CN106596568A - Real-time non-contact yarn breakage detection method based on line laser - Google Patents
Real-time non-contact yarn breakage detection method based on line laser Download PDFInfo
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Abstract
The invention relates to a real-time non-contact yarn breakage detection method based on a line laser, belongs to the technical field of textile detection, and is used for solving the problems that a conventional yarn breakage detection system or method cannot achieve real-time detection on breakage of a plurality of yarns. The method comprises the steps: irradiating to-be-detected yarns with a line laser light source, acquiring a yarn image of an irradiated position by a line-scan camera, allowing a computer to obtain the yarn image acquired by the line-scan camera through a data line, then processing and analyzing the acquired yarn image by an image processing algorithm, detecting the number of the yarns in the image, comparing with the pre-input number of yarns, determining whether breakage is generated in the textile process, and outputting the result to a controller, and allowing a textile machine to carry out a series of operations. With use of the line-scan camera for acquiring the image, the comparison between the yarns and the background is obvious, the image is simple, the size of the image can be selected to improve the processing speed, and the yarn breakage can be detected in real time without contact with the yarns.
Description
Technical field
The present invention relates to a kind of real-time noncontact Yarn break detection method based on line laser, belongs to textile detection technology
Field.
Background technology
During yarn production, winding and warping, Yarn break detection is a very important index.Yarn breaks
Head affects the quality of yarn production, winding and warping, textile industry can be brought greater impact, therefore real-time is yarn
One very important index of broken end detection.Yarn break real-time detection and automatic stop be one of winding quality quality it is main because
Element.
The Yarn break detecting system that textile industry is used at present mainly includes:The first is mechanical contact detection dress
Put, such as pointer detection means stirs yarn using pointer, and when yarn occurs to break end, pointer points to maximum, textile machine
Shut down, friction is produced between the meeting of contact yarn broken ends inspector and yarn, and frictional force can increase the probability of Yarn break;
It is for second electronic type non-contact detection device, including condenser type, piezoelectric type and photo-electric etc., condenser type is by detection by yarn
Detecting broken end, piezoelectric type is breaked end the capacitance variations that line is produced by detecting that the mechanics of yarn moves change-detection, and photo-electric
The shade change-detection Yarn break blocked by yarn.The non-contact detection device of these electronic types can accomplish real-time detection
Yarn break, but, electronic type detection means can only detect an one thread every time, if yarn radical is more, need to increase
Electronic detecting device, so as to increase cost and fault rate.The third is the method for machine vision, gathers yarn using area array cameras
Image when line warping and winding, then detects yarn radical using image processing techniquess, so as to detect Yarn break.Utilize
Area array cameras carry out Yarn break detection can be carried out under the conditions of non-contacting, can detect the broken end feelings of threads simultaneously
Condition, but area array cameras frame frequency is relatively low, the image of collection is affected larger by background, and the image procossing speed of area array cameras collection
Degree is slow, carries out Yarn break detection hence with area array cameras and is extremely difficult to real-time detection.
A kind of photoelectric yarn end break self-stop for figurative jacquard of the Chinese patent publication No. for CN104947298A
Device, including multigroup infrared transmission source, multigroup photoreceiver, executor, magnet driver, signal lamp and liquid crystal
Display screen, infrared transmission source are identical with photoreceiver quantity, and match packet use, per group infrared transmission source, photoreceiver
A light path is formed, each light path is respectively positioned at the underface of each menopause tablet, outfan and executor's phase of multigroup photoreceiver
Connection, the outfan of executor are connected with magnet driver, signal lamp, LCDs respectively.Although having spirit
The features such as sensitivity height, simple structure, strong interference immunity, but need, with menopause tablet and yarn contacts, to produce friction so as to increase yarn
The probability of line broken end, and every group of photo-electric can only detect that an one thread breaks end.
Publication No. adopts face for the industrial camera or photographic head of the Chinese patent of CN103074717A and CN103911702A
Array camera formula, has the disadvantages that:(1) area array cameras frame frequency is relatively low, and the image of collection is affected larger by background, image procossing
Speed is slow, carries out Yarn break detection hence with area array cameras and is extremely difficult to real-time detection;(2) area array cameras need to gather yarn
All positions of line broken end, the image of collection is larger, if yarn is uneven, the noise that yarn is contained with background is more, then image
Processing Algorithm is cumbersome.
A kind of image variants system for Yarn filoplume detection of the Chinese patent publication No. for CN103018249A
System includes line-scan digital camera, enlarging lens and data transmission system;Yarn filoplume image processing system, including image reading and aobvious
Show, the tupe of view data etc., the system lays the foundation for the proposition of the new characteristic index of Yarn filoplume, although apply line
Array camera, but to detection that an one thread is carried out.
A kind of spinning frame yarn multiple target device for dynamically detecting and its inspection of the Chinese patent publication No. for CN105734740A
Survey method includes CCD camera, image processing module, master control system, sensory package, compact spinning device and auxiliary device, CCD
Camera is provided with illuminator, and the image of collection is sent to image processing module, image procossing mould by the collection for carrying out yarn image
Block include image gray-scale transformation unit, image filtering unit, image binaryzation processing unit, sub-pixel edge detector unit, with
And sizing calibration unit, by image processing module by the yarn information transmission for determining to master control system, master control system pair
Information is analyzed judgement, detects the quality of yarn with this.Though with can with the quality of automatic detection spinning frame yarn, improve inspection
The advantages of surveying the accuracy of result, but to the detection that an one thread is carried out, the simply multiple parameters (uniformity to an one thread
Detection, Yarn filoplume length and quantity) detection that carries out, though CCD camera has been used, for the CCD camera of face battle array, sample frequency
It is low, poor real, and need to consider the Bonding Problem between two width images.
The content of the invention
It is an object of the invention to overcome the drawbacks described above that existing Yarn break detecting system or method are present, it is proposed that one
The real-time noncontact Yarn break detection method based on line laser is planted, Yarn break is assembled on existing textile machine and is examined at a high speed
Examining system, irradiates yarn by line laser light source, gathers the yarn image of irradiated site using line-scan digital camera, and will collect
Image is input in computer, the image that line-scan digital camera is gathered is processed using image processing techniquess, yarn in statistical picture
The radical of line, and contrasted with the yarn radical of pre-input, judge whether Yarn break, can be in the feelings for not contacting yarn
Yarn break is detected under condition, the real-time noncontact broken end detection while carrying out is realized to threads.
The present invention is realized using following technical scheme:A kind of real-time noncontact Yarn break inspection based on line laser
Survey method, it is characterised in that:Comprise the steps:
Step one:Using line-scan digital camera, line laser light source and computer assemble non-in real time on existing yarn warping machine
Contact Yarn break detecting system, for the real-time noncontact automatic detection of Yarn break during yarn winding and warping;
Step 2:Line laser light source is irradiated into yarn to be detected, the yarn figure of irradiation position is gathered by line-scan digital camera
Picture, and the original yarn image for collecting is input in computer;
Step 3:Processed by the original yarn image that image processing techniquess are collected to line-scan digital camera, Statistics Division
Yarn radical N in yarn image after reason;
Step 4:The yarn radical N counted in step 3 is contrasted with the yarn radical M of pre-input, is judged whether
Generation Yarn break, if N=M, judges that yarn does not occur broken end, if N ≠ M, judges that yarn occurs broken end;
Step 5:If yarn occurs broken end, computer sends control signal, makes textile machine shut down.
Further, yarn arrays during production, winding and warping are uniform, smooth and constitute yarn plane,
Line laser light source and line-scan digital camera in step one is installed in perpendicular to the top of yarn plane to be detected and line laser light source
Camera lens it is concordant with the camera lens of line-scan digital camera, and according to the camera lens of yarn plane to be detected and line-scan digital camera arrange linear array phase
The setting height(from bottom) of machine and line laser light source, makes the acquisition range of line laser light source range of exposures and line-scan digital camera more than to be detected
The scope of yarn plane, to complete the collection of yarn image.
Further, line laser light source is using red line laser.
Further, if L is the width of yarn plane to be detected, α is the angle of line laser scattering, and B is line laser light source
The width of yarn plane is irradiated to, h is the distance of line laser light source and line-scan digital camera camera lens to yarn plane to be detected, thenTo make line laser light source be irradiated to whole yarn plane to be detected, then B > L, i.e.,
Further, the length of line-scan digital camera sensor is let s be, f is the focal length of line-scan digital camera camera lens, and r is line-scan digital camera
Acquisition range, thenTo make line-scan digital camera acquisition range cover whole yarn plane to be detected, i.e. r > L, obtain
Further, in step 2, the resolution of line-scan digital camera is 2048, and setting line frequency is 10klps, then what is gathered is original
In yarn image, often row pixel represents 0.1ms, and the size that each image is selected during storage is 2048 × 10, then each image is represented
1ms。
Further, the original yarn image for being collected to line-scan digital camera in step 3 in a computer is carried out at binaryzation
Reason, obtains binary image, is partitioned into yarn, and detects yarn radical N from binary image.
Further, detect that yarn radical N adopts area-method from binary image, i.e.,:An one thread is calculated in advance
Average area, then calculates the yarn gross area in binary image, the yarn gross area is obtained yarn root divided by average area
Number N.
Further, yarn radical N is detected using domain method is connected from binary image, i.e.,:It is every from binary image
One thread is all a connected domain, can calculate yarn radical N by the number of calculating connected domain.
Further, detect that yarn radical N adopts traversal from binary image, i.e.,:From binary image most under
The leftmost side of the image of face a line starts to search to the right pixel, and when pixel is changed into white from black, representative image is become by background
For yarn, counted as an one thread, continuation is traveled through to the right, as long as there is black to be changed into white, then representing has an one thread
Occur, thus judge yarn radical N in image.
Compared with prior art, the invention has the beneficial effects as follows:
(1) a kind of real-time noncontact Yarn break detection method based on line laser of the present invention, by linear array phase
Machine, line laser light source and computer assemble real-time noncontact Yarn break detecting system on existing yarn warping machine, realize
In the case where yarn is not contacted while detecting the break situations of threads;
(2) a kind of real-time noncontact Yarn break detection method based on line laser of the present invention, using linear array phase
Machine gathers image, and substantially, image is simple for yarn and background contrast, the size of image may be selected to improve processing speed, realizes
Real-time detection Yarn break;
(3) a kind of real-time noncontact Yarn break detection method based on line laser of the present invention, line-scan digital camera point
Resolution is high, and gathers the position selection that the position of Yarn break arbitrarily can be distributed in Yarn homogeneous.
Description of the drawings
Fig. 1 is the flow chart of Yarn break detection of the present invention.
Fig. 2 is the Yarn break detecting system schematic diagram of noncontact in real time of the invention.
Fig. 3 is line-scan digital camera schematic diagram of the present invention.
Fig. 4 is that the yarn of line-scan digital camera collection does not occur original yarn image when breaking end.
Fig. 5 is that yarn does not occur binary image when breaking end.
Fig. 6 is that the yarn of line-scan digital camera collection occurs original yarn image when breaking end.
Fig. 7 is that yarn occurs binary image when breaking end.
In figure:1st, computer;2nd, line-scan digital camera;3rd, line laser light source;4th, yarn;5th, the direction of yarn winding;6th, linear array
Camera sensor;7th, the focal length of line-scan digital camera camera lens.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the accompanying drawings and instantiation, to this
A kind of real-time noncontact Yarn break detection method based on line laser of bright proposition is further described.
A kind of real-time noncontact Yarn break detection method based on line laser of the present invention, as shown in figure 1, including
Following steps:
Step one:Using line-scan digital camera 2, line laser light source 3 and computer 1 are assembled on existing yarn warping machine in real time
Noncontact Yarn break detecting system, for yarn 4 wind and warping during the real-time noncontact of Yarn break examine automatically
Survey, wherein, line-scan digital camera 2 is connected with computer 1, and line laser light source 3 is using red line laser;In production, wind and whole
Yarn 4 in Jing processes is arranged uniform, smooth and constitutes yarn plane, is installed in the top perpendicular to yarn plane to be detected
Line laser light source 3 and line-scan digital camera 2, and the camera lens of line laser light source 3 is concordant with the camera lens of line-scan digital camera 2, and according to yarn 4
Laying scope and the camera lens of line-scan digital camera 2 setting height(from bottom) of line laser light source 3 and line-scan digital camera 2 is set, make line laser
Scope of the acquisition range of 3 range of exposures of light source and line-scan digital camera 2 more than yarn plane to be detected, to complete yarn image
Collection.
As shown in Fig. 2 setting the linear velocity that v is that yarn 4 winds or moves when producing, in figure, the direction of arrow is yarn winding
Direction 5, L is the width of yarn plane to be detected, and α is the angle of line laser scattering, and B is that line laser light source 3 is irradiated to yarn and puts down
The width in face, h are the distance of line laser light source 3 and 2 camera lens of line-scan digital camera to yarn plane to be detected, then
To make line laser light source 3 be irradiated to whole yarn plane to be detected, then B > L, i.e.,
As shown in figure 3, letting s be the length of line-scan digital camera sensor 6, f is the focal length 7 of line-scan digital camera camera lens, and r is linear array phase
2 acquisition range of machine, thenTo make 2 acquisition range of line-scan digital camera cover whole yarn plane to be detected, i.e. r > L, obtain
Step 2:Line laser light source 3 is irradiated into yarn 4 to be detected, the yarn of irradiation position is gathered by line-scan digital camera 2
Image, and the original yarn image for collecting is input in computer 1 by data-interface;
According to the difference of the working method of camera, industrial camera can be divided into two big class of line-scan digital camera 2 and area array cameras, face
Array camera filming frequency is relatively low, and needs to consider image mosaic problem;A line sensor unit is included inside line-scan digital camera 2 only,
Line-scan digital camera 2 is continuously scanned to acquisition target, and single pass forms a line image, and the image for then being formed is from upper
Arrange downwards, constitute piece image, the time that often row pixel is represented is different, image is a width time-space image, the row of line-scan digital camera 2
Frequency represents the picture number of shooting per second.And inside area array cameras be matrix shape sensor, acquisition target is entered with a breadth
Row scanning, obtains a width spatial image, and transverse and longitudinal coordinate all represents space.Real-time requires that the speed for detecting is high, general to require
Less than 5ms, if the real-time of Yarn break detection is not high, possible Yarn break is not detected in time, causes serious consequence.This
In invention, representative image is selected, the resolution of line-scan digital camera 2 is 2048, and setting line frequency is 10klps, then gather
In original yarn image, often row pixel represents 0.1ms, and the size that each image is selected during storage is 2048 × 10, then each image
Represent 1ms, in the detection method, detect that the time of Yarn break is about 1ms, due to storage image it is little, image procossing
Speed is fast, then the time that Yarn break is detected is can be controlled within 2ms, and detection frequency realizes real-time inspection up to 500Hz
Survey.
Step 3:The original yarn image that line-scan digital camera 2 is collected is processed by image processing techniquess, Statistics Division
Yarn radical N in yarn image after reason;Binary conversion treatment is carried out to original yarn image, binary image is obtained, from
Yarn 4 is partitioned in binary image, and detects yarn radical N.Yarn 4, line-scan digital camera are irradiated using red line LASER Light Source 3
2 collection yarn images, as 2 light-inletting quantity of line-scan digital camera is little, only have reaction, therefore yarn 4 and the back of the body to the transmitting light of line laser
Scape contrast is obvious, when carrying out binary conversion treatment to original image, can be relatively easy to select segmentation threshold.
Detection to yarn radical in binary image, the present invention propose three kinds of methods:
Method one:Area-method, i.e.,:The average area of an one thread 4 is calculated in advance, then calculates the yarn in binary image
4 gross area of yarn is obtained yarn radical N divided by average area by 4 gross area of line.
Method two:Connection domain method, i.e.,:From binary image, every one thread 4 is all a connected domain, can be by the company of calculating
The number in logical domain is calculating yarn radical N.
Method three:Traversal, i.e.,:From binary image, the leftmost side of the image of bottom line starts to search to the right picture
Element, when pixel is changed into white from black, representative image is changed into yarn 4 from background, is counted as an one thread 4, continues
Travel through to the right, as long as there is black to be changed into white, then representing has an one thread 4 to occur, and thus judges yarn radical N in image.By
Often row represents the different times to the image gathered in line-scan digital camera 2, and last column is the image of nearest collection, therefore real-time is most
It is high.
Step 4:The yarn radical N counted in step 3 is contrasted with the yarn radical M of pre-input, is judged whether
Generation Yarn break, if N=M, judges that yarn 4 does not occur broken end, if N ≠ M, judges that yarn 4 occurs broken end;
Step 5:If yarn 4 occurs broken end, computer 1 sends control signal, makes textile machine shut down;When 4, yarn
During raw broken end, the yarn radical for detecting can be fewer than 4 number of yarn of pre-input, and computer 1 sends broken end signal to weaving loom
Tool, shuts down textile machine.
Line laser light source 3 is irradiated and is located on same axis with the collection of line-scan digital camera 2 position, the figure of the collection of line-scan digital camera 2
Seem time-space image, i.e., abscissa row pixel represents locus, and vertical coordinate row pixel represents the time, i.e., in line-scan digital camera 2
In the image of collection, row pixel is the spatial image of yarn 4, represents the diverse location of yarn 4, and row pixel for yarn 4 when
Between image, represent the moving image of the yarn 4 that the different times collect, as shown in Figures 4 to 7, in image per one thread 4 to
3 pixels are accounted for less, wherein, the line frequency of line-scan digital camera 2 is 10klps, and image size is that 2048 × 10, i.e. each image are represented
1ms, Fig. 4 be line-scan digital camera collection yarn do not occur break end when original yarn image, Fig. 6 be line-scan digital camera collection yarn
Occur broken end when original yarn image, Fig. 5 be yarn do not occur break end when binary image, Fig. 7 be yarn occur broken end
When binary image.
Certainly, the above is only presently preferred embodiments of the present invention, it is impossible to be considered as limiting the enforcement to the present invention
Example scope.The present invention is also not limited to the example above, essential scope of the those skilled in the art in the present invention
Interior made impartial change and improvement etc., all should belong in the patent covering scope of the present invention.
Claims (10)
1. a kind of real-time noncontact Yarn break detection method based on line laser, it is characterised in that:Comprise the steps:
Step one:Using line-scan digital camera (2), line laser light source (3) and computer (1) assemble real on existing yarn warping machine
When noncontact Yarn break detecting system, for yarn (4) wind and warping during Yarn break real-time noncontact from
Dynamic detection;
Step 2:Line laser light source (3) is irradiated into yarn (4) to be detected, the yarn of irradiation position is gathered by line-scan digital camera (2)
Line image, and the original yarn image for collecting is input in computer (1);
Step 3:The original yarn image that line-scan digital camera (2) is collected is processed by image processing techniquess, statistical disposition
Yarn radical N in yarn image afterwards;
Step 4:The yarn radical N counted in step 3 is contrasted with the yarn radical M of pre-input, is judged whether occur
Yarn break, if N=M, judges that yarn (4) does not occur broken end, if N ≠ M, judges that yarn (4) occurs broken end;
Step 5:If yarn (4) occurs broken end, computer (1) sends control signal, makes textile machine shut down.
2. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 1, its feature exist
In:Yarn (4) during production, winding and warping is arranged uniform, smooth and constitutes yarn plane, the line in step one
LASER Light Source (3) and line-scan digital camera (2) installed in perpendicular to the top of yarn plane to be detected and line laser light source (3) mirror
Head is concordant with the camera lens of line-scan digital camera (2), and arranges linear array according to the camera lens of yarn plane to be detected and line-scan digital camera (2)
The setting height(from bottom) of camera (2) and line laser light source (3), makes the collection of line laser light source (3) range of exposures and line-scan digital camera (2)
Scope of the scope more than yarn plane to be detected, to complete the collection of yarn image.
3. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 2, its feature exist
In:Line laser light source (3) is using red line laser.
4. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 2, its feature exist
In:If L is the width of yarn plane to be detected, α be line laser scattering angle, B be line laser light source (3) be irradiated to yarn put down
The width in face, h are the distance of line laser light source (3) and line-scan digital camera (2) camera lens to yarn plane to be detected, thenTo make line laser light source (3) be irradiated to whole yarn plane to be detected, then B > L, i.e.,
5. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 1, its feature exist
In:The length of line-scan digital camera sensor (6) is let s be, f is the focal length (7) of line-scan digital camera camera lens, and r is line-scan digital camera (2) collection model
Enclose, thenTo make line-scan digital camera (2) acquisition range cover whole yarn plane to be detected, i.e. r > L, obtain
6. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 1, its feature exist
In:In step 2, the resolution of line-scan digital camera (2) is 2048, and setting line frequency is 10klps, then in the original yarn image for gathering
Often row pixel represents 0.1ms, and the size that each image is selected during storage is 2048 × 10, then each image represents 1ms.
7. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 1, its feature exist
In:Binary conversion treatment is carried out to the original yarn image that line-scan digital camera (2) is collected in computer (1) in step 3, is obtained
Binary image, is partitioned into yarn (4) from binary image, and detects yarn radical N.
8. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 7, its feature exist
In:Detect that yarn radical N adopts area-method from binary image, i.e.,:The average area of an one thread (4) is calculated in advance, so
Yarn (4) gross area in binary image is calculated afterwards, and yarn (4) gross area is obtained into yarn radical N divided by average area.
9. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 7, its feature exist
In:Yarn radical N is detected from binary image using domain method is connected, i.e.,:From binary image, every one thread (4) is all one
Individual connected domain, can calculate yarn radical N by the number of calculating connected domain.
10. a kind of real-time noncontact Yarn break detection method based on line laser according to claim 7, its feature exist
In:Detect that yarn radical N adopts traversal from binary image, i.e.,:The image of bottom line from binary image
The leftmost side starts to search to the right pixel, and when pixel is changed into white from black, representative image is changed into yarn (4) from background, as
One one thread (4) is counted, and continuation is traveled through to the right, as long as there is black to be changed into white, then representing has an one thread (4) to occur,
Thus judge yarn radical N in image.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202227011U (en) * | 2011-09-06 | 2012-05-23 | 上海驰网工业科技有限公司 | Intelligent linear array detection device |
CN102830120A (en) * | 2012-08-16 | 2012-12-19 | 杭州瑞利测控技术有限公司 | Machine vision-based beaming broken yarn on-line monitoring system and implementation method thereof |
CN105374046A (en) * | 2015-12-03 | 2016-03-02 | 江南大学 | Spinning machine online end breaking detection apparatus and detection algorithm based on spun yarn images |
-
2016
- 2016-12-13 CN CN201611143551.9A patent/CN106596568A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202227011U (en) * | 2011-09-06 | 2012-05-23 | 上海驰网工业科技有限公司 | Intelligent linear array detection device |
CN102830120A (en) * | 2012-08-16 | 2012-12-19 | 杭州瑞利测控技术有限公司 | Machine vision-based beaming broken yarn on-line monitoring system and implementation method thereof |
CN105374046A (en) * | 2015-12-03 | 2016-03-02 | 江南大学 | Spinning machine online end breaking detection apparatus and detection algorithm based on spun yarn images |
Non-Patent Citations (8)
Title |
---|
华才健等: "基于线激光的棉花中白色异性纤维检测", 《农业机械学报》 * |
卢凤龙等: "织物密度的数字图像检测方法", 《织物密度的数字图像检测方法》 * |
张林等: "基于线激光与LED的棉花中异性纤维检测方法", 《农业工程学报》 * |
王冬等: "棉花中白色异性纤维的线扫描激光成像检测方法", 《农业工程学报》 * |
王硕等: "基于计算机视觉的大菱鲆鱼苗计数方法研究", 《渔业现代化》 * |
聂永等: "基于线阵CCD的纱线计数器设计", 《江南大学学报自然科学版》 * |
董威: "基于线阵CCD的实时断纱检测系统的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
邓罗虹: "基于线阵CCD的机器视觉测量系统的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111058270A (en) * | 2019-12-24 | 2020-04-24 | 杭州晶一智能科技有限公司 | Yarn state detection method based on gravity center analysis |
CN111337502A (en) * | 2020-03-17 | 2020-06-26 | 任圆 | Machine vision detection netting snapping system and implementation method thereof |
CN112485263A (en) * | 2020-11-24 | 2021-03-12 | 西安获德图像技术有限公司 | PE fiber yarn quality online detection device and method based on machine vision |
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