CN108717706A - Semi-automatic bunchy yarn process parameter identification method based on bunchy yarn fabric - Google Patents

Semi-automatic bunchy yarn process parameter identification method based on bunchy yarn fabric Download PDF

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Publication number
CN108717706A
CN108717706A CN201810409537.1A CN201810409537A CN108717706A CN 108717706 A CN108717706 A CN 108717706A CN 201810409537 A CN201810409537 A CN 201810409537A CN 108717706 A CN108717706 A CN 108717706A
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ring
yarn
slub
length
bunchy
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CN108717706B (en
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潘如如
曹秀明
李忠健
韩晨晨
孙丰鑫
刘丽艳
许勇
华玉龙
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Jiangnan University
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Jiangnan University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • 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
    • G06T2207/30124—Fabrics; Textile; Paper

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Treatment Of Fiber Materials (AREA)

Abstract

The invention provides a semi-automatic identification method of bunchy yarn process parameters based on a bunchy yarn fabric, and belongs to the technical field of novel textile automation. Firstly, image acquisition is carried out on a sample fabric, then, the slubs on the same yarn of the fabric are positioned on the same line as much as possible by image rotation, then, a plurality of fabric images are connected by image splicing, then, the slubs in the fabric are marked and connected by a coordinate positioning method, the coordinate positions of the slubs are automatically recorded, and finally, coordinate position data are analyzed to realize the identification of the slub length, the slub interval and the slub period, so that the defects of the existing manual detection method are overcome, the detection accuracy of the slub yarns in the fabric is improved, and meanwhile, the productivity is liberated, and the method is suitable for modern automatic textile production.

Description

A kind of semi-automatic recognition methods of necked yarn process parameter based on bunchy yarn fabrics
Technical field
The invention belongs to fabric technical field of automation, are related to a kind of semi-automatic knowledge of bunchy yarn fabrics technological parameter Other method.
Background technology
Slub is one kind of FANCY YARNS, has stereoeffect with the fabrics cloth cover that slub is made into, is widely used in The fields such as denim, high-grade underwear and adornment.Technological parameter in slub production mainly has between slub length, ring Away from, ring multiplying power and ring type etc., these technological parameters can analyze yarn using Uster Tester 5.But In actual production, the sample of bunchy yarn fabrics is often the form of fabric, directly can not carry out parameter identification, mesh using evenness meter Before rely only on manual analysis progress.
When manual analysis necked yarn process parameter, slub yarn is tentatively obtained according to fabric first, then by trying to spin Test weaving determines whether fabric effects are consistent with sample, and entire analytic process is excessively cumbersome, inefficiency, and there is surveys Accuracy of measurement is not high, time-consuming and laborious drawback.Therefore, there is an urgent need to a kind of sides that can effectively detect cloth cover bamboo joint yarn process parameter Method.
Invention content
The object of the present invention is to provide a kind of semi-automatic recognition methods of detection cloth cover bamboo joint yarn process parameter, the skills of use Art scheme is as follows:
Step 1：The gray level image of woven fabric is obtained using digital image acquisition apparatus, image capture device includes scanning Instrument, videomicroscopy, line-scan digital camera, area array cameras etc..
Step 2：The image of acquisition is rotated, is used with-t ° as starting point, m ° is step-length, and t ° rotates for terminal stepping Image determines the angle to be rotated according to the standard error of the mean of rotation image each column or row every time, parameter t 10~ Value between 20, m are 0.5~1.
Step 3：Several yarn images that step 2 obtains are spliced, by calculating the intersection in two images The similitude of matrix matched, choose the intersection in piece image, utilize the part sliding of the second width same position Selection, is compared with the first width, and similarity is maximum, is the position to be spliced.
Step 4：Spliced bunchy yarn fabrics imagery exploitation image processing software is marked and is positioned, and will be adjacent Ring be attached, and automatically record the starting point and ending point position coordinates for having connected ring.
Step 5：Using the initial position of every section of slub of record, according to following slub length, ring spacing and bamboo Save nubby-yarn parameter needed for the computational methods identification in period：
(1) computational methods of slub length
Since each slub segment can use four base yarn diameter, ring diameter, ring spacing, slub length parameters It is described.Therefore, slub length starting point can be understood as base yarn and start thicker place, and terminal is then that ring switchs to base yarn Place.The coordinate of ring beginning and end has stored when again due to label ring, when detecting broadwise slub length, only needs The ordinate value of record is subtracted each other and can be obtained slub length.If the coordinate points A (x1, y1) of ring AB, B (x1, y2), then ring Length LAB=y2-y1, and so on.
(2) computational methods of ring spacing
Ring spacing is exactly the base yarn length between adjacent two ring.When detecting ring spacing on the fabric, it should be taken into account Commonly proportion relation between yarn and slub, if between slub without common yarn interval if be single bunchy yarn fabrics；If There is interval, then should ignore the common yarn at interval, it is believed that is linked up between adjacent slub.
1. the calculating of broadwise bunchy yarn fabrics ring spacing
The wefting insertion length of broadwise bunchy yarn fabrics is different due to the difference of filling insertion way.The characteristics of shuttle filling insertion way is to follow Ring is reciprocal, and be arranged as cycle of such ring in cloth cover is turned back and be ranked sequentially；No shuttle filling insertion way introduces weft yarn and all can every time Cut in yarn tail, be ranked sequentially after being cut due to slub, wefting insertion length be equal to working-cloth width width and both sides flash and The sum of edge grinding length, and it is exactly working-cloth width width to have shuttle filling insertion way wefting insertion length, if the ring CD adjacent with ring AB Coordinate points C (x2, y3), B (x2, y4).
When filling insertion way is to have shuttle wefting insertion, there are two types of situations for the calculating of ring spacing：If first introducing weft yarn from left side, Then the base yarn length at two between ring can be estimated by " 2 × breadth-y4-y2 "；Weft yarn is introduced from right side if it is elder generation, then at two Base yarn length between ring can be estimated by " y1+y3 ".
When filling insertion way for no shuttle wefting insertion when, be usually to introduce weft yarn from left side at this time, ignoring flash and edge grinding influences, then Base yarn length at two between ring can be estimated by " breadth-y4+y1 ".
2. the calculating of warp-wise bunchy yarn fabrics ring spacing
When detecting warp yarns slub object ring spacing, the starting point of the adjacent ring on same warp thread need to only be sat Mark subtracts each other with upper ring termination point coordinates obtains ring spacing.
(3) computational methods in ring period
When detecting the ring period, classified to ring type according to the slub length of calculating and ring spacing, by institute Belong to same type of ring cycle length to calculate.
The present invention overcomes the shortcomings of existing artificial detection method, improves the accuracy that slub detects in fabric, simultaneously It liberates the productive forces, is adapted with modern textile automated production.
Description of the drawings
The semi-automatic recognition methods flow chart of necked yarn process parameters of the Fig. 1 based on bunchy yarn fabrics.
Fig. 2 broadwise bunchy yarn fabrics artworks.
The postrotational images of Fig. 3.
The spliced bamboo node fabric images of Fig. 4.
Ring image after Fig. 5 image processing softwares label and connection.
Specific implementation mode
The embodiment of the present invention is described in detail below in conjunction with technical solution and attached drawing.
This specific implementation case is illustrated by taking wefting insertion on the right side of broadwise bunchy yarn fabrics as an example, identification process figure such as Fig. 1 institutes Show, specific implementation step includes as follows：
Step 1：Bunchy yarn fabrics surface image is acquired using certain image capture device, in gatherer process as far as possible Fabric is set to ajust, Fig. 2 is to utilize the collected width broadwise bunchy yarn fabrics image of scanner.
Step 2：The textile image of acquisition is rotated, is used with -10 ° as starting point, 0.5 ° is step-length, and 10 ° are terminal Stepping rotates image, and the angle to be rotated is determined according to the standard error of the mean of rotation image each column every time, postrotational Image is as shown in Figure 3.
Step 2：Several yarn images that step 2 obtains are spliced, by calculating the intersection in two images The similitude of matrix matched, choose the intersection in piece image, utilize the part sliding of the second width same position Selection, is compared with the first width, and similarity is maximum, is the position to be spliced, utilizes the spliced bamboo node fabric of this method Image is as shown in Figure 4.
Step 4：After spliced bunchy yarn fabrics imagery exploitation Photoshop CS6 image processing softwares are opened splicing Image, slub label and positioning are carried out after amplification, and adjacent ring is attached, automatically record and has connected according to software The starting point and ending point position coordinates for connecing ring, as on Fig. 5 horizontal white band be label and connection after ring image.
Step 5：Utilize the initial position of every section of slub of record and slub length, ring spacing, ring period Computational methods identify the specific data of these parameters:
Slub length LAB=y2-y1, LCD=y4-y3；
Embodiment is wefting insertion on the right side of broadwise bunchy yarn fabrics, then the ring spacing between ring AB and CD is y1+y3；
Classified and counted according to slub length and ring spacing all on the fabric obtained, finally obtains bamboo Save the period.

Claims (8)

1. a kind of semi-automatic recognition methods of necked yarn process parameter based on bunchy yarn fabrics, which is characterized in that including
The gray level image of ring woven fabric is obtained using digital image acquisition apparatus；
The rotation of the gray level image of ring woven fabric；
The splicing of the gray level image of ring woven fabric；
The label connection of ring based on human-computer interaction and automatically recording for coordinate；
The identification and analysis to nubby-yarn parameter are realized according to nubby-yarn parameter computational methods；
The rotation of the gray level image of the ring woven fabric is used with-t ° for starting point, and m ° is step-length, and t ° revolves for terminal stepping Turn image, obtains several textile images, the angle of final rotation is according to the average value of rotation image each column or row every time Standard deviation determines.
2. the semi-automatic recognition methods of the necked yarn process parameter according to claim 1 based on bunchy yarn fabrics, feature It is,
The splicing of the gray level image of the ring woven fabric is the phase by calculating the matrix of intersection in two width yarn images It is matched like property, chooses the intersection in piece image, selection region is slided using the part of the second width same position Matrix, and be compared with the first width, similarity is maximum, is the position to be spliced.
3. the semi-automatic recognition methods of the necked yarn process parameter according to claim 1 or 2 based on bunchy yarn fabrics, special Sign is,
The label connection of the ring based on human-computer interaction and automatically recording for coordinate will be spliced using image processing software The ring position in bunchy yarn fabrics image afterwards is marked and positions, and is then attached adjacent ring, and automatic Record has connected the starting point and ending point position coordinates of ring.
4. the semi-automatic recognition methods of the necked yarn process parameter according to claim 1 or 2 based on bunchy yarn fabrics, special Sign is,
The nubby-yarn parameter computational methods include slub length, ring spacing and ring cycle parameter computational methods；
Slub length starting point is that base yarn starts thicker place, and terminal is then the place that ring switchs to base yarn；Detect broadwise ring When length, the ordinate value of record subtracts each other to obtain slub length；
Ring spacing is exactly the base yarn length between adjacent two ring；According to the proportion relation identification between common yarn and slub Ring spacing, when between slub without being then single bunchy yarn fabrics when common yarn interval；When there is interval, then ignore interval Common yarn, it is believed that linked up between adjacent slub；The ring spacing of broadwise bunchy yarn fabrics should be according to wefting insertion Mode is calculated；
When detecting the ring period, classified to ring type according to the slub length of calculating and ring spacing, it will be affiliated same The ring cycle length of type calculates.
5. the semi-automatic recognition methods of the necked yarn process parameter according to claim 3 based on bunchy yarn fabrics, feature It is,
The nubby-yarn parameter computational methods include slub length, ring spacing and ring cycle parameter computational methods；
Slub length starting point is that base yarn starts thicker place, and terminal is then the place that ring switchs to base yarn；Detect broadwise ring When length, the ordinate value of record subtracts each other to obtain slub length；
Ring spacing is exactly the base yarn length between adjacent two ring；According to the proportion relation identification between common yarn and slub Ring spacing, when between slub without being then single bunchy yarn fabrics when common yarn interval；When there is interval, then ignore interval Common yarn, it is believed that linked up between adjacent slub；The ring spacing of broadwise bunchy yarn fabrics should be according to wefting insertion Mode is calculated；
When detecting the ring period, classified to ring type according to the slub length of calculating and ring spacing, it will be affiliated same The ring cycle length of type calculates.
6. the semi-automatic recognition methods of the necked yarn process parameter based on bunchy yarn fabrics according to claims 1 or 2 or 5, It is characterized in that, the utilization digital image acquisition apparatus includes scanner, videomicroscopy, line-scan digital camera or area array cameras.
7. the semi-automatic recognition methods of the necked yarn process parameter according to claim 3 based on bunchy yarn fabrics, feature It is, the utilization digital image acquisition apparatus includes scanner, videomicroscopy, line-scan digital camera or area array cameras.
8. the semi-automatic recognition methods of the necked yarn process parameter according to claim 4 based on bunchy yarn fabrics, feature It is, the utilization digital image acquisition apparatus includes scanner, videomicroscopy, line-scan digital camera or area array cameras.
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CN113222925A (en) * 2021-04-30 2021-08-06 陕西科技大学 ImagePy-based water-sensitive paper fog drop parameter measuring device and measuring method thereof

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CN113222925B (en) * 2021-04-30 2023-01-31 陕西科技大学 ImagePy-based water-sensitive paper fog drop parameter measuring device and measuring method thereof

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