CN101149291A - Printing dye aberration on-line detection method of machine vision system - Google Patents

Printing dye aberration on-line detection method of machine vision system Download PDF

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Publication number
CN101149291A
CN101149291A CNA200710135140XA CN200710135140A CN101149291A CN 101149291 A CN101149291 A CN 101149291A CN A200710135140X A CNA200710135140X A CN A200710135140XA CN 200710135140 A CN200710135140 A CN 200710135140A CN 101149291 A CN101149291 A CN 101149291A
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value
aberration
image
dyeing
cloth
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CN100561146C (en
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董仲伟
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Wuxi Zhongwang Siwei Technology Co Ltd
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WUXI DONGWANG TECHNOLOGY Co Ltd
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Abstract

The invention is the online detection method of the machine vision system to the printing and dyeing color difference. It can solve the big working strength and the bad detection quality of detecting the color difference by human. The invention makes the standard image module of the detecting print-dyeing color difference according to the client sampling cloth, which the RGB value, saturation value and color value are as the standard value of detecting dyeing color difference; it uses the national nine-degree colorimetric card as the standard of dyeing color difference; the RGB value, saturation value and color value are set as the detection parameters and it sets the parameter precision range according to the user need. While the environment light changing, the invention can compensate the light strength of shoot image automatically to determine the production dyeing color difference precisely. The invention meets the practical condition of the user dyeing color difference detection and improves the precision and detection speed of the color difference detection.

Description

Vision Builder for Automated Inspection is to the online test method of printing dye aberration
Technical field
The present invention relates to utilize Vision Builder for Automated Inspection to carry out the technical field of online detection, relate in particular to, utilize Vision Builder for Automated Inspection that the dyeing cloth printing dye aberration is carried out on-line detection method in printing dye cloth production scene.
Background technology
At the workshop scene of line production printing dye cloth, need carry out online detection to the dyeing cloth printing dye aberration.In the prior art, online detection dependence to the calico printing dye aberration manually detects, use the dye aberration (it is poor also to cry in the limit) of artificial and manual contrast cloth left, center, right at padding mangle cropping place, judge dye aberration by international standard colorimetric card (totally nine grades), the error of its permission is generally half grade of value of chromatism.As for the front and back aberration, a difference of printing and dyeing cloth, batch difference etc. all is manual record, and carries out the off-line type comparison and detection with the colorimetric case, and leading indicator is the colourity and the saturation degree difference of dyeing cloth.The shortcoming that manual detection exists has: on-the-spot humiture is very high, and workman's testing environment is abominable, and labour intensity is big; The workman works long hours and is easy to generate visual fatigue, can't guarantee to detect quality, therefore can't guarantee the qualification rate of product export; Need often carry out in the limit desk checking of difference, can't the online detection of continuity; Can't quantize examination criteria, entirely with artificial estimation, the testing staff is difficult to accurately to judge the aberration of cloth front-end and back-end, with the aberration of the cloth of the same race of aberration between batch different cloth and different batches, so accuracy of detection is low.
Summary of the invention
Online detection dependence to printing dye aberration manually detects at prior art, accuracy of detection is low, can't the online detection of continuity, labour intensity is big, can't guarantee to detect quality and the low problem of product export qualification rate, the invention provides the online test method of a kind of Vision Builder for Automated Inspection to printing dye aberration, it reduces workman's detection labour intensity greatly, the degree of accuracy height that dye aberration detects, the qualification rate of the product that can effectively guarantee to dispatch from the factory.
The technical scheme of the inventive method is as follows:
Vision Builder for Automated Inspection may further comprise the steps the online test method of printing dye aberration:
(1). according to the requirement of user, adjust aperture size, time shutter and amount of gain that industrial picture is taken camera, so that obtain photographic images clearly to dyeing cloth printing color and fineness;
(2). with nine grades of colorimetric cards of white light international standard, start industrial camera by external trigger and control signal and take nine grades of colorimetric cards of international standard, obtain rgb value, intensity value and the chromatic value of nine grades of colorimetric card image look aberration at different levels, as the tolerance reference value of judging printing dye cloth aberration;
(3). start described industrial camera by external trigger and control signal and take the print and dye image of sample cloth printing dye of client, rgb value, intensity value and the chromatic value of image are stored in computing machine, as the template of rgb value, intensity value and the chromatic value of dyeing cloth dyeing;
(4). with rgb value, intensity value and chromatic value, be set at the detection parameter of dyeing cloth printing dye aberration, and the accuracy rating of described detection parameter is set according to customer requirements;
(5) start the image that described shooting camera is taken on-line operation dyeing cloth printing dye in real time by external trigger and control signal, and the image of taking is transferred to computing machine for detecting;
(6). print and dye rgb value, intensity value and the chromatic value of sample cloth image of rgb value, intensity value and the chromatic value that a certain location drawing picture of dyeing cloth in real time taken for (5) step by computing machine and the client of (3) step acquisition compares respectively, analyzes, differentiates, determine both differences respectively, the aberration that detects outside the parameter accuracy rating if any (4) step occurs, then by the computer starting warning device, alert is handled the aberration of printing dye, continues the operation in (5) step afterwards; As do not have (4) the aberration appearance that goes on foot outside the detection parameter accuracy rating, then directly continue the operation in (5) step.
Its further technical scheme is:
The image that described (5) step is taken in real time at first carries out the automatic compensation of light intensity by following step:
The gradation of image mean value of described real-time photographic images of (5) step and the gradation of image mean value of described (3) step standard picture template are compared, variation has taken place as gradation of image mean value, then the gradation of image mean value with described reference image template multiply by the luminosity compensation coefficient automatically, be stored in computing machine as new standard picture template, enter described (6) step again, contrast is used when detecting the dyeing cloth printing dye aberration for (6) step; Do not change as gradation of image mean value, then directly enter described (6) step.
The technique effect of the inventive method:
The present invention adopts Vision Builder for Automated Inspection that the dyeing cloth printing dye aberration is carried out online detection, replace manual detection, as the aberration outside the detection parameter accuracy rating that occurs being provided with occurs, then in image, identify the position of dye aberration by the friendly man-machine interface of computer screen, and give the acousto-optic electric alarm, alert is carried out the processing of dye aberration, reduces workman's detection labour intensity greatly; Sample cloth according to the needs production that the client provided, make the template that detects the dyeing cloth printing dye aberration, with its rgb value, intensity value and chromatic value are as detecting correlative value, be stored in computing machine, rather than the model storehouse of the dye aberration of foundation complexity in advance is as detecting correlative value, and with the rgb value of nine grades of colorimetric cards of international standard tolerance benchmark, intensity value and chromatic value are as benchmark, identify the grade that detects dyeing cloth color and client's sample cloth color aberration in real time, so be more suitable for the actual requirement that the user detects the dyeing cloth dye aberration, improve the accuracy that the dyeing cloth dye aberration is detected; With rgb value, intensity value and chromatic value, be set at the detection parameter of dyeing cloth printing dye aberration, and the accuracy rating of described detection parameter be set, and avoid setting up the detection parameter of complicated dye aberration according to customer requirements, effectively improve detection speed; When surround lighting changed, the inventive method was carried out the automatic compensation of light intensity to the image that receives the operation dyeing cloth, thereby can effectively improve the accuracy that the dyeing cloth dye aberration is detected.
Description of drawings
Fig. 1 is a process sequence diagram of the present invention.
Embodiment
Below according to processing step of the present invention shown in Figure 1, the online detection of dyeing cloth printing dye aberration is given an example, further specify the inventive method.
Embodiment 1, to the detection of dyeing cloth left, center, right dye aberration (it is poor to be called again in left, center, right difference or the limit):
A. detect cloth: the red textile dyeing cloth that is adopted as certain client's production detects cloth for embodiment.
B. picture-taking camera: Beijing new era MVC2000DA-GE16CCD industry colour TV camera is fixed on 50cm place directly over the dyeing cloth, camera uses 8mmCOMPUTAR type camera lens, aperture is transferred to maximal value, time shutter is adjusted to 0.58ms, and yield value (the contrast effect of its decision image) is adjusted to 0; Adopt and richly to look BS2007LED white light (2001ux) light source and be fixed on 50cm place, dyeing cloth back upper place (45 ° of incident angles), so that to the dye aberration irradiation sensitivity of cloth; Three above-mentioned cameras and light supply apparatus are separately fixed at three positions, left, center, right (each cover) at dyeing cloth cropping place, and it is 100m/min that dyeing cloth is walked cloth speed.The power supply of radiation source is the dc constant voltage constant current source, and radiation source is not for there being the stabilized light source that becomes frequently, so that can photograph the dyeing cloth printing dye aberration more stablely.
C. the tolerance reference value of setpoint color grade: at the detection of the textile dyeing cloth of redness, with the rich redness card of looking nine grades of colorimetric cards of BS2007LED white light source irradiation international standard, the rgb value that obtains red ratio colour atla look aberration at different levels (half grade of aberration) is respectively (R35, G9, B12), intensity value be respectively 23 and chromatic value be respectively 18, the tolerance reference value as judging the dyeing cloth dye aberration is stored in computing machine;
D. set the qualified accuracy rating of dye aberration: the detection parameter that rgb value, intensity value and chromatic value is set at the dyeing cloth printing dye aberration, and set: with rgb value, intensity value and the chromatic value in half grade of aberration scope of nine grades of colorimetric cards tolerance of international standard reference value, as judging qualified accuracy rating or the critical field of dyeing cloth dye aberration according to customer requirements;
E. set up the standard picture template of client's sample cloth color: the image of taking the red textile printing and dyeing sample cloth of the needs production that the client provided, rgb value (R174 with image, G27, B53), intensity value (89) and chromatic value (67) be stored in computing machine, as the standard picture template of the qualified sample cloth of client color;
F. control described shooting camera by outer triggering signal, the camera that is installed on above-mentioned three positions is taken the image of on-line operation dyeing cloth in real time, and the image of taking is transferred to computing machine, and the image of taking is at first carried out the automatic compensation of light intensity by following step:
The light intensity (217) that the light intensity (250) of the real-time photographic images of camera of three positions and above-mentioned E step are taken the standard picture template compares respectively, variation has taken place in light intensity as can be known, then respectively the light intensity of described real-time photographic images be multiply by luminosity compensation coefficient (250/217) automatically, be stored in computing machine as new standard picture template, contrast is used when detecting for on-line operation dyeing cloth printing dye aberration, continues to enter following G step then.(do not change as light intensity, then needn't carry out the automatic compensation of light intensity, directly enter following G step)
G. be installed on a left side, in, the camera of right three positions continues to take in real time respectively the image of on-line operation dyeing cloth, as carried out the automatic compensation of light intensity, then will obtain the rgb value (R217 of certain X location drawing picture, G32, B68), intensity value (105) and chromatic value (94) value go on foot the new standard picture template that obtains with F respectively and compare, analyze and differentiation, as do not carry out the automatic compensation of light intensity, then will obtain the rgb value (R217 of image, G32, B68), intensity value (105) and chromatic value (94) value go on foot the standard picture template that obtains with E respectively and compare, analyze and differentiation; Wherein (as the R difference is 217-174=43>35 to the difference of rgb value, intensity value and the chromatic value of the printing and dyeing sample cloth of the rgb value of certain X position, intensity value, chromatic value and E step acquisition above the qualified accuracy rating of the judgement dyeing cloth dye aberration of above-mentioned D step setting, the G difference is 32-27=5<9, the B difference is 68-53=15>12, the saturation degree difference is 105-89=16<23, and the colourity difference is 94-67=27>18; Go on foot described comparison with above-mentioned C step, D, as can be known wherein R value, B value, chromatic value all greater than the permission accuracy rating of half grade of aberration setting), it is defective then to belong to the left, center, right dye aberration, computer control acousto-optic electric alarm, the operator handles the underproof cloth of dye aberration, continues the F operation in step afterwards; As not surpassing the qualified critical field of aberration of above-mentioned C step, D step setting, then continue the F operation in step.
The control system (hardware and software) of the image capture device that uses in the present embodiment (camera, radiation source, power supply, image pick-up card etc.) and storage device (hard disk, CD, USB flash disk, floppy disk), image processing equipment (hardware of image processor and software), image display (display), warning device and each part mentioned above all adopts prior art to design and produce or directly adopts the commercially available prod, the Related product that for example DVT, SONY, Siemens, NI, CCS, Xi'an Fang Cheng, Beijing are littlely looked, the big identical company in Beijing produces.
Embodiment 2, to the detection of dye aberrations before and after the dyeing cloth (poor before and after being called again):
Checkout equipment and method step are identical with embodiment 1, difference only is the rgb value (174 with printing dye cloth front end (stained clot-h that just begins normal dyeing that finger mark is dyed cloth) color, 27,53), intensity value (89) and chromatic value (67) are stored in computing machine.With the dye rgb value (183 of rear end (stained clot-h when finger mark is dyed cloth fast the end) color of dyeing cloth, 31,68), intensity value (96) and chromatic value (99) value are analyzed differentiation, (as the R difference is 183-174=9<35 to the qualified critical field of judgement dyeing cloth dye aberration that the difference of rgb value wherein, intensity value, chromatic value was set above the above-mentioned D step, the G difference is 31-27=4<9, the B difference is 68-53=15>12, the saturation degree difference is 96-89=7<23, and the colourity difference is 99-67=32>18; Wherein B value, chromatic value are all greater than the permission accuracy rating of half grade of aberration), dye aberration is defective before and after then belonging to, computer control acousto-optic electric alarm, the operator handles the underproof cloth of dye aberration, continues the F operation in step afterwards; As the aberration scope of the image template that is not above standard, then continue the F operation in step.Other explanations are identical with embodiment 1.
Embodiment 3, to dyeing cloth and between the detection of dye aberration (claiming batch a difference or a difference again):
Checkout equipment and method step are identical with embodiment 1, press method described in embodiment 1 and the embodiment 2, will be through the left, center, right dye aberration, whole of front and back dye aberration detection is qualified, and the left, center, right that is the dyeing cloth of standard value is (or preceding, the back) rgb value of position, intensity value, chromatic value is stored in the computing machine, (or preceding as the left, center, right that difference of the same race is criticized or same batch different dresser lines are dyed cloth, the back) the standard picture template of dye aberration, the image that different dresser lines are dyed cloth is criticized or criticized together to shooting on-line operation difference of the same race in real time, if the rgb value of wherein any two positions occurs, intensity value, the difference of chromatic value surpasses the aberration scope of above-mentioned standard picture template, the printing dye aberration that then belongs between difference of the same race is criticized or batch different dresser lines are dyed cloth together is defective, carry out the acousto-optic electric alarm, requirement is carried out PROCESS FOR TREATMENT to defective cloth, continues the operation that detects afterwards.Other explanations are identical with embodiment 1.

Claims (2)

1. Vision Builder for Automated Inspection is characterized in that may further comprise the steps to the online test method of printing dye aberration:
(1). according to the requirement of user, adjust aperture size, time shutter and amount of gain that industrial picture is taken camera, so that obtain photographic images clearly to dyeing cloth printing color and fineness;
(2). with nine grades of colorimetric cards of white light international standard, start industrial camera by external trigger and control signal and take nine grades of colorimetric cards of international standard, obtain rgb value, intensity value and the chromatic value of nine grades of colorimetric card image look aberration at different levels, as the tolerance reference value of judging printing dye cloth aberration;
(3). start described industrial camera by external trigger and control signal and take the print and dye image of sample cloth printing dye of client, rgb value, intensity value and the chromatic value of image are stored in computing machine, as the template of rgb value, intensity value and the chromatic value of dyeing cloth dyeing;
(4). with rgb value, intensity value and chromatic value, be set at the detection parameter of dyeing cloth printing dye aberration, and the accuracy rating of described detection parameter is set according to customer requirements;
(5) start the image that described shooting camera is taken on-line operation dyeing cloth printing dye in real time by external trigger and control signal, and the image of taking is transferred to computing machine for detecting;
(6). print and dye rgb value, intensity value and the chromatic value of sample cloth image of rgb value, intensity value and the chromatic value that a certain location drawing picture of dyeing cloth in real time taken for (5) step by computing machine and the client of (3) step acquisition compares respectively, analyzes, differentiates, determine both differences respectively, the aberration that detects outside the parameter accuracy rating if any (4) step occurs, then by the computer starting warning device, alert is handled the aberration of printing dye, continues the operation in (5) step afterwards; As do not have (4) the aberration appearance that goes on foot outside the detection parameter accuracy rating, then directly continue the operation in (5) step.
2. by the online test method of the described Vision Builder for Automated Inspection of claim 1, it is characterized in that the image that described (5) step takes is in real time at first carried out the automatic compensation of light intensity by following step to printing dye aberration:
The gradation of image mean value of described real-time photographic images of (5) step and the gradation of image mean value of described (3) step standard picture template are compared, variation has taken place as gradation of image mean value, then the gradation of image mean value with described reference image template multiply by the luminosity compensation coefficient automatically, be stored in computing machine as new standard picture template, enter described (6) step again, contrast is used when detecting the dyeing cloth printing dye aberration for (6) step; Do not change as gradation of image mean value, then directly enter described (6) step.
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Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN108374261B (en) * 2018-05-09 2023-09-22 浙江工业大学之江学院 Warp beam dyeing system with color detection equipment and use method thereof
CN108374261A (en) * 2018-05-09 2018-08-07 浙江工业大学之江学院 A kind of yarn warp dyeing system and its application method with color detection equipment
US11270152B2 (en) 2018-05-25 2022-03-08 Boe Technology Group Co., Ltd. Method and apparatus for image detection, patterning control method
CN109000887A (en) * 2018-05-25 2018-12-14 京东方科技集团股份有限公司 A kind of pattern detection device and method, pattern networked control systems and method
CN110031461A (en) * 2019-02-14 2019-07-19 江苏恒力化纤股份有限公司 A kind of polyester filament dye uniformity test method
CN110031461B (en) * 2019-02-14 2022-03-18 江苏恒力化纤股份有限公司 Polyester filament yarn dyeing uniformity test method
CN110541266A (en) * 2019-08-29 2019-12-06 颜英说 cloth dyeing on-line control equipment and cloth dyeing on-line control method thereof
CN110646352A (en) * 2019-10-18 2020-01-03 江南大学 Method for identifying different-color spun yarn bobbin
CN110646352B (en) * 2019-10-18 2021-07-23 江南大学 Method for identifying different-color spun yarn bobbin
CN112649447A (en) * 2020-12-30 2021-04-13 浙江久大纺织科技有限公司 Fabric printing detection method based on color matrix
CN112697716A (en) * 2020-12-30 2021-04-23 浙江久大纺织科技有限公司 Printing quality detection method for complex pattern of printed fabric
CN114964594A (en) * 2022-04-28 2022-08-30 海门市恒昌织带有限公司 Safety braid dyeing quality detection method based on industrial data processing
CN117726622A (en) * 2024-02-07 2024-03-19 武汉船舶职业技术学院 Computer control method and system for tie-dyeing process
CN117726622B (en) * 2024-02-07 2024-04-30 武汉船舶职业技术学院 Computer control method and system for tie-dyeing process

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