CN114487363A - Method for detecting wrinkle removing effect of cotton fabric - Google Patents
Method for detecting wrinkle removing effect of cotton fabric Download PDFInfo
- Publication number
- CN114487363A CN114487363A CN202210407197.5A CN202210407197A CN114487363A CN 114487363 A CN114487363 A CN 114487363A CN 202210407197 A CN202210407197 A CN 202210407197A CN 114487363 A CN114487363 A CN 114487363A
- Authority
- CN
- China
- Prior art keywords
- cotton
- wrinkle
- removing effect
- wrinkle removing
- fabric
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/36—Textiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/30—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring roughness or irregularity of surfaces
Abstract
The invention relates to a method for detecting wrinkle removing effect of cotton fabrics, which comprises the steps of obtaining smoothness and water content of each cotton fabric at different moments within a set time period in the wrinkle removing process; calculating wrinkle-removing effect coefficients at different moments to obtain wrinkle-removing effect coefficient sequences of the cotton fabrics, calculating the consistency degree of any two cotton fabrics in the wrinkle-removing process to obtain different groups of cotton fabric groups, judging whether elements which are larger than or equal to a set threshold value exist in the wrinkle-removing effect sequences of the corresponding cotton fabrics or not when the single group exists, and if the elements exist, determining that the wrinkle-removing treatment of the cotton fabrics is qualified; and when the combination group is adopted, the fabric counts of the cotton fabrics in the group are obtained, the wrinkle removing effect index of the combination group is determined according to the ratio of the fabric counts of the cotton fabrics in the group and the corresponding wrinkle removing effect mean value, and when the wrinkle removing effect index is larger than or equal to a set threshold value, the wrinkle removing treatment of the cotton fabrics in the combination group is qualified. Namely, the scheme of the invention can detect the wrinkle removing effect of the cotton fabric and can also improve the detection efficiency.
Description
Technical Field
The invention relates to the technical field of cotton fabric detection, in particular to a method for detecting a wrinkle removing effect of cotton fabric.
Background
Cotton fabrics are products of cloth or clothing woven from cotton yarn or thread. It need carry out certain detection to it after production is accomplished, when detecting that cotton fabric surface is comparatively wrinkled, need remove the wrinkle to it and handle, current generally all adopt the wrinkle chasing device to remove the wrinkle to it and handle.
However, the existing wrinkle removing device for detection removes wrinkles according to uniform control parameters, namely, the wrinkle removing processing time of the wrinkle removing device is fixed and unchanged no matter what fabric density is adopted, and the wrinkle removing effect of cotton fabrics after wrinkle removing processing is not detected, namely, whether the cotton fabrics subjected to wrinkle removing processing are qualified is detected. Therefore, a method for detecting the wrinkle-removed cotton is urgently needed.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a method for detecting the wrinkle removing effect of cotton fabrics, which adopts the following technical scheme:
the invention provides a technical scheme of a method for detecting the wrinkle removing effect of cotton fabrics, which comprises the following steps:
acquiring smoothness and water content of each cotton fabric at different moments within a set time period in the wrinkle removing process;
calculating wrinkle-removing effect coefficients at different moments in real time based on the smoothness and the corresponding water content at each moment, and further obtaining a wrinkle-removing effect coefficient sequence of each cotton fabric;
calculating the consistency degree of any two cotton fabrics in the wrinkle removing process according to the wrinkle removing effect coefficient sequence of each cotton fabric;
classifying the cotton fabrics according to the consistency degree to obtain different groups of cotton fabric groups, wherein the cotton fabric groups comprise a single group of only one type of cotton fabric and/or a combined group of at least two types of cotton fabrics;
if the single group of the cotton fabric wrinkle removing effect coefficient sequence is a single group, judging whether elements which are larger than or equal to a set threshold value exist in the wrinkle removing effect coefficient sequence of the corresponding cotton fabric, and if the elements exist, the wrinkle removing treatment of the cotton fabric is qualified;
and when the combination group is adopted, the fabric counts of the cotton fabrics in the group are obtained, the wrinkle removing effect index of the combination group is determined according to the ratio of the fabric counts of the cotton fabrics in the group and the corresponding wrinkle removing effect coefficient mean value, and when the wrinkle removing effect index is larger than or equal to a set threshold value, the wrinkle removing treatment of the cotton fabrics in the combination group is qualified.
