CN106898021A - One kind is based on anisotropic crease recovery properties of woven fabrics uniformization characterizing method - Google Patents

One kind is based on anisotropic crease recovery properties of woven fabrics uniformization characterizing method Download PDF

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Publication number
CN106898021A
CN106898021A CN201710248810.2A CN201710248810A CN106898021A CN 106898021 A CN106898021 A CN 106898021A CN 201710248810 A CN201710248810 A CN 201710248810A CN 106898021 A CN106898021 A CN 106898021A
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angle
orientation
recovery
sample
crease
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王蕾
潘如如
高卫东
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Jiangnan University
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Jiangnan University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20056Discrete and fast Fourier transform, [DFT, FFT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20132Image cropping

Abstract

The invention discloses a kind of uniformization characterizing method based on anisotropic crease recovery properties of woven fabrics, including step:Collection textile image, using image processing algorithm, obtains power spectrum chart, then Hough transform is carried out to power spectrum chart bianry image and detect cloth textured direction by Fast Fourier Transform (FFT);Regulation orientation angular direction, plain cloth and twills are sampled, angle is replied by contrasting the angle of orientation sample related to grain direction, propose that the recovery angle measured using the angle of orientation sample parallel with grain direction characterizes tabby crease resistant finishing, twill crease resistant finishing is characterized with twill oblique parallel and vertical sample recovery angle average using the angle of orientation, realizes that the uniformization of crease recovery properties of woven fabrics is characterized.

Description

One kind is based on anisotropic crease recovery properties of woven fabrics uniformization characterizing method
Technical field
The present invention relates to fabric quality evaluation method field, the uniformization sign side of crease recovery properties of woven fabrics is particularly related to Method.
Background technology
Crease recovery properties of woven fabrics is to assess one of important indicator of fabric quality, is related to the availability of fabric and conformal Property.Existing evaluation crease recovery properties of woven fabrics method mainly has reply horn cupping and outward appearance method, and replying horn cupping can measure than outward appearance method Wrinkle grade assessment more intuitively angle-data, therefore more widely use.
The index extracted to crease recovery properties of woven fabrics evaluation at present, be using sample side long respectively with warp-wise and broadwise Parallel sample doubling, measures the reply angle of obverse and reverse doubling.However, the woven fabric that longitude and latitude interweaves, is present each to different Property, it is difficult to reflect comprehensively the reply situation in other directions of fabric through the reply angle of, broadwise, such as warp, the recovery angle of broadwise sample Recovery angle with respect to other angle samples is small, and the crease resistant finishing of other angle samples is unknown, then be difficult to speculate fabric entirety Crease recovery situation.
It is therefore proposed that a kind of crease recovery uniformization characterizing method, realizes to the accurate, reasonable of crease recovery properties of woven fabrics Evaluation.
The content of the invention
In view of this, it is an object of the invention to propose a kind of accurate, rational crease recovery properties of woven fabrics uniformization table Levy method.
Based on a kind of crease recovery properties of woven fabrics uniformization characterizing method that the above-mentioned purpose present invention is provided, including following step Suddenly:
1st, textile image is gathered, and the pixel of image is cut by 2 integral number power, be the detection in cloth textured direction Prepare textile image;
2nd, grain direction is detected using image processing algorithm, global threshold is carried out to textile image first, then to two-value Textile image after change carries out Fast Fourier Transform (FFT) and obtains power spectrum chart, then carries out Hough to the bianry image of power spectrum chart Conversion, so as to draw cloth textured direction;
3rd, it is the folder that sample goes to sample doubling direction from the weft direction (x-axis) of initial position counterclockwise to define the angle of orientation Angle;
4th, plain cloth is counterclockwise sampled by the angle of orientation from 0 ° to 90 ° every 10 °;
5th, plain cloth is by the sampling parallel with grain direction of orientation of test specimen angle, recovery angle and the orientation angular spacing of gained sample 10 ° of recovery angle average contrasts of sampling, the two result is close, the reply measured using the angle of orientation sample parallel with grain direction Angle characterizes tabby crease resistant finishing;
6th, the twills angle of orientation is then from 0 ° to 180 ° every 30 ° of samplings;
7th, twills cut the angle of orientation and oblique parallel and vertical sample respectively, and the sample recovery angle of both direction is equal The recovery angle averages contrast of value and orientation 30 ° of angular spacing sampling, the two result is close, using the angle of orientation and twill oblique parallel and Vertical sample recovery angle average characterizes twill crease resistant finishing.
Brief description of the drawings
Fig. 1 is cloth textured angle detecting flow chart
Fig. 2 is textile image
Fig. 3 is fabric bianry image
Fig. 4 is power spectrum gray level image
Fig. 5 is power spectrum bianry image
Fig. 6 is that different directions sample angle
Fig. 7 is plain cloth recovery angle box-shaped figure
Fig. 8 is that twills are slow plays recovery angle
Specific embodiment
Characterized based on anisotropic crease recovery properties of woven fabrics uniformization, main method is to gather textile image, detection Cloth textured direction, samples according to grain direction, and the reply angle for measuring of materialsing replys angle with fabric all directions sample Similar mean values, the crease resistant finishing for characterizing fabric.
Cloth textured angle detecting flow refers to Fig. 1, carries out binary conversion treatment to textile image (referring to Fig. 2) first, so Fast Fourier Transform (FFT) is carried out to the textile image (referring to Fig. 3) after binaryzation afterwards and obtains power spectrum chart (referring to Fig. 4), so that To the bianry image (referring to Fig. 5) of power spectrum chart, the characteristics of be more than weft count using common fabric warp count, work(is can determine whether The stronger direction of signal corresponds to warp thread direction on rate spectrum bianry image, and finally the bianry image to power spectrum chart carries out Hough Conversion, three peak values of gained remove warp thread, weft direction and are cloth textured direction.
The angle of orientation for extracting sample refers to Fig. 6, and the angle of orientation refers to that sample goes to examination from the weft direction (x-axis) of initial position The angle of sample doubling direction, the folding line on 40mm × 15mm rectangular specimens rotates to X-axis from x-axis, has turned over θ angles, wherein, x Axle is parallel with the weft direction of the initial putting position of fabric, and y-axis is parallel with warp-wise, and X-axis corresponds to doubling direction, Y direction table Show that sample folding line have rotated the corresponding direction of sample warp thread after certain angle, then angle θ is referred to as the angle of orientation.
By taking 4 kind of 100% cotton plain cloth as an example, fabric parameter is as listed in table 1.
The tabby parameter of cotton of table 1 100%
By the angle of orientation counterclockwise from 0 ° to 90 ° every 10 ° of samplings.To every piece of fabric, each identical angle of orientation is cut out 10 pieces of samples are cut, and is marked in their front.Wherein 5 pieces in 10 pieces of samples are done front double-over test, and remaining 5 pieces are done Reverse side double-over test.Sample is tested one by one in crease recovery properties of woven fabrics dynamic test system, moulding pressure is 5N, plus The pressure time is 5min, and the speed of 2s cameras collection video sequence is 25 frames/s before setting recovery stage, and 1 frame/s is set to afterwards.Respectively The slow bullet recovery angle of angle of orientation sample is as listed in table 2.
The slow bullet recovery angle of each angle of orientation sample of the plain cloth of table 2
Anisotropy is replied using One-way ANOVA method inspection fabric pincher whether there is.Four kinds of the identical of fabric take Carry out testing the data of the same index for measuring using identical folding mode to angle sample as one group of variable, using Lilliefors Inspection and Bartlett normalities and homogeneity of variance of the inspection respectively to each variable test, it was demonstrated that 1#To 4#Fabric Ease up multiple angular data of rebounding of anxious bullet meets the requirement of One-way ANOVA.From F cumulative distribution function produce p value, with it come Judge whether null hypothesis is set up in given confidential interval, and null hypothesis is that all recovery angles of each angle of orientation have identical equal Value, if p≤α, wherein α is given confidence level, then null hypothesis is invalid, and the average that there is at least one sample is markedly different from Other sample averages.The doubling of sample positive and negative is delayed and plays the p value that obtains of recovery angle and be respectively 0.0039 and 0.0096, than given Confidence level 0.05 is small, illustrates that there were significant differences between identical fabric, the recovery angle average at different orientation angle, i.e., fabric pincher is returned There is anisotropy again.The slow bullet recovery angle of sample positive and negative doubling is as shown in Figure 7 with the box figure that the angle of orientation changes.It is right In this 4 kinds of plains cloth, the slow bullet recovery angle of front doubling sample first increases and then decreases, reverse side pair with the increase of the angle of orientation Folding sample also shows this trend.
Because 4 kinds of tabby grain directions are close to 45 °, therefore the test angle of orientation is 45 ° of recovery angles of sample, such as Listed by table 3.
The angle of orientation of table 3 is 45 ° of recovery angles of sample
It is 45 ° of recovery angles of sample and all angle of orientation recovery angles to use root-mean-square error (RMSE) method to analyze the angle of orientation Average between relation, computing formula is
In formula, n represents the quantity of sample,Represent the corresponding recovery angle of certain angle of orientation or corresponding time of m angle of orientation The average at multiple angle, represents the average of the corresponding recovery angle of all 10 angles of orientation.If root-mean-square error is smaller, description selection takes The overall crease resistant finishing of fabric can be more accurately reflected to the recovery angle at angle.Result of the test shows that 45 ° of angle of orientation samples are surveyed Recovery angle recovery angle corresponding with 10 angle of orientation samples average it is more close, the slow bullet recovery angle maximum difference between them It is 3.2 °.
For twills, selected pure cotton twills parameter is as listed by table 4.
The cotton twills parameter of table 4 100%
The twills angle of orientation is surveyed then from 0 ° to 180 ° every 30 ° of samplings similar to tabby pressure method Examination, the slow bullet recovery angle of each angle of orientation sample is as listed in table 5.
The slow bullet recovery angle of each angle of orientation sample of the twills of table 5
Recovery angle and orientation angular dependence drafting pattern are played by slow, as shown in Figure 8.The recovery angle of front doubling sample is from orientation 0 ° to 60 ° of angle is gradually increasing, and when the angle of orientation is 60 °, recovery angle is maximum, is gradually reduced afterwards;The recovery angle of reverse side doubling sample The trend being gradually increasing is presented with the increase of the angle of orientation, has only declined when the angle of orientation is 90 °, maximum recovery angle is appeared in and taken To angle be 150 ° when.Two kinds of recovery angles of folding mode are smaller when the angle of orientation is 0 °.Most of front doubling samples return Multiple angle average value is bigger than reverse side doubling.
The results of analysis of variance shows that the p value that positive and negative doubling sample delays bullet recovery angle is respectively 0.0364 and 0.0394, Illustrate that twill crease recovery has anisotropy.For the slow bullet recovery angle of front doubling sample, 3 angle of orientation examinations The recovery angle average of sample is 2.27 ° with the root-mean-square error minimum value of the recovery angle average of all angle of orientation samples, corresponding to take It it is 0 °, 60 ° and 120 ° to angle;The lowest mean square root error that the recovery angle average of 2 angle of orientation samples is measured is 2.70 °, correspondence The angle of orientation be 30 ° and 120 °;1 recovery angle of angle of orientation sample is with the minimum value of the root-mean-square error of total recovery angle average 2.48 °, the corresponding angle of orientation is 30 °.For the slow bullet recovery angle of reverse side doubling sample, the recovery angle of 3 angle of orientation samples is equal It is 1.14 ° to be worth with the root-mean-square error minimum value of the recovery angle average of all angle of orientation samples, and the corresponding angle of orientation is 30 °, 90 ° With 150 °;The lowest mean square root error that the recovery angle average of 2 angle of orientation samples is measured is 0.98 °, and the corresponding angle of orientation is 30 ° With 120 °;1 recovery angle of angle of orientation sample is 3.70 ° with the root-mean-square error minimum value of total recovery angle average, corresponding to take It it is 60 ° to angle.Therefore, the test result of comprehensive sample positive and negative, it is proposed that from the angle of orientation be the 30 ° and 120 ° wrinkle of sample The average value of recovery angle is used as the twill crease resistant finishing for evaluating warp, the line density of weft yarn is closer to.Proposed There is mutually orthogonal relation between the angle of orientation, and one of angle of orientation is almost parallel with cloth textured direction, another orientation Angle is vertical with grain direction, then characterize twills with twill oblique parallel and vertical sample recovery angle average using the angle of orientation Crease resistant finishing.
Those of ordinary skill in the art should be understood:Specific embodiment of the invention is the foregoing is only, and The limitation present invention, all any modification, equivalent substitution and improvements within the spirit and principles in the present invention, done etc. are not used in, Should be included within protection scope of the present invention.

Claims (5)

1. it is a kind of to be based on anisotropic crease recovery properties of woven fabrics uniformization characterizing method, it is characterised in that including following step Suddenly:
(1) textile image is gathered, the integral number power that image pixel presses 2 is cut, be that the detection in cloth textured direction prepares to knit Object image;
(2) grain direction is detected using image processing algorithm;
(3) angle of orientation of sample is specified;
(4) plain cloth is counterclockwise sampled by the angle of orientation from 0 ° to 90 ° every 10 °;
(5) recovery angle measured using the angle of orientation sample parallel with plain weave grain direction characterizes tabby crease recovery Energy;
(6) the twills angle of orientation is then from 0 ° to 180 ° every 30 ° of samplings;
(7) twill crease recovery is characterized with twill oblique parallel and vertical sample recovery angle average using the angle of orientation Energy.
2. it is according to claim 1 detection grain direction image processing algorithm, it is characterised in that first to textile image Global threshold is carried out, Fast Fourier Transform (FFT) is then carried out to the textile image after binaryzation and is obtained power spectrum chart, then to power The bianry image of spectrogram carries out Hough transform, so as to draw cloth textured direction.
3. the angle of orientation according to claim 1, it is characterised in that weft direction (x-axis) inverse time of the sample from initial position Pin goes to the angle of sample doubling direction.
4. plain cloth crease resistant finishing characterizing method according to claim 1, it is characterised in that by sample by orientation Angle sampling parallel with grain direction, the recovery angle average contrast of 10 ° of samplings of recovery angle and orientation angular spacing of gained sample, the two Result is close.
5. twills crease resistant finishing characterizing method according to claim 1, it is characterised in that twills are distinguished Cut the angle of orientation and oblique parallel and vertical sample, 30 ° of samplings of sample recovery angle average and orientation angular spacing of both direction The contrast of recovery angle average, the two result is close.
CN201710248810.2A 2017-04-17 2017-04-17 One kind is based on anisotropic crease recovery properties of woven fabrics uniformization characterizing method Pending CN106898021A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109708965A (en) * 2018-11-30 2019-05-03 苏州欧尼迪纺织科技有限公司 The method for winding pressuring method test fabric morphological plasticity

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102998253A (en) * 2012-12-12 2013-03-27 江南大学 Dynamic measurement and characterization method of fabric wrinkle recovery angle
CN103336008A (en) * 2013-05-15 2013-10-02 江南大学 Device and method for dynamically detecting recoverability of fabric wrinkles
CN104616291A (en) * 2015-01-15 2015-05-13 东华大学 Sparse coding-based fabric appearance flatness evaluation method
CN104766327A (en) * 2015-04-15 2015-07-08 华侨大学 Fabric deviation detection method and system based on image
CN105844657A (en) * 2016-04-26 2016-08-10 江南大学 Dual-channel fabric fault detection method based on two-dimensional empirical mode decomposition
CN106198937A (en) * 2016-07-19 2016-12-07 江南大学 A kind of dynamic evaluation method of crease recovery properties of woven fabrics

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102998253A (en) * 2012-12-12 2013-03-27 江南大学 Dynamic measurement and characterization method of fabric wrinkle recovery angle
CN103336008A (en) * 2013-05-15 2013-10-02 江南大学 Device and method for dynamically detecting recoverability of fabric wrinkles
CN104616291A (en) * 2015-01-15 2015-05-13 东华大学 Sparse coding-based fabric appearance flatness evaluation method
CN104766327A (en) * 2015-04-15 2015-07-08 华侨大学 Fabric deviation detection method and system based on image
CN105844657A (en) * 2016-04-26 2016-08-10 江南大学 Dual-channel fabric fault detection method based on two-dimensional empirical mode decomposition
CN106198937A (en) * 2016-07-19 2016-12-07 江南大学 A kind of dynamic evaluation method of crease recovery properties of woven fabrics

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
王蕾: "基于图像技术的织物折皱回复性能研究", 《中国博士学位论文全文数据库 工程科技I辑》 *
王蕾等: "FFT和Hough变换在织物纹理方向检测上的应用", 《计算机工程与应用》 *
王蕾等: "机织物折皱回复各向异性的研究", 《纺织学报》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109708965A (en) * 2018-11-30 2019-05-03 苏州欧尼迪纺织科技有限公司 The method for winding pressuring method test fabric morphological plasticity

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Application publication date: 20170627