CN109884062B - Method for evaluating shape retention of fabric - Google Patents
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Abstract
The invention belongs to the field of textile performance detection, and particularly relates to a method for evaluating the shape retention of a fabric. The evaluation method adopts a fabric crease automatic generation and crease unfolding device for testing fabric shape retention, and comprises an operation interface system, a camera, a sample table, a crease generation area and a sample lifting device. The sample platform is composed of a left pressing block and a right pressing block, the cross section of each pressing block is in a right trapezoid shape, corners of the upper edge of each pressing block are in arc contact with a sample, the two pressing blocks are horizontally arranged on the surface of a fixing bottom plate above an operation interface system, a sample lifting device is arranged at one end of a middle shaft gap formed by the two pressing blocks, a camera is fixed at the other end of the middle shaft gap, the sample lifting device moves up and down, and the sample lifting device enables the center line of the sample to be aligned with the. The invention can provide a method for effectively and comprehensively evaluating the shape retention of the fabric, the test result is closer to the actual use condition, and the objective representation of the shape retention of the fabric and the accurate evaluation of the physical performance of the fabric are realized.
Description
Technical Field
The invention belongs to the field of textile performance detection, and particularly relates to a method for evaluating the shape retention of a fabric.
Background
With the development of the times, textiles not only are products for realizing basic purposes such as clothing, decoration, industrial use and the like, but also are endowed with characteristics such as beauty, multifunction and the like. The characteristic of the fabric for keeping the appearance in use is called shape retaining property, the shape retaining property of the fabric is closely related to usability and easy maintenance performance, and the wrinkle resistance directly influences the flatness and the appearance of the fabric and is an important index of the shape retaining property. The wrinkle refers to the irreversible deformation of the fabric under the action of external force in daily use, and the wrinkle recovery performance of the fabric directly influences the shape retention and the service life of the fabric, and is one of the most important performances for evaluating the usability of the fabric, especially in the military field, the performances are detection indexes which must be passed.
The method for evaluating the wrinkle recovery performance of the fabric can be divided into a rubbing and twisting method and a folding method according to the method for generating wrinkles in the fabric, and can be divided into an appearance method and a recovery angle method according to the evaluating method. The appearance method is to compare the sample with the standard sample and visually obtain the crease grade to represent the crease performance of the fabric. Since the late 20 th century and the 80 s, machine vision techniques and image processing techniques have been used extensively in research to reduce the subjectivity of fabric appearance smoothness ratings. The test method of the angle recovery method is that a sample is folded and pressurized for 5min under a specified condition, after the load is removed, the sample automatically recovers for 5min, then the crease recovery angle is measured, and the measured angle data represents the crease recovery capability of the fabric. The sample sizes were 40 mm. times.15 mm.
At present, although the evaluation method for measuring the wrinkle recovery performance of the fabric by the recovery angle is used for decades in the world and the country, the research work for automatically detecting the performance is still in the exploration stage, and only few researches on the automatic detection of the wrinkle recovery performance of the fabric are carried out up to now through the detailed search of relevant documents at home and abroad. In addition, the recovery angle is used as an evaluation index singly, so that the wrinkle recovery of the fabric cannot be accurately measured, and the shape-preserving effect cannot be reflected.
Aiming at the problems, the invention provides a novel method for evaluating the shape retention of a fabric, which simulates the process of re-expanding the fabric when the fabric is pressed in the using process, acquires a video image of the process of expanding the wrinkle by a machine vision technology, and adopts a video image processing algorithm to extract an index for evaluating the shape retention of the fabric, thereby realizing the accurate and comprehensive evaluation of the shape retention of the fabric.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method can effectively simulate the shape-keeping effect of the fabric in the using process and comprehensively evaluate the shape-keeping property of the fabric, and can realize objective representation of the shape-keeping effect of the fabric and accurate evaluation of the physical property of the fabric.
According to the technical scheme provided by the invention, the crease is generated by lifting the fabric through an automatic control technology, and then the crease is recovered under the action of gravity. By means of a video image method, video images of the fabric crease recovery process are collected, detection of each shape-preserving index of each frame of image is achieved, and therefore the purpose of accurately evaluating the shape-preserving property of the fabric is achieved.
The technical scheme of the invention is as follows:
a fabric crease automatic generation and crease unfolding device for testing fabric conformality comprises an operation interface system, a camera, a sample table, a crease generation area and a sample lifting device.
The test sample platform consists of a left press block and a right press block, the cross section of each press block is in a right trapezoid shape, the corners of the upper edge are in arc contact with a test sample, the two press blocks are horizontally arranged on the surface of a fixed base plate above the control interface system, a test sample lifting device is arranged at one end of a middle shaft gap formed by the two press blocks, a camera is fixed at the other end of the middle shaft gap, the test sample lifting device moves up and down, and the center line of the test sample is aligned with the middle shaft gap of the; a left pressurizing mechanism and a right pressurizing mechanism are arranged above the sample table, the left pressurizing mechanism and the right pressurizing mechanism form a crease generation area, and the left pressurizing mechanism and the right pressurizing mechanism pressurize the central line of the sample; the sample lifting device moves along the vertical direction of the position of the middle shaft gap of the sample table, the initial time is at the lowest position, the sample is lifted to the crease generation area after the experiment, the sample is pressurized, and the sample lifting device descends rapidly after the pressurization is finished, so that the sample develops creases under the action of the sample table and the dead weight; the upper cover housing is arranged on the integral upper surface, and the experiment process is guaranteed not to be interfered by external factors.
The control interface system is connected with the sample lifting device, the camera and the pressurizing mechanism of the crease generation area, so that pressure adjustment and pressurizing time adjustment of the crease generation area, rising time adjustment of the sample lifting device and action matching adjustment between the crease generation area and the sample lifting device are realized; the camera is aligned with the sample table and shoots a video image of the sample section crease recovery process;
the control interface system integrates a video image processing program and result output, the video image processing soft system realizes evaluation index test results of evaluating fabric shape retention such as vertex angle, top height, shape retention area and the like of each frame of video image, and the image processing mainly comprises the steps of video single-frame image extraction, image preprocessing, image binarization, image morphological operation, identification of the vertex angle position of a sample crease and the contact position of the sample and a sample table, calculation of each index and result output.
A method for evaluating the shape retention of a fabric comprises the following steps:
step 1: and setting pressure for generating crease, pressurizing time and interval time between the time when the sample lifting device rises to the highest point and the time when the sample lifting device starts to pressurize in an operation interface system, placing the sample on a sample table, enabling the center line of the sample to be flush with the gap of the middle shaft of the sample table, and freely suspending parts, which are longer than the sample table, of two sides of the sample in the device.
Step 2: the sample lifting device jacks up the central line of the sample, so that part of the sample enters the crease generation area, after the interval time is reached, the left and right pressurizing mechanisms in the crease generation area move towards the middle to pressurize the sample, after the pressurizing time is reached, the left and right pressurizing mechanisms move in reverse directions, meanwhile, the sample lifting device descends to the bottom end, the sample develops creases on the sample table, and the camera records a video image of the movement of the sample.
And step 3: processing the video image of the fabric crease unfolding by the control interface system, extracting a single-frame video image, preprocessing the video image, enhancing the brightness of the sample and weakening the background brightness; and then carrying out binarization processing on the image, and converting the sample into a connected curve with a single pixel width by a thinning algorithm.
And 5: identifying the vertex at the crease, two contact points of two sides of the sample and the sample table from the communicated curve, calculating the angle of the vertex angle to be the vertex angle, calculating the shortest distance from the vertex to the connecting line of the two contact points to be the vertex height, and calculating the area formed by the communicated curve and the connecting line of the two contact points to be the shape-preserving area.
Step 6: three indexes for evaluating the shape retention of the fabric are extracted from the test result, wherein the three indexes comprise a first index, a second index and a third index.
The first index is a vertex angle which reflects the recovery condition of the crease of the fabric after being pressed, and the sample recovery process is influenced by the dead weight of the sample table and the sample to simulate the process of unfolding the fabric under external force after being pressed and wrinkled in daily use. The smaller the vertex angle is, the more easily the fabric wrinkles; otherwise, the corrugated paper is not easy to wrinkle.
The second index is the jacking height, which reflects the drapability condition of the fabric. The higher the top height is, the poorer the drapability of the fabric is; otherwise, the drapability is better.
The third index is the shape-preserving area, which reflects the overall shape-preserving condition of the fabric. The larger the shape-preserving area is, the stiffer and poorer drapability of the fabric is shown; otherwise, the fabric is softer and has better drapability.
And 7: three shape-preserving indexes are obtained by carrying out experiments on different samples, and the wrinkle recovery performance and the drapability of the fabric are predicted according to the three indexes.
Y1＝a1+b1X1+c1X2+d1X3
Y2＝a2+b2X1+c2X2+d2X3
Formula (II) and (III)1Indicating a predicted value of a wrinkle recovery angle, Y2Denotes the predicted value of the drape coefficient, X1Denotes a first index, X2Denotes a second index, X3Represents a third index, a1、b1、c1、d1、a2、b2、c2、d2The fabric is obtained by multiple linear regression of three measured values of shape retention index, wrinkle recovery and drapability of the fabric.
The invention has the beneficial effects that: the invention can provide a method for effectively and comprehensively evaluating the shape retention of the fabric, the test result is closer to the actual use condition, and the objective representation of the shape retention of the fabric and the accurate evaluation of the physical performance of the fabric are realized.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
Figure 2 is a sample crease recovery image.
In the figure, 1 operates an interface system; 2, a camera; 3, a sample table; 4, a crease generation area; 5, a sample lifting device; 6, covering the cover.
Detailed Description
The following detailed description of specific embodiments of the present invention is provided in connection with the accompanying drawings.
A method for evaluating the shape retention of a fabric comprises the following steps:
step 1: the pressure for generating crease, the pressurizing time and the interval time between the sample lifting device 5 rising to the highest point and the pressurizing start are set in the control interface system 1, the sample is placed on the sample table, the central line is flush with the center seam of the sample table 3, and the parts of two sides of the sample, which are longer than the sample table, are hung in the device.
Step 2: starting the experiment, the sample lifting device 5 jacks up the center line of the sample, so that part of the sample enters the crease generation area 4, after the interval time is reached, the left and right pressurizing mechanisms of the crease generation area 4 move towards the middle to pressurize the sample, after the pressurizing time is reached, the left and right pressurizing mechanisms move reversely, meanwhile, the sample lifting device 5 descends to the bottom end, the sample develops the crease on the sample table 3, and the camera 2 records the video image of the movement of the sample.
And step 3: the system processes the video image of the unfolding of the face fabric crease, extracts a single-frame video image, preprocesses the video image, enhances the brightness of the sample and weakens the background brightness; and then carrying out binarization processing on the image, and changing the sample part into a connected curve with a single pixel width by a thinning algorithm.
And 5: identifying the vertex at the crease, two contact points of two sides of the sample and the sample table 3 from the communicated curve, calculating the angle of the vertex angle to be the vertex angle, calculating the shortest distance from the vertex to the connecting line of the two contact points to be the vertex height, and calculating the area formed by the communicated curve and the connecting line of the two contact points to be the shape-preserving area.
Step 6: three indexes for evaluating the shape retention of the fabric are extracted from the test result, wherein the three indexes comprise a first index vertex angle, a second index vertex height and a third index shape retention area.
And 7: three shape-preserving indexes are obtained by carrying out experiments on different samples, and the wrinkle recovery performance and the drapability of the fabric are predicted according to the three indexes. And the recovery angle and the drape coefficient are predicted by equations (3) and (4).
Y1＝-67+X1-15.2X2+3.9X3 (3)
Y2＝19.2+0.4X1-11.9X2+2.47X3 (4)
Y in the formulae (3) and (4)1Indicating a predicted value of a wrinkle recovery angle, Y2Denotes the predicted value of the drape coefficient, X1Denotes a first index, X2Denotes a second index, X3Representing a third index. And the prediction of the shape retention of the fabric is realized.
The specifications of the 3 pure cotton plain weave fabrics are respectively as follows: the warp and weft yarn count of the cloth 1 is 40SLongitude and latitude 135 × 92; the warp and weft yarn count of the cloth 2 is 50SThe longitude and latitude density is 118 multiplied by 68; the warp and weft yarn count of the cloth 3 is 25SAnd the longitude and latitude density is 74 multiplied by 64. Five samples were tested under 10N pressure for 10 seconds, and the results are shown in Table 1.
TABLE 1 test results
The correlation of the prediction result of the wrinkle recovery angle reaches 98%, and the correlation of the prediction result of the suspension coefficient reaches 98%.
Claims (3)
1. The method for evaluating the shape retention of the fabric is characterized by comprising the following steps of:
step 1: setting pressure, pressurization time and interval time for generating crease marks on an operation interface system (1), and placing a sample on a sample table (3) to enable the central line of the sample to be flush with a middle shaft gap of the sample table (3);
step 2: the sample lifting device (5) jacks up the central line of the sample, so that the sample enters the crease generation area (4), after the interval time is reached, the left and right pressurizing mechanisms of the crease generation area (4) move towards the middle to pressurize the sample, after the pressurizing time is reached, the left and right pressurizing mechanisms move in reverse directions, meanwhile, the sample lifting device (5) descends to the bottom end, the sample develops creases on the sample table (3), and the camera (2) records a video image of the movement of the sample;
and step 3: the control interface system (1) processes the video image of the unfolding of the surface material crease, extracts a single-frame video image, preprocesses the video image, enhances the brightness of a sample and weakens the background brightness; then carrying out binarization processing on the image, and converting the sample into a communicating curve with a single pixel width by a thinning algorithm;
and 4, step 4: identifying the vertex at the crease, two contact points of two sides of the sample and the sample table (3) from the communication curve, calculating the angle of the vertex angle to be the vertex angle, calculating the shortest distance from the vertex to the connecting line of the two contact points to be the vertex height, and calculating the area formed by the communication curve and the connecting line of the two contact points to be the shape-preserving area;
and 5: extracting three indexes for evaluating the shape retention of the fabric from the test result, wherein the three indexes comprise a first index, a second index and a third index;
the first index is a vertex angle, and reflects the recovery condition of the crease of the fabric after being pressed;
the second index is the jacking height, which reflects the drapability condition of the fabric;
the third index is the shape-preserving area, which reflects the overall shape-preserving condition of the fabric;
step 6: three shape-preserving indexes are obtained by performing experiments on different samples, and the wrinkle recovery performance and the drapability of the fabric are predicted according to the three indexes;
Y1＝a1+b1X1+c1X2+d1X3 (1)
Y2＝a2+b2X1+c2X2+d2X3 (2)
y in the formulae (1) and (2)1Indicating a predicted value of a wrinkle recovery angle, Y2Denotes the predicted value of the drape coefficient, X1Denotes a first index, X2Denotes a second index, X3Represents a third index, a1、b1、c1、d1、a2、b2、c2、d2The fabric is obtained by multiple linear regression of three measured values of shape retention index, wrinkle recovery and drapability of the fabric.
2. The method for evaluating the shape retention of the fabric according to claim 1, wherein the method for evaluating adopts an automatic crease generation and unfolding device, and the automatic crease generation and unfolding device comprises a control interface system (1), a camera (2), a sample table (3), a crease generation area (4) and a sample lifting device (5);
the test sample platform (3) is composed of a left press block and a right press block, the cross section of each press block is in a right trapezoid shape, corners of the upper edge of each press block are in arc contact with a test sample, the two press blocks are horizontally arranged on the surface of a fixed base plate above the control interface system (1), a test sample lifting device (5) is arranged at one end of a middle shaft gap formed by the two press blocks, a camera (2) is fixed at the other end of the middle shaft gap, the test sample lifting device (5) moves up and down, and the center line of the test sample is aligned with the middle shaft gap of the; a left pressurizing mechanism and a right pressurizing mechanism are arranged above the sample table (3) and pressurize the central line of the sample; the sample lifting device (5) moves along the vertical direction of the axis gap position of the sample table (3), the initial time is at the lowest position, the sample is lifted to the crease generation area (4) after the experiment, and the sample lifting device (5) rapidly descends after the pressurization is finished, so that the sample develops creases under the action of the sample table (3) and the dead weight; the upper cover cap 6 covers the upper surface of the whole body;
the control interface system (1) is connected with the sample lifting device (5), the camera (2) and a left pressurizing mechanism and a right pressurizing mechanism of the crease generation area (4) to realize pressure regulation and pressurizing time regulation on the crease generation area (4), the rise time regulation on the sample lifting device (5) and the regulation of action matching between the crease generation area (4) and the sample lifting device (5); the camera (2) is aligned with the sample table (3) and shoots a video image of the sample section crease recovery process.
3. The method for evaluating the fabric conformality according to claim 2, wherein the step of processing the fabric fold unfolding video image by the control interface system (1) comprises video single-frame image extraction, image preprocessing, image binarization, image morphology operation, identification of the sample fold vertex angle position and the contact position of the sample and the sample table (3), index calculation and result output.
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