CN108896561A - A kind of textile cloth detection method based on multithreading machine vision - Google Patents
A kind of textile cloth detection method based on multithreading machine vision Download PDFInfo
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- CN108896561A CN108896561A CN201810746728.7A CN201810746728A CN108896561A CN 108896561 A CN108896561 A CN 108896561A CN 201810746728 A CN201810746728 A CN 201810746728A CN 108896561 A CN108896561 A CN 108896561A
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- reference value
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- light tone
- area
- textile cloth
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Abstract
The present invention relates to a kind of detection methods of weaving sewing cloth, including：The adjacent sewing hole interdigit of established standards two apart from a reference value, established standards are sewed the area a reference value of hole location；Image is acquired using CCD camera, the image of acquisition is subjected to data and is converted to pixel data；Resulting pixel data is subjected to gray value processing, the hole location on textile cloth is shown as light tone spot, and records the coordinate value of each light tone spot；The distance of two neighboring light tone spot is measured, the distance is judged as no marking if the distance is greater than apart from a reference value compared with apart from a reference value；The area of the light tone spot and the size of area a reference value are compared, if the area is less than area a reference value, determines the hole location wire jumper；Result handled by step 4 is transmitted to computer, and computer controls mechanism for sorting and wire jumper product, no marking product are pushed into region to be checked.The present invention solves the problems, such as visual inspection cloth wire jumper or no marking, and work efficiency is high, and accuracy rate is high.
Description
Technical field
The present invention relates to technical field of machine vision, in particular to a kind of detection method of textile cloth.
Background technique
Whether the detection detection method used at present of wire jumper is artificial detection in the process for cloth weaving sewing, and cloth passes through
Since external cause has the risk of wire jumper after sewing, product service life drop will lead to for this reason in use process
Low, effect is deteriorated.It has special testing staff after production is completed with the naked eye to detect this batch of product, one day
Detection number hundreds of thousands of time or so, detection efficiency is it may be said that very low, and False Rate also remains high, to enterprise
Productivity effect and public praise cause very bad influence.It would therefore be highly desirable to propose a kind of wire jumper automatic detection device to solve this ask
Topic.
Summary of the invention
Whether the detection detection method used at present of wire jumper or no marking is artificial detection, cloth in cloth fabrication processes
Since external cause has the risk of wire jumper or no marking after sewing, production will lead to for this reason in use process
Product service life reduces, and effect is deteriorated.To solve the above problems, the present invention provides, a kind of detection efficiency is high, and detection effect is good
Textile cloth detection method, to achieve the above object, the present invention use following technical scheme：One kind being based on multithreading machine vision
Textile cloth detection method, include the following steps：
Step 1：The adjacent sewing hole interdigit of established standards two apart from a reference value, set the area base of a standard sewing hole location
Quasi- value；
Step 2：Image is acquired using CCD camera, the image of acquisition is subjected to data conversion by computer and is converted to pixel
Data；
Step 3：The resulting pixel data of step 2 is subjected to gray value processing, the hole location on textile cloth is shown as light tone spot
Point, and record the coordinate value of each light tone spot；
Step 4：By light tone spot described in step 3, by the direction of X-axis, from left to right successively sequence is got up, and measures adjacent two
The distance of a light tone spot, the distance are judged as leakage if the distance is greater than apart from a reference value compared with apart from a reference value
It beats；The size between the area and area a reference value of light tone spot described in step 3 is compared, if the area is less than area benchmark
Value, then determine the hole location wire jumper；
Step 5：Result handled by step 4 is transmitted to computer, and computer controls mechanism for sorting and produces wire jumper product, no marking
Product are pushed into region to be checked.
It preferably, further include that wire jumper/no marking picture after the step 5 saves.
Preferably, the gray value processing includes the following steps：
（1）The a reference value of selected standard sewing hole location light tone spot, sets a threshold value；
（2）Difference Calculation, gained are carried out to a reference value of the sum of the grayscale values standard sewing hole location light tone spot of the pixel data
It selects absolute value to be less than the pixel of the threshold value in the result of Difference Calculation, is shown as light tone spot；
（3）To step（2）Resulting image setting yield value is handled, contrast is improved.
Preferably, the gray scale a reference value is the gray value in range, and the yield value is 2 times.
Preferably, the threshold value is 10-30.
Preferably, maximum is transferred in the exposure of the CCD camera camera lens when CCD camera acquisition image.
Preferably, further include on lathe setting one normal place point, setting one CCD camera with it is described
The gauged distance of normal place point, be arranged CCD camera described in a phase machine testing between the normal place point at a distance from, institute
Computer control executive component is corrected automatically when stating distance and the inconsistent gauged distance.
The technical solution adopted by the present invention solves the problems, such as visual inspection cloth wire jumper or no marking, working efficiency
Height, accuracy rate are high.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with specific embodiment, it is clear that described
Embodiment be only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, originally
Field technical staff obtains every other embodiment under the premise of not making any creative work, belongs to guarantor of the present invention
The range of shield.
It is high that the present invention provides a kind of detection efficiency, the good textile cloth detection method of detection effect, to achieve the above object,
The present invention uses following technical scheme：A kind of textile cloth detection method based on multithreading machine vision, includes the following steps：
Step 1：The adjacent sewing hole interdigit of established standards two apart from a reference value, set the area base of a standard sewing hole location
Quasi- value；
Step 2：Image is acquired using CCD camera, the image of acquisition is subjected to data conversion by computer and is converted to pixel
Data；
Step 3：The resulting pixel data of step 2 is subjected to gray value processing, the hole location on textile cloth is shown as light tone spot
Point, and record the coordinate value of each light tone spot；
Step 4：By light tone spot described in step 3, by the direction of X-axis, from left to right successively sequence is got up, and measures adjacent two
The distance of a light tone spot, the distance are judged as leakage if the distance is greater than apart from a reference value compared with apart from a reference value
It beats；The size between the area and area a reference value of light tone spot described in step 3 is compared, if the area is less than area benchmark
Value, then determine the hole location wire jumper；
Step 5：Result handled by step 4 is transmitted to computer, and computer controls mechanism for sorting and produces wire jumper product, no marking
Product are pushed into region to be checked.
It preferably, further include that wire jumper/no marking picture after the step 5 saves.
Preferably, the gray value processing includes the following steps：
（1）The a reference value of selected standard sewing hole location light tone spot, sets a threshold value；
（2）Difference Calculation, gained are carried out to a reference value of the sum of the grayscale values standard sewing hole location light tone spot of the pixel data
It selects absolute value to be less than the pixel of the threshold value in the result of Difference Calculation, is shown as light tone spot；
（3）To step（2）Resulting image setting yield value is handled, contrast is improved.
Preferably, the gray scale a reference value is the gray value in range, and the yield value is 2 times.
Preferably, the threshold value is 10-30.
Preferably, maximum is transferred in the exposure of the CCD camera camera lens when CCD camera acquisition image.
Preferably, further include on lathe setting one normal place point, setting one CCD camera with it is described
The gauged distance of normal place point, be arranged CCD camera described in a phase machine testing between the normal place point at a distance from, institute
Computer control executive component is corrected automatically when stating distance and the inconsistent gauged distance.
The technical solution adopted by the present invention solves the problems, such as visual inspection cloth wire jumper or no marking, working efficiency
Height, accuracy rate are high.
Claims (7)
1. a kind of textile cloth detection method based on multithreading machine vision, includes the following steps：
Step 1：The adjacent sewing hole interdigit of established standards two apart from a reference value, set the area base of a standard sewing hole location
Quasi- value；
Step 2：Image is acquired using CCD camera, the image of acquisition is subjected to data conversion by computer and is converted to pixel
Data；
Step 3：The resulting pixel data of step 2 is subjected to gray value processing, the hole location on textile cloth is shown as light tone spot
Point, and record the coordinate value of each light tone spot；
Step 4：By light tone spot described in step 3, by the direction of X-axis, from left to right successively sequence is got up, and measures adjacent two
The distance of a light tone spot, the distance are judged as leakage if the distance is greater than apart from a reference value compared with apart from a reference value
It beats；The size between the area and area a reference value of light tone spot described in step 3 is compared, if the area is less than area benchmark
Value, then determine the hole location wire jumper；
Step 5：Result handled by step 4 is transmitted to computer, and computer controls mechanism for sorting and produces wire jumper product, no marking
Product are pushed into region to be checked.
2. a kind of textile cloth detection method based on multithreading machine vision as described in claim 1, it is characterised in that also
It is saved including the wire jumper after step 5/no marking picture.
3. a kind of textile cloth detection method based on multithreading machine vision as described in claim 1, it is characterised in that institute
Gray value processing is stated to include the following steps：
The a reference value of selected standard sewing hole location light tone spot, sets a threshold value；
Difference Calculation, gained difference are carried out to a reference value of the sum of the grayscale values standard sewing hole location light tone spot of the pixel data
It selects absolute value to be less than the pixel of the threshold value in the result of calculating, is shown as light tone spot；
To step（2）Resulting image setting yield value is handled, contrast is improved.
4. a kind of textile cloth detection method based on multithreading machine vision as claimed in claim 3, it is characterised in that institute
Stating gray scale a reference value is the gray value in range, and the yield value is 2 times.
5. a kind of textile cloth detection method based on multithreading machine vision as described in claim 1, it is characterised in that institute
Stating threshold value is 10-30.
6. a kind of textile cloth detection method based on multithreading machine vision as described in claim 1, it is characterised in that institute
Maximum is transferred in the exposure of the CCD camera camera lens when stating CCD camera acquisition image.
7. a kind of textile cloth detection method based on multithreading machine vision as described in claim 1, it is characterised in that also
Including a normal place point is arranged on lathe, the normal pitch of the CCD camera and the normal place point is set
From, be arranged CCD camera described in a phase machine testing between the normal place point at a distance from, the distance and the normal pitch
From it is inconsistent when computer control executive component correct automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810746728.7A CN108896561B (en) | 2018-07-09 | 2018-07-09 | Textile fabric detection method based on multi-thread machine vision |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810746728.7A CN108896561B (en) | 2018-07-09 | 2018-07-09 | Textile fabric detection method based on multi-thread machine vision |
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| CN108896561A true CN108896561A (en) | 2018-11-27 |
| CN108896561B CN108896561B (en) | 2021-04-06 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067089A (en) * | 2019-04-28 | 2019-07-30 | 季华实验室 | Detection unit for fabric sewing quality testing |
| CN115588010A (en) * | 2022-12-09 | 2023-01-10 | 滨州华然化纤绳网有限公司 | Surface defect detection method for non-woven fabric |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002088641A (en) * | 2000-09-13 | 2002-03-27 | Toyota Central Res & Dev Lab Inc | Woven fabric inspector |
| JP2008020321A (en) * | 2006-07-13 | 2008-01-31 | Purex:Kk | Flaw cloth piece detector with flaw marking device |
| CN101387493A (en) * | 2008-07-10 | 2009-03-18 | 长春理工大学 | Shape and position dimension non-contact photoelectric detection method for pylon component hole |
| CN107016664A (en) * | 2017-01-18 | 2017-08-04 | 华侨大学 | A kind of bad pin flaw detection method of large circle machine |
| CN107328793A (en) * | 2017-06-30 | 2017-11-07 | 航天新长征大道科技有限公司 | A kind of ornaments surface word print flaw detection method and device based on machine vision |
| CN107328775A (en) * | 2017-06-23 | 2017-11-07 | 广东小天才科技有限公司 | Method for detecting abnormality and device during a kind of automatic screw machine mounting screw |
-
2018
- 2018-07-09 CN CN201810746728.7A patent/CN108896561B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002088641A (en) * | 2000-09-13 | 2002-03-27 | Toyota Central Res & Dev Lab Inc | Woven fabric inspector |
| JP2008020321A (en) * | 2006-07-13 | 2008-01-31 | Purex:Kk | Flaw cloth piece detector with flaw marking device |
| CN101387493A (en) * | 2008-07-10 | 2009-03-18 | 长春理工大学 | Shape and position dimension non-contact photoelectric detection method for pylon component hole |
| CN107016664A (en) * | 2017-01-18 | 2017-08-04 | 华侨大学 | A kind of bad pin flaw detection method of large circle machine |
| CN107328775A (en) * | 2017-06-23 | 2017-11-07 | 广东小天才科技有限公司 | Method for detecting abnormality and device during a kind of automatic screw machine mounting screw |
| CN107328793A (en) * | 2017-06-30 | 2017-11-07 | 航天新长征大道科技有限公司 | A kind of ornaments surface word print flaw detection method and device based on machine vision |
Non-Patent Citations (2)
| Title |
|---|
| M.JMALI ET AL.: "Fabrics defects detecting using image processing and neural networks", 《2014 INFORMATION AND COMMUNICATION TECHNOLOGIES INNOVATION AND APPLICATION (ICTIA)》 * |
| SUN YAO ET AL.: "Detection of Weft Knitting Fabric Defects Based on Windowed Texture Information And Threshold Segmentation by CNN", 《2009 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067089A (en) * | 2019-04-28 | 2019-07-30 | 季华实验室 | Detection unit for fabric sewing quality testing |
| CN110067089B (en) * | 2019-04-28 | 2020-12-22 | 季华实验室 | Detection unit for detecting sewing quality of fabric |
| CN115588010A (en) * | 2022-12-09 | 2023-01-10 | 滨州华然化纤绳网有限公司 | Surface defect detection method for non-woven fabric |
| CN115588010B (en) * | 2022-12-09 | 2023-06-02 | 滨州华然化纤绳网有限公司 | Surface defect detection method for non-woven fabric |
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| CN108896561B (en) | 2021-04-06 |
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