Further, the wrinkle removing effect coefficient is as follows:
wherein, PiSmoothness corresponding to the collected ith moment; l isiThe water content corresponding to the collected ith moment.
Further, the number of the fabric is detected by a density measuring instrument; the smoothness is obtained by adopting a smoothness tester to collect smoothness of cotton fabrics in a wrinkle removing process in real time; the water content is acquired in real time by adopting an induction type textile raw material moisture meter.
Further, the consistency degree is obtained by multiplying the correlation of the wrinkle removing effect sequences of any two cotton fabrics by the reciprocal of the mean difference of the smoothness sequences of the two corresponding cotton fabrics.
Further, the wrinkle removing effect indexes are as follows: u shapeGroup=
Wherein the content of the first and second substances,
is the ratio of the number of the plus materials of the n-th cotton fabrics in the combined group to the sum of the number of the plus materials of all the cotton fabrics in the combined group,
the sequence of the wrinkle removing effect coefficient of the nth cotton fabric in the combined group is shown.
The invention has the following beneficial effects:
according to the scheme, the wrinkle removing effect sequence in the corresponding set time period is obtained by detecting the smoothness and the water content of the cotton in the wrinkle removing process, and the consistency degree of the wrinkle removing processes of any two cotton can be determined based on the wrinkle removing effect sequence and the smoothness data, so that the similarity degree of the two cotton can be further determined, and a basis is provided for subsequent classification of each cotton; meanwhile, based on the classified different cotton fabric groups, whether the wrinkle removing treatment of the cotton fabrics of each group is qualified or not is analyzed; meanwhile, in a cotton fabric group comprising a plurality of cotton fabrics, the invention determines the influence degree of the cotton fabrics in the group by acquiring the fabric counts of the cotton fabrics, and combines the influence degree with the corresponding wrinkle removing effect sequence of the cotton fabrics, so that the wrinkle removing effect index of the group can be determined, and the influence of different cotton fabric examples is eliminated.
Meanwhile, the cotton fabrics are grouped according to the number of the fabrics, the similar cotton fabrics can be classified into one class, and although the fabric components are different, a reasonable wrinkle removing effect index can still be given to perform unified evaluation on the group of similar cotton fabrics, namely the wrinkle removing treatment efficiency is obviously improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for detecting the wrinkle removing effect of cotton fabrics according to the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the embodiments, structures, features and effects thereof according to the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the method for detecting the wrinkle removing effect of the cotton fabric in detail by combining with the accompanying drawings.
The specific scenes aimed by the invention are as follows: the wrinkle removing device for detection is used for removing wrinkles of cloth or clothes, and the wrinkle removing effect in the wrinkle removing process is detected.
Specifically, referring to fig. 1, a flow chart of steps of a method for detecting a wrinkle removing effect of a cotton fabric according to an embodiment of the present invention is shown, where the method includes the following steps:
step 1, obtaining smoothness and water content of each cotton fabric at different moments within a set time period in a wrinkle removing process.
Wherein, the smoothness of each cotton fabric in the wrinkle removing process is collected in real time by a cotton fabric smoothness tester. It should be noted that, in the present embodiment, smoothness acquisition may be performed from wrinkle removal, which is measured every 2s, with an acquisition frequency of 1hz, or may be performed in real time after a set period of time from wrinkle removal, that is, smoothness acquisition is performed after a period of time from wrinkle removal.
The reason why the acquired set time period needs to be set according to experience of time required for wrinkle removal of cotton fabrics is that the set time period in the embodiment is slightly longer than the time required by experience, because the content of the fabric of the cotton fabrics is different, the time required for wrinkle removal treatment has errors, the data acquired in the set time period in the embodiment has better and better wrinkle removal effect along with the time of wrinkle removal treatment as much as theory, and the wrinkle removal is qualified until the wrinkle removal is finished.
The cotton product has good hygroscopicity, soft hand feeling, sanitary and comfortable wearing, but is easy to wrinkle, obvious wrinkle is generated when the cotton product is loosened after being grasped by hands, the cotton product is not easy to recover, and the cotton fiber also has strong hygroscopicity, so that the cotton fiber is expanded after the cotton fiber absorbs moisture, and the cotton yarn is shortened and deformed. After the cotton product absorbs water, the fiber structure inside is combined with water molecules, and due to the fact that hydrogen bonds exist among the water molecules, the hydrogen bonds are disconnected in the airing process, so that the distance between fiber molecules is reduced, and the cotton product can also become wrinkled. Therefore, the self-smoothness of the cotton fabric is improved in the wrinkle removing process.
Wherein, the water content of each cotton fabric in the wrinkle removing process is collected in real time through an induction type textile raw material moisture meter; the induction type textile material moisture meter is attached to the surface of the cotton fabric, and the moisture meter adopts the electromagnetic wave scanning principle, so that the water content L of the cotton fabric can be measured. The moisture content collected in this example corresponds to the smoothness one to one.
It should be noted that the shrinkage phenomenon of the cotton fabric is mostly caused by the fact that the cotton fabric absorbs water, the cotton fibers have strong water absorption, and the cotton fibers swell after absorbing water, so that the cotton yarns shorten and deform, and therefore, in the wrinkle removing process of the cotton fabric, the water content of the cotton fabric is continuously reduced, and the wrinkle removing effect can be evaluated by using the index of the water content.
And 2, calculating the wrinkle removing effect coefficients at different moments based on the smoothness and the corresponding water content at all moments, and further obtaining the wrinkle removing effect coefficient sequence of all cotton fabrics.
The wrinkle removing effect coefficient of the cotton fabric in this embodiment at each time is:
wherein, PiSmoothness corresponding to the collected ith moment; l isiThe water content corresponding to the collected ith moment.
In the formula, the whole wrinkle-removing effect sequence is normalized to obtain a wrinkle-removing effect coefficient U with a value range of [0,1 ]. When the value approaches 1, the wrinkle removing effect is considered to be better; when the value approaches 0, the wrinkle removing effect of the cotton is considered to be poor. Wherein, in the wrinkle removing process, the smoothness of the fabric is gradually improved, namely the value of P is increased; in the wrinkle removing process, the water content is required to be less and less, namely the value of L is smaller and smaller, the excessive water content can swell cotton fibers to cause shrinkage deformation, and therefore, a cotton fabric wrinkle removing effect coefficient sequence is obtained based on the smoothness sequence and the water content sequence, namely, the cotton fabric wrinkle removing effect coefficient sequence can be used for judging the wrinkle removing effect of single cotton fabrics.
And 3, calculating the consistency of any two cotton fabrics in the wrinkle removing process according to the wrinkle removing effect coefficient sequence of each cotton fabric.
The consistency degree is obtained by multiplying the correlation of the wrinkle removing effect sequences of any two cotton fabrics by the reciprocal of the mean difference of the smoothness sequences of the two corresponding cotton fabrics.
Specifically, the degree of coincidence between any two cotton fabrics is:
wherein the content of the first and second substances,
is the wrinkle removing effect sequence of the cotton fabrics of the A type,
is the wrinkle removing effect sequence of the cotton fabrics of the B-th type,
is the variance of the wrinkle-removing effect sequence of the cotton of the A-th kind,
the variance of the wrinkle-removing effect sequence of the B-th cotton,
is the covariance of the wrinkle-removing effect sequence of the cotton of the A-th kind and the wrinkle-removing effect sequence of the cotton of the B-th kind,
the smoothness series for the cotton of type a,
smoothness series for cotton of type B.
Wherein the content of the first and second substances,
calculating the Pearson correlation coefficient of two different cotton fabrics, and considering that the wrinkle removing effect of the two cotton fabrics is more similar when the value approaches to 1;
) Is the absolute difference of the mean of the two smoothness sequences.
Thus, the similarity of the wrinkle removing effect between the cotton fabrics A and B is obtained. And repeating the calculation to obtain the similarity of the wrinkle removing effect between every two cotton fabrics in the textile mill.
Step 4, classifying the cotton fabrics according to the consistency degree to obtain different groups of cotton fabric groups, wherein the cotton fabric groups comprise a single group of only one type of cotton fabric and/or a combination group of at least two types of cotton fabrics;
if the single group of the cotton fabric wrinkle removing effect coefficient sequence is a single group, judging whether elements which are larger than or equal to a set threshold value exist in the wrinkle removing effect coefficient sequence of the corresponding cotton fabric, and if the elements exist, the wrinkle removing treatment of the cotton fabric is qualified;
and when the combination group is adopted, the fabric counts of the cotton fabrics in the group are obtained, the wrinkle removing effect index of the combination group is determined according to the ratio of the fabric counts of the cotton fabrics in the group and the corresponding wrinkle removing effect coefficient mean value, and when the wrinkle removing effect index is larger than or equal to a set threshold value, the wrinkle removing treatment of the cotton fabrics in the combination group is qualified.
Based on the content of step 3, in this embodiment, in order to improve the efficiency of evaluating the wrinkle removing effect of each piece of cotton, it is necessary to perform in-cabinet processing on each piece of cotton, that is, converting the degree of consistency into the sample distance used for classification, and grouping each piece of cotton.
For clustering, it is necessary to convert the similarity into clustersRequired sample distance:
wherein A and B represent two different kinds of cotton fabrics. And repeating the calculation to obtain the similarity of the wrinkle removing effect coefficients of every two cotton fabrics required by clustering.
In this embodiment, after the sample distance is obtained, since the sample distance is in a virtual space, the clustering method based on the euclidean distance cannot be directly used, and the density clustering method based on the DBSCAN is used in the present invention. Specifically, after the sample distance is obtained, because the sample distance is in a virtual space, the clustering method based on the Euclidean distance cannot be directly used, and the density clustering method based on the DBSCAN is used in the invention; due to the characteristics of DBSCAN, several isolated data samples and/or multiple sample groups of cotton are obtained, so it is necessary to analyze the wrinkle removing effect of the obtained different groups.
In this embodiment, the wrinkle-removing effect of the isolated data sample is compared with the set threshold value for the isolated data sample that is not grouped, and when the wrinkle-removing effect is equal to or greater than the set threshold value, the isolated data sample is considered to be qualified in the wrinkle-removing treatment of the cotton goods.
In this embodiment, for a plurality of sample groups of cotton fabrics, the wrinkle removing index of the group is obtained and compared with a set threshold value, so as to determine whether the wrinkle removing treatment of the group is qualified.
Specifically, the wrinkle removal effect indexes of the sample group are as follows: u shapeGroup=
Wherein the content of the first and second substances,
is the ratio of the number of the plus materials of the n-th cotton fabrics in the combined group to the sum of the number of the plus materials of all the cotton fabrics in the combined group,
is the n-th in the merged groupThe wrinkle removing effect sequence of the cotton.
In the above
Is the ratio of the corresponding cotton in the sample group, i.e. the influence of the cotton in the group; because the cotton fabrics similar to the wrinkle removing treatment in the wrinkle removing process are grouped, the cotton fabrics are actually different from one another, and therefore different influences of the fabric counts of the cotton fabrics need to be considered.
The fabric count of the cotton is obtained by detecting the cotton by using a density measuring instrument.
Specifically, the fabric count (fabric density) refers to the number of warp yarns or weft yarns in a unit length of the fabric; the larger the fabric count, the more likely the fabric will collapse. Generally, the practical value of the fabric is 30-80, because the higher the number of the fabric is, the softer the hand feeling of the fabric is, the more sticky the fabric is, the poorer the stiffness and smoothness is, and the more easily wrinkles appear.
The set threshold value in the above is 0.9, that is, when the wrinkle removal effect coefficient is 0.9 or more, the wrinkle removal process is considered to be acceptable.
Furthermore, the invention can adjust the relevant working parameters of the wrinkle removing device according to the obtained wrinkle removing effect of each cotton fabric, so that the corresponding wrinkle removing treatment can be carried out on different cotton fabrics, thereby improving the wrinkle removing effect and saving resources.
It should be noted that the coefficient can only judge the wrinkle removing effect of the single cotton in the wrinkle removing treatment; under the scene of a cotton fabric factory, the wrinkle removing effect numerical value of a single cotton fabric does not have practical value, so that various cotton fabric wrinkle removing effects are grouped, similar cotton fabric wrinkle removing effect indexes are determined through classification and used for evaluating the wrinkle removing effects of similar or same cotton fabrics, and whether the cotton fabrics are qualified or not is determined without comparing each cotton fabric with a set threshold value.
According to the scheme provided by the invention, the wrinkle removing treatment time of the cotton fabric can be determined and evaluated by detecting the wrinkle removing effect in the wrinkle removing process, so that when the wrinkle removing treatment is carried out on the current fabric in the follow-up process, the wrinkle removing effect index of the fabric can be determined by only judging which group the cotton fabric belongs to and combining the fabric count of the current fabric, and meanwhile, according to the evaluation on the wrinkle removing effect of the cotton fabric, a basis is provided for the adjustment of the control parameters of the wrinkle removing device for detection.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A method for detecting the wrinkle removing effect of cotton fabrics is characterized by comprising the following steps:
acquiring smoothness and water content of each cotton fabric at different moments within a set time period in the wrinkle removing process;
calculating wrinkle-removing effect coefficients at different moments based on the smoothness and the corresponding water content at each moment, and further obtaining a wrinkle-removing effect coefficient sequence of each cotton fabric;
calculating the consistency degree of any two cotton fabrics in the wrinkle removing process according to the wrinkle removing effect coefficient sequence of each cotton fabric;
classifying the cotton fabrics according to the consistency degree to obtain different groups of cotton fabric groups, wherein the cotton fabric groups comprise a single group of only one type of cotton fabric and/or a combined group of at least two types of cotton fabrics;
if the single group of the cotton fabric wrinkle removing effect coefficient sequence is a single group, judging whether elements which are larger than or equal to a set threshold value exist in the wrinkle removing effect coefficient sequence of the corresponding cotton fabric, and if the elements exist, the wrinkle removing treatment of the cotton fabric is qualified;
and when the combination group is adopted, the fabric counts of the cotton fabrics in the group are obtained, the wrinkle removing effect index of the combination group is determined according to the ratio of the fabric counts of the cotton fabrics in the group and the corresponding wrinkle removing effect coefficient mean value, and when the wrinkle removing effect index is larger than or equal to a set threshold value, the wrinkle removing treatment of the cotton fabrics in the combination group is qualified.
2. The method for detecting the wrinkle removing effect of cotton textiles according to claim 1, wherein the wrinkle removing effect coefficient is as follows:
wherein, PiSmoothness corresponding to the collected ith moment; l isiThe water content corresponding to the collected ith moment.
3. The method for detecting the wrinkle-removing effect of cotton goods as claimed in claim 1,
the smoothness is obtained by adopting a smoothness tester to collect smoothness of cotton fabrics in the wrinkle removing process in real time; the water content is acquired in real time by adopting an induction type textile raw material moisture meter; the number of the fabric is detected by a density measuring instrument.
4. The method for detecting the wrinkle removing effect of cotton textiles according to claim 1, wherein the consistency degree is obtained by multiplying the correlation of the wrinkle removing effect sequences of any two cotton textiles by the inverse of the mean difference of the smoothness sequences of the two cotton textiles.
5. The method for detecting the wrinkle removing effect of cotton fabrics according to claim 1, wherein the wrinkle removing effect indexes are as follows: u shapeGroup=
Wherein the content of the first and second substances,
is the ratio of the number of the plus materials of the n-th cotton fabrics in the combined group to the sum of the number of the plus materials of all the cotton fabrics in the combined group,
the sequence of the wrinkle removing effect coefficient of the nth cotton fabric in the combined group is shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210407197.5A CN114487363B (en) | 2022-04-19 | 2022-04-19 | Method for detecting wrinkle removing effect of cotton fabric |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210407197.5A CN114487363B (en) | 2022-04-19 | 2022-04-19 | Method for detecting wrinkle removing effect of cotton fabric |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114487363A true CN114487363A (en) | 2022-05-13 |
| CN114487363B CN114487363B (en) | 2022-06-28 |
Family
ID=81489273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210407197.5A Active CN114487363B (en) | 2022-04-19 | 2022-04-19 | Method for detecting wrinkle removing effect of cotton fabric |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114487363B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105606424A (en) * | 2016-03-21 | 2016-05-25 | 任亮 | Standard sample for grading color fastness to perspiration of cotton cloth and preparation method thereof |
| CN105842158A (en) * | 2016-03-21 | 2016-08-10 | 浠讳寒 | Cotton cloth color-fastness-to-rubbing grading standard sample and preparation method thereof |
| CN105842023A (en) * | 2016-03-21 | 2016-08-10 | 浠讳寒 | Cotton cloth color-fastness-to-water grading standard sample and preparation method thereof |
| CN113578687A (en) * | 2021-08-13 | 2021-11-02 | 海南赛诺实业有限公司 | Coating wrinkle removing device and coating production equipment |
-
2022
- 2022-04-19 CN CN202210407197.5A patent/CN114487363B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105606424A (en) * | 2016-03-21 | 2016-05-25 | 任亮 | Standard sample for grading color fastness to perspiration of cotton cloth and preparation method thereof |
| CN105842158A (en) * | 2016-03-21 | 2016-08-10 | 浠讳寒 | Cotton cloth color-fastness-to-rubbing grading standard sample and preparation method thereof |
| CN105842023A (en) * | 2016-03-21 | 2016-08-10 | 浠讳寒 | Cotton cloth color-fastness-to-water grading standard sample and preparation method thereof |
| CN113578687A (en) * | 2021-08-13 | 2021-11-02 | 海南赛诺实业有限公司 | Coating wrinkle removing device and coating production equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114487363B (en) | 2022-06-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hanbay et al. | Fabric defect detection systems and methods—A systematic literature review | |
| Hosseini Ravandi et al. | Fourier transform analysis of plain weave fabric appearance | |
| US6650779B2 (en) | Method and apparatus for analyzing an image to detect and identify patterns | |
| Wang et al. | Fabric texture analysis using computer vision techniques | |
| Arivazhagan et al. | Fault segmentation in fabric images using Gabor wavelet transform | |
| CN107515220B (en) | Yarn blackboard hairiness amount detection and evaluation method based on image processing | |
| Zhang et al. | A review of fabric identification based on image analysis technology | |
| Schneider et al. | Blind weave detection for woven fabrics | |
| Banumathi et al. | Fabric inspection system using artificial neural networks | |
| Shi et al. | Fabric defect detection using local contrast deviations | |
| CN116523899A (en) | Textile flaw detection method and system based on machine vision | |
| CN114487363B (en) | Method for detecting wrinkle removing effect of cotton fabric | |
| Conci et al. | A computer vision approach for textile inspection | |
| Wang et al. | Recognition of fabric density with quadratic local extremum | |
| CN103163138A (en) | Testing method for yarn uniformity in a woven fabric based on fast Fourier Transform | |
| Saharkhiz et al. | The performance of different clustering methods in the objective assessment of fabric pilling | |
| CN108596249B (en) | Image feature extraction and classification method and device | |
| CN116341235A (en) | Case performance optimization method and system | |
| Li et al. | A direct measurement method of yarn evenness based on machine vision | |
| Wang et al. | A new method for measuring carpet texture change | |
| Nisha et al. | Survey on various defect detection and classification methods in fabric images | |
| Kaplan et al. | Detection of Warp Elongation in Satin Woven Cotton Fabrics Using Image Processing | |
| Chen et al. | Adaptive gabor filtering for fabric defect inspection | |
| CN103163139A (en) | Testing method for yarn uniformity in a woven fabric based on wavelet transform | |
| CN111340759A (en) | Appearance detection method of yarn three-dimensional model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |