperature firing process is completed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910222425.XA CN110084780B (en) | 2019-03-22 | 2019-03-22 | Ceramic tile identification lane dividing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910222425.XA CN110084780B (en) | 2019-03-22 | 2019-03-22 | Ceramic tile identification lane dividing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110084780A CN110084780A (en) | 2019-08-02 |
| CN110084780B true CN110084780B (en) | 2023-05-23 |
Family
ID=67413460
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910222425.XA Active CN110084780B (en) | 2019-03-22 | 2019-03-22 | Ceramic tile identification lane dividing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110084780B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2420644Y (en) * | 2000-04-28 | 2001-02-21 | 欧汝登 | Detector for colour, grain and pattern colour difference of brick and floor tile |
| GB0123984D0 (en) * | 2001-10-05 | 2001-11-28 | Millennium Venture Holdings Lt | Machine sensing systems and a method therefor |
| KR101294347B1 (en) * | 2012-02-20 | 2013-08-07 | 울산대학교 산학협력단 | Mehtod for brick path recognition using image shape pattern and texture feature |
| CN109117880A (en) * | 2018-08-06 | 2019-01-01 | 广东工业大学 | Tile image sorting algorithm based on WAVELET PACKET DECOMPOSITION selection coefficient weighting reconstruct |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103177261B (en) * | 2013-03-06 | 2016-02-10 | 北方民族大学 | A kind of milk production of cow automatic metering system based on image recognition technology and image-recognizing method thereof |
| US9805451B2 (en) * | 2014-06-24 | 2017-10-31 | Hover Inc. | Building material classifications from imagery |
| CN105217297B (en) * | 2015-09-14 | 2018-07-31 | 蒙娜丽莎集团股份有限公司 | Ceramic tile conveying equipment |
| CN106391510B (en) * | 2016-11-18 | 2023-11-03 | 山东爱而生智能科技有限公司 | Ceramic tile sorting device with identification function and sorting process thereof |
| CN206316042U (en) * | 2016-11-18 | 2017-07-11 | 山东爱而生智能科技有限公司 | The accurate ceramic tile sorting equipment of one kind sorting |
| CN206911750U (en) * | 2017-06-13 | 2018-01-23 | 邵伟 | A kind of ceramic tile visual identity sorting system |
| CN207357616U (en) * | 2017-10-12 | 2018-05-15 | 广东冠星陶瓷企业有限公司 | A kind of full-automatic separated time output device of multistation different size ceramic tile |
| CN108399621B (en) * | 2018-03-29 | 2023-10-13 | 招商局重庆交通科研设计院有限公司 | Engineering test piece rapid identification method and system |
| CN208390457U (en) * | 2018-04-24 | 2019-01-18 | 佛山市汇创科技有限公司 | A kind of online system of vision automatic recognition of ceramic tile sorting |
-
2019
- 2019-03-22 CN CN201910222425.XA patent/CN110084780B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2420644Y (en) * | 2000-04-28 | 2001-02-21 | 欧汝登 | Detector for colour, grain and pattern colour difference of brick and floor tile |
| GB0123984D0 (en) * | 2001-10-05 | 2001-11-28 | Millennium Venture Holdings Lt | Machine sensing systems and a method therefor |
| KR101294347B1 (en) * | 2012-02-20 | 2013-08-07 | 울산대학교 산학협력단 | Mehtod for brick path recognition using image shape pattern and texture feature |
| CN109117880A (en) * | 2018-08-06 | 2019-01-01 | 广东工业大学 | Tile image sorting algorithm based on WAVELET PACKET DECOMPOSITION selection coefficient weighting reconstruct |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110084780A (en) | 2019-08-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109141232B (en) | Online detection method for disc castings based on machine vision | |
| CN109900711A (en) | Workpiece, defect detection method based on machine vision | |
| CN106599890B (en) | digital instrument recognition algorithm for substation inspection robot | |
| CN106383121B (en) | It is a kind of can adaptive multi-brand visible detection method and system | |
| CN104458748A (en) | Aluminum profile surface defect detecting method based on machine vision | |
| CN104949990A (en) | Online detecting method suitable for defects of woven textiles | |
| CN112184648A (en) | Piston surface defect detection method and system based on deep learning | |
| CN105865329A (en) | Vision-based acquisition system for end surface center coordinates of bundles of round steel and acquisition method thereof | |
| WO2021135675A1 (en) | Automatic bar counting method and apparatus | |
| CN106097368A (en) | A kind of recognition methods in veneer crack | |
| CN105719280A (en) | P-type gluing visual detection method | |
| CN106807801B (en) | A kind of high speed fine machine die surface waste material intelligent on-line detection method and device | |
| CN115345876B (en) | Bolt thread defect detection method based on ultrasonic image | |
| CN115308222B (en) | System and method for identifying poor chip appearance based on machine vision | |
| CN109461156B (en) | Threaded sealing plug assembly detection method based on vision | |
| CN104952754A (en) | Coated silicon chip sorting method based on machine vision | |
| CN110084587B (en) | Automatic dinner plate settlement method based on edge context | |
| CN109308707B (en) | Non-contact type online measuring method for thickness of aluminum ingot | |
| CN114155226A (en) | Micro defect edge calculation method | |
| CN110084780B (en) | Ceramic tile identification lane dividing method | |
| CN111539951B (en) | Visual detection method for outline size of ceramic grinding wheel head | |
| CN106169079B (en) | A kind of pressure vessel quantity recognition methods based on computer vision | |
| CN108898080B (en) | Ridge line neighborhood evaluation model-based crack connection method | |
| CN113705487B (en) | Precision workpiece identification and technological parameter association system and identification method | |
| CN113744263B (en) | Method for rapidly detecting surface defects of small-size mosaic ceramic |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |