Method and system for measuring drape of a textile fabric with different directions of warp and weft

Abstract

The application provides a kind of textile fabric drape measurement method and system that shows warp and weft anisotropy, which comprises: aligning the center of square textile fabric sample and covering it on square support platform in parallel; collecting stable overhead image after sample droops due to gravity; processing the image to obtain drape profile information; determining drape spacing along warp and weft of sample as characteristic value based on the profile; and evaluating warp and weft drape performance independently according to the characteristic value. The application can make the textile fabric to be tested form a stable drape shape with clear directional characteristics, and obtain independent warp and weft drape quantitative indicators in a single test, directly representing the warp and weft anisotropy of the fabric. The test has good repeatability and is easy to operate, providing a reliable basis for clothing fabric parameter calibration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of textile material performance testing, and particularly relates to a method and system for measuring the drape of a textile fabric with different warp and weft directions. BACKGROUND

[0002] The drape of a textile fabric refers to its property of sagging due to gravity, which is a key mechanical property determining the appearance of loose and fit garments, and is an important feature distinguishing textile materials from other flexible materials. The drape of a fabric directly affects the styling effect and fit of a garment, and is an index that needs to be considered in garment design and fabric development.

[0003] In the field of digital garment engineering, a three-dimensional garment CAD (computer-aided design) system can realize virtual try-on and forming prediction by simulating the mechanical behavior of a fabric and the structure of a garment, which can significantly reduce the number of physical sample garments produced and the consumption of materials. The premise of achieving high-precision simulation is to obtain accurate mechanical parameters of the fabric. These parameters are usually obtained by direct measurement using special instruments (such as KES-FB and FAST systems). However, on the one hand, these measurements involve the use of expensive equipment and the consumption of professional technical labor; on the other hand, because of issues such as matching with fabric models, these measured parameters cannot accurately reproduce the true form of the fabric when used in fabric simulation. With the rapid development of computer technology, methods that use simple physical tests combined with simulation results iteration or machine learning model backstepping to obtain virtual mechanical parameters are expected to replace actual measurements and become the core technology of the new generation of intelligent CAD systems. Among them, a simple test method that can effectively reflect the differences in fabric drape is an important foundation for a virtual fabric mechanical parameter generation system.

[0004] In the prior art, there are mainly two methods for evaluating the drape of a fabric.

[0005] One of them is the cantilever beam method (such as the Pierce method), which measures the bending length of a fabric sample to calculate its bending stiffness. Since textile fabrics usually have significant differences in warp and weft directions (i.e., the directions of warp and weft yarns), this method requires separate testing of elongated samples in the warp and weft directions. This not only increases the workload of preparing samples and testing, but also has a large difference between the test state (cantilever beam) and the common drape form of the fabric in a garment, making the representation less direct. In addition, this method involves pushing the sample during measurement, which is difficult to reproduce in a purely computer simulation environment, and therefore is not convenient for direct use in virtual parameter backstepping.

[0006] The second is the circular specimen draping method (such as the Cusick method), which drapes a circular fabric specimen on a small-diameter circular support disc, and analyzes the drape wave number formed after draping, the drape coefficient calculated from the projected area, and the like to characterize the draping performance. Although this method is simple to test and has a shape closer to the actual garment draping, the drape shape formed is the result of the coupling of the warp and weft performance of the fabric, and the obtained drape coefficient, wave number, and the like are difficult to effectively separate and quantitatively reflect the differences in the warp and weft draping performance. However, in garment pattern design, the selection of the warp and weft of the fabric is crucial, and different directions will lead to completely different garment styling effects due to the difference in draping performance. In addition, the test results of the circular draping method are greatly affected by accidental factors, and multiple tests of the same fabric may form different wrinkle distributions, resulting in insufficient stability and repeatability. This shortcoming also limits the accuracy and reliability of the method as a test method in the virtual fabric mechanical parameter generation system in the garment CAD system.

[0007] Therefore, the existing fabric draping performance test method has deficiencies in characterizing the warp and weft anisotropy and the stability of the test results, and it is difficult to fully meet the needs of fine garment design, fabric performance database construction, and high-precision textile and garment digitalization applications. SUMMARY

[0008] Therefore, the technical problem to be solved by the present application is to overcome the problem that the existing textile fabric draping performance test method cannot effectively distinguish and characterize the differences in the warp and weft performance, and the test results of the existing method are greatly affected by accidental factors and have insufficient stability.

[0009] To solve the above technical problems, the present application provides a textile fabric draping performance measurement method that clearly shows the warp and weft anisotropy, comprising the following steps:

[0010] S1: covering a textile fabric specimen on a support platform arranged horizontally, aligning the geometric center of the textile fabric specimen with the geometric center of the support platform, and making the edges of the textile fabric specimen parallel to the corresponding edges of the support platform;

[0011] S2: capturing an overhead image of the stable drape shape formed after the textile fabric specimen is lowered due to its own weight directly above the textile fabric specimen and the support platform;

[0012] S3: processing the overhead image to obtain the contour information of the lowered part of the textile fabric specimen;

[0013] S4: determining a first drape characteristic value along the warp direction of the specimen and a second drape characteristic value along the weft direction of the specimen based on the contour information, respectively;

[0014] S5: independently evaluate the drape performance of the textile sample in the warp direction and the weft direction according to the first drape characteristic value and the second drape characteristic value respectively.

[0015] In an embodiment of the present application, in step S4, the first drape characteristic value is the drape interval L1 along the warp direction of the sample, and the second drape characteristic value is the drape interval L2 along the weft direction of the sample.

[0016] In an embodiment of the present application, the method for determining the first drape characteristic value and the second drape characteristic value is: in the profile information, find out the intersection points of the sample drooping profile line and the bisector in the corresponding direction of the support platform along the warp direction and the weft direction of the sample respectively, and the bisector is a straight line passing through the geometric center of the support platform and parallel to the corresponding edge of the platform; calculate the distance value between the two intersection points in the warp direction as L1, and the distance value between the two intersection points in the weft direction as L2.

[0017] In an embodiment of the present application, in step S5, the method for evaluating the drape performance of the textile sample in the warp direction and the weft direction is: matching the first drape characteristic value and the second drape characteristic value with a plurality of preset numerical intervals respectively, and each numerical interval corresponds to a drape level.

[0018] In an embodiment of the present application, the division method of the plurality of preset numerical intervals is: dividing equally or unequally with the side length of the sample as the upper limit and the side length of the support platform as the lower limit.

[0019] In an embodiment of the present application, in step S3, the method for processing the overhead image to obtain the profile information of the drooping part of the textile sample is: performing binaryzation processing on the overhead image, and extracting the boundary between the sample region and the background region as the profile information.

[0020] In an embodiment of the present application, in step S2, the method for collecting the overhead image of the stable drape shape formed after the textile sample droops due to its own weight is: adjusting the height of the image acquisition device to make the support platform occupy a preset fixed reference area completely in the overhead image.

[0021] In an embodiment of the present application, in step S5, the drape performance is divided into five levels, which are soft, relatively soft, moderate, relatively stiff and stiff respectively.

[0022] The present application also provides a textile fabric drape measurement system for realizing the textile fabric drape measurement method for distinguishing the warp and weft directions, comprising:

[0023] A support platform arranged horizontally and used for carrying the textile fabric sample;

[0024] An image acquisition unit arranged directly above the support platform and used for acquiring an overhead image of a stable drape shape formed by the textile fabric sample after sagging due to gravity;

[0025] A processing unit connected with the image acquisition unit and used for outputting evaluation results of the drape performance of the textile fabric sample in the warp direction and the weft direction independently.

[0026] In an embodiment of the present application, the processing unit performs the following operations: processing the overhead image to obtain contour information of the sagging part of the textile fabric sample;

[0027] Based on the contour information, a first drape characteristic value along the warp direction of the sample and a second drape characteristic value along the weft direction of the sample are determined respectively;

[0028] According to the first drape characteristic value and the second drape characteristic value, the drape performance of the textile fabric sample in the warp direction and the weft direction is evaluated independently respectively.

[0029] The above technical solution of the present application has the following advantages compared with the prior art:

[0030] The drape measurement method of the present application can induce a stable and directionally characteristic drape shape by the centering and parallel placement of the square sample and the square platform, so that the independent drape characteristic values of the fabric in the warp direction and the weft direction can be obtained through a single test, and the warp-weft anisotropy of the fabric is directly and effectively represented. The test result is stable, has good repeatability, is simple to operate, does not require expensive special equipment, and is convenient for practical application and promotion. At the same time, the obtained quantitative indexes of the warp and weft directions are separated, which provides a solid foundation for the accurate description of the mechanical properties of the fabric in the garment CAD system, helps to improve the realism of the three-dimensional garment simulation, and better supports the digital design and development of the textile and garment. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to make the content of the present application more easily understood, the present application will be further described in detail below according to specific embodiments of the present application and in conjunction with the drawings.

[0032] Figure 1 is a flowchart of the drape measurement method of the present application;

[0033] Figure 2 is a schematic diagram of a drape measurement system of the present application;

[0034] Figure 3is a schematic diagram of the warp and weft direction suspension interval in the embodiment of the present application;

[0035] Figure 4 is a five-level suspension grading schematic diagram in the embodiment of the present application;

[0036] Fig. 5(a) is a schematic diagram of a photo taken by a camera in the measurement result in the embodiment of the present application;

[0037] Fig. 5(b) is a schematic diagram of profile extraction according to the photo in the measurement result in the embodiment of the present application;

[0038] Fig. 5(c) is a schematic diagram of suspension level in the measurement result in the embodiment of the present application;

[0039] Figure 6 is a schematic diagram of fifty fabric suspension profile lines in the embodiment of the present application. DETAILED DESCRIPTION

[0040] The present application will be further described below in conjunction with the drawings and specific embodiments, so that those skilled in the art can better understand the present application and implement it, but the embodiments are not limiting to the present application.

[0041] Embodiment one:

[0042] As shown in the drawings, Figure 1 The present application provides a textile fabric drape measurement method that clearly shows warp and weft direction differences, including the following steps:

[0043] S1: Cover the textile fabric sample on the horizontally arranged support platform, align the geometric center of the textile fabric sample with the geometric center of the support platform, and make the edges of the textile fabric sample parallel to the corresponding edges of the support platform;

[0044] S2: Collect an overhead image of the stable drape shape formed after the textile fabric sample is vertically due to its own weight directly above the textile fabric sample and the support platform;

[0045] S3: Process the overhead image to obtain the profile information of the vertically part of the textile fabric sample;

[0046] S4: Based on the profile information, determine the first drape characteristic value along the warp direction of the sample and the second drape characteristic value along the weft direction of the sample, respectively;

[0047] S5: According to the first drape characteristic value and the second drape characteristic value, respectively and independently evaluate the drape performance of the textile fabric sample in the warp direction and the weft direction.

[0048] The application provides an embodiment of a method for measuring the drape of a textile fabric. The method involves placing a textile fabric sample on a horizontal support platform, ensuring that the sample is aligned with the center of the platform and that the edges of the sample are parallel to the edges of the platform. An overhead image of the stable drape shape of the sample is captured. The profile information of the drape area of the sample is extracted from the overhead image. Based on the profile information, two independent drape characteristic values along the warp and weft directions of the fabric can be determined. The drape performance of the sample in the warp and weft directions can be evaluated separately based on the two characteristic values, thereby effectively characterizing the warp and weft anisotropy of the fabric.

[0049] Specifically, as shown in Figure 2 In a preferred embodiment of the application, in step S1, a horizontal rigid support platform is provided (the platform base can be adjusted horizontally by a horizontal adjustment knob), which is preferably a square tray with a side length of 15 cm and a thickness of 0.1-0.3 cm to ensure sufficient flatness and stability and effectively avoid errors caused by platform deformation or shaking during testing.

[0050] A square sample aligned with the warp and weft directions of the textile fabric is selected, and the side length of the sample is preferably 30 cm, i.e., the side length of the sample is greater than the side length of the support platform, ensuring that the edges of the sample have sufficient drape length to form a clear and stable drape wave, establishing a direct geometric reference for subsequent quantification and grading of drape characteristic values.

[0051] When placing, the sample is gently placed on the platform, and the geometric center of the sample is accurately aligned with the geometric center of the platform through visual or auxiliary alignment tools, and the orientation of the sample is adjusted to ensure that the warp and weft directions are parallel to the corresponding edges of the platform.

[0052] This strict centering and parallel placement method first physically constrains and induces the fabric to drape mainly along the two orthogonal directions of warp and weft, thereby forming a stable and directionally characteristic drape shape, effectively avoiding the poor repeatability problem caused by random distribution of wrinkles in the circular drape method. Second, this placement method makes the final drape profile have the highest symmetry and predictability in the warp and weft directions, laying a foundation for accurately extracting profile points along a specific direction in subsequent image processing and improving the reliability and consistency of the measurement results. Finally, this operation is simple and easy to perform without the need for complex fixtures or skilled techniques, which is conducive to rapid application in actual production, quality inspection or design processes.

[0053] The above placement method is not only simple to operate, but also can induce the formation of a hanging wave shape with clear directional characteristics, so that the hanging performance in the warp and weft directions can be independently exhibited and separated measurement, directly and intuitively revealing the warp-weft anisotropy of the fabric, overcoming the inherent defects of the traditional draping coefficient method that the results are comprehensive and cannot be evaluated in different directions.

[0054] Further, in step S2, when collecting the overhead image of the stable draping shape of the textile fabric sample after it is hung due to gravity, a standardized image collection system including an image collection device (such as a digital camera) and an adjustable support (such as a tripod) is preferably used.

[0055] Specifically, the support platform is placed horizontally in a uniform and moderate light environment to avoid shadow interference. The camera is fixed on the tripod and precisely suspended directly above the support platform, ensuring that its optical axis is perpendicular to the platform plane.

[0056] Preferably, the camera shooting mode is adjusted to square format, and the grid auxiliary line function built-in the camera is enabled to divide the viewfinder frame into nine grids. The height of the tripod is finely adjusted so that the outer edge of the lower support platform completely fills the grid area in the center of the viewfinder frame, thereby realizing that the support platform always occupies a preset reference area with fixed size in the overhead image.

[0057] This standardized operation ensures that the images collected in different tests have consistent scales and spatial resolutions, providing a fundamental guarantee for the accuracy of subsequent image processing and the repeatability of measurement results. Before collection, the sample needs to be left for a sufficient time (for example, 30 seconds to 1 minute), and then photographed after the shape formed due to gravity is completely stable and does not shake, so as to obtain an overhead image that can truly and stably reflect the draping characteristics of the fabric. This method effectively eliminates errors introduced by changes in shooting distance and angle through standardization of hardware settings and shooting processes, so that the obtained image can be directly used for subsequent quantitative analysis, significantly improving the reliability and operation convenience of the entire measurement system.

[0058] Further, in step S3, when processing the overhead image to obtain the profile information of the hung part of the textile fabric sample, digital image processing technology is preferably used to realize automatic and high-precision extraction.

[0059] Specifically, the overhead image collected in step S2 is imported into the processing unit for pretreatment to improve the image quality, such as grayscale and contrast equalization, to reduce the influence of uneven lighting.

[0060] The image is binarized, which is a key step for extracting the contour: by setting a suitable gray threshold, the pixels belonging to the sample sagging area (including the area above the support platform and the sagging part) are separated from the background area pixels, and converted into a black and white binary image. After obtaining the binary image, the edge detection algorithm (such as Canny operator) or contour tracking algorithm is used to extract the boundary between the sample area and the background area, which is the outer contour line of the sagging part of the textile sample.

[0061] Preferably, the extracted contour can be smoothed to eliminate small irregular fluctuations caused by image noise or fabric surface texture, so as to obtain smooth and continuous contour information. The core function of this process is to convert the visual image into quantifiable geometric data, providing direct and reliable input for subsequent accurate calculation of warp and weft sagging characteristic values.

[0062] Through the image processing flow, not only the subjective error of manual interpretation is significantly reduced, but also the consistency of contour extraction between different samples and different batches of tests is ensured, thereby fundamentally improving the objectivity, repeatability and efficiency of the entire measurement method. The obtained contour information is represented in the form of coordinate set or closed polygon, which completely records the projection of the sagging shape on the two-dimensional plane, and is the data basis for subsequent independent performance evaluation of warp and weft directions.

[0063] Further, in step S4, based on the contour information of the sagging part of the textile sample obtained in step S3, a first sagging characteristic value along the warp direction of the sample and a second sagging characteristic value along the weft direction of the sample are determined respectively.

[0064] Specifically, as shown in Figure 3 The first sagging characteristic value is preferably defined as the sagging distance L1 along the warp direction of the sample, and the second sagging characteristic value is preferably defined as the sagging distance L2 along the weft direction of the sample. The method for determining the two characteristic values is as follows: in the extracted contour information, find the intersection points of the two contour lines formed by the sagging of the sample warp direction edge on both sides of the corresponding support platform and the bisector of the support platform parallel to the warp direction, and the distance between the two intersection points is the sagging distance L1 along the warp direction; similarly, the distance between the two intersection points of the sagging contour line of the sample weft direction and the bisector of the support platform in the corresponding direction is the sagging distance L2 along the weft direction.

[0065] In this calculation process, the image pixel distance needs to be accurately converted into actual physical distance (unit: centimeters) using the image scale established through standardized shooting in step S2. This scale can be obtained based on the ratio of the known actual size of the support platform (e.g., a side length of 15cm) to the pixel size it occupies in the image. Through the above process, the two physical quantities, drape spacing L1 and L2, are directly and independently extracted. They quantify the extent to which the fabric extends beyond the edge of the support platform due to its own weight in the warp and weft directions, respectively. By utilizing the directional constraint formed by the square sample and the platform, the warp and weft coupled drape shape is successfully decomposed into quantitative indicators in two independent warp and weft directions. This achieves a direct and objective characterization of the warp and weft anisotropy of the fabric, overcoming the fundamental defects of the traditional circular drape method, which results in coupling and inability to be vectorized.

[0066] Furthermore, such as Figure 4 As shown, in step S5, the drape performance of the textile fabric sample in the warp and weft directions is independently evaluated based on the first drape characteristic value (i.e., the drape spacing L1 along the warp) and the second drape characteristic value (i.e., the drape spacing L2 along the weft) determined in step S4. Specifically, the measured L1 and L2 values ​​are matched with multiple preset numerical intervals, each interval corresponding to a specific drape level.

[0067] The preset numerical range is preferably divided based on the theoretical maximum overhang range formed by the difference between the original side length of the sample and the side length of the support platform.

[0068] In this embodiment of the invention, the sample side length is 30cm and the platform side length is 15cm, so the theoretical maximum sag spacing is 30cm. Although the minimum sag spacing may be lower than the platform side length of 15cm, it is set to 15cm because it cannot be measured. With 15cm as the lower limit and 30cm as the upper limit, it is divided into five consecutive numerical intervals, each interval corresponding to a sag level, thereby establishing a five-level evaluation scale from "soft" to "firm".

[0069] The specific classifications are as follows: When the drape spacing value is between 15.00cm and 18.00cm (including cases less than 15cm), the drape level is judged as "soft"; when it is between 18.01cm and 21.00cm, the level is "relatively soft"; when it is between 21.01cm and 24.00cm, the level is "moderate"; when it is between 24.01cm and 27.00cm, the level is "relatively firm"; and when it is between 27.01cm and 30.00cm, the level is "firm".

[0070] When evaluating, the value of L1 is matched with the above interval to obtain the drape level of the warp direction of the sample; meanwhile, the value of L2 is independently matched with the same interval set to obtain the drape level of the weft direction of the sample.

[0071] For example, according to the above content, a photo of a certain fabric is taken, as shown in Fig. 5(a), contour extraction is performed, as shown in Fig. 5(b), and then the drape level is evaluated, as shown in Fig. 5(c).

[0072] The measured L1 of a certain fabric is 22.69 cm, and the warp drape evaluation is "moderate"; the measured L2 is 19.4 cm, and the weft drape evaluation is "relatively soft".

[0073] This grading evaluation method uses clear and objective numerical boundaries to convert continuous drape interval measurement results into intuitive performance levels, greatly facilitating non-textile professionals (such as designers and procurement personnel) to quickly understand and compare the drape characteristics of different fabrics or in warp and weft directions.

[0074] Meanwhile, the grading system is rooted in the geometric relationship between the sample and the platform, has clear physical meaning and good universality, provides a direct and consistent language and basis for building a standardized fabric drape database and generating fabric virtual mechanical parameters in a garment CAD system, and effectively overcomes the shortcomings of traditional methods that the evaluation results are fuzzy and difficult to compare horizontally.

[0075] To further verify the effectiveness and applicability of the method, fifty different textile fabrics in terms of gram weight and organizational structure were tested, as shown in Fig. 4, the drape contour lines of the fifty fabrics showed clear warp and weft anisotropy, most of the warp drape intervals were larger than the weft drape intervals, and the test results are shown in Table 1. Figure 6

[0076] Table 1:

[0077]

[0078] The gram weight, warp drape interval L1, weft drape interval L2 of each sample, and the warp and weft bending lengths measured by the traditional cantilever beam method are listed in Table 1. The test results show that the method can clearly and stably reflect the drape differences of different fabrics in the warp and weft directions, and the L1 and L2 of most samples have obvious differences, which intuitively reflects the warp and weft anisotropy of the fabric.

[0079] ​Further, the Spearman correlation analysis of the drape length and the traditional bending length in Table 1 is carried out, and the results are shown in Table 2, and the results show that the two are significantly correlated at the level of 0.01, and the correlation coefficient is 0.748. It shows that the drape length measured by the method of the application has good consistency with the classical mechanical parameters, and verifies the effectiveness and reliability of the method of the application in characterizing the drape performance of the fabric.

[0080] Table 2:

[0081]

[0082] It can be seen from the above actual test and data analysis that the method described in the application not only has simple operation and good repeatability, but also can accurately and independently characterize the drape characteristics of the fabric in the warp and weft directions, and provides a reliable basis for fabric performance evaluation, database construction and virtual parameter generation in the garment CAD system.

[0083] Example two:

[0084] The application further provides a drape performance measurement system of a textile fabric with obvious warp and weft anisotropy, which is used for realizing the drape performance measurement method of the textile fabric with obvious warp and weft anisotropy in the application, and comprises:

[0085] A horizontally arranged support platform is used for carrying the textile fabric sample;

[0086] An image acquisition unit is arranged directly above the support platform and is used for acquiring an overhead image of a stable drape shape formed after the textile fabric sample is vertically due to the self weight;

[0087] A processing unit is connected with the image acquisition unit and is used for outputting independent drape performance evaluation results of the textile fabric sample in the warp and weft directions.

[0088] The processing unit performs the following operations: processing the overhead image to obtain contour information of the vertically part of the textile fabric sample;

[0089] Based on the contour information, a first drape characteristic value along the warp direction of the sample and a second drape characteristic value along the weft direction of the sample are determined respectively;

[0090] According to the first drape characteristic value and the second drape characteristic value, the drape performance of the textile fabric sample in the warp and weft directions is independently evaluated respectively.

[0091] In the embodiment of the present application, the textile fabric drape measurement system with the warp and weft anisotropy converts the method steps into integrated hardware and software modules, realizes the full-process automation and standardization from sample placement, image acquisition to data processing and result output, not only significantly improves the test efficiency and the consistency of the results, reduces the subjective error of manual operation, but also makes the measurement scheme more easily deployed and applied in actual production, quality inspection and design links, and provides a reliable and convenient tool basis for building a unified textile fabric drape performance database and supporting high-precision garment digital technology.

[0092] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer usable program code.

[0093] The present application is described with reference to flowcharts and / or block diagrams according to the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the flow Figure 1 The function specified in one or more flows and / or blocks. Figure 1 The means for performing the function specified in one or more flows and / or blocks.

[0094] These computer program instructions can also be stored in a computer readable storage medium that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction means, which implements the flow Figure 1 The function specified in one or more flows and / or blocks. Figure 1 The means for performing the function specified in one or more flows and / or blocks.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a device for implementing the flow Figure 1 The function specified in one or more flows and / or blocks. Figure 1steps of the functions specified in the one or more blocks.

[0096] Obviously, the above-mentioned embodiments are only examples for clearly illustrating the present application, and are not intended to limit the present application. Based on the above-mentioned embodiments, other different forms of changes or variations can be made by those skilled in the art. Here, it is not necessary or possible to enumerate all the embodiments. The obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. A method of measuring drape of a textile fabric to show the direction of the warp and weft, characterized in that, The method comprises the following steps: S1: covering a textile fabric sample on a horizontally arranged support platform, aligning the geometric center of the textile fabric sample with the geometric center of the support platform, and making the edges of the textile fabric sample parallel to the corresponding edges of the support platform; S2: capturing an overhead image of the stable drape shape formed after the textile fabric sample is vertically dropped due to its own weight; S3: processing the overhead image to obtain the contour information of the vertically dropped part of the textile fabric sample; S4: determining the first drape interval along the warp direction of the sample and the second drape interval along the weft direction of the sample based on the contour information; the first drape interval is the distance between the two intersection points of the contour line of the sample and the warp midline of the support platform in the warp direction in the contour information, and the warp midline is a straight line passing through the geometric center of the support platform and parallel to the corresponding edge of the platform in the warp direction; the second drape interval is the distance between the two intersection points of the contour line of the sample and the weft midline of the support platform in the weft direction in the contour information, and the weft midline is a straight line passing through the geometric center of the support platform and parallel to the corresponding edge of the platform in the weft direction; S5: evaluating the drape performance of the textile fabric sample in the warp and weft directions according to the first and second drape intervals, respectively.

2. The method of claim 1, wherein the fabric is a woven fabric. In step S5, the method for evaluating the drape performance of the textile fabric sample in the warp and weft directions is: matching the first and second drape intervals with a plurality of preset numerical intervals, respectively, and each numerical interval corresponds to a drape level.

3. The method of claim 2, wherein the fabric is a woven fabric. The division method of the plurality of preset numerical intervals is: dividing equally or unequally with the length of the sample as the upper limit and the length of the support platform as the lower limit.

4. The method of claim 1, wherein the fabric is a woven fabric. In step S3, the method for processing the overhead image to obtain the contour information of the vertically dropped part of the textile fabric sample is: performing binaryzation processing on the overhead image, and extracting the boundary between the sample area and the background area as the contour information.

5. The method of claim 1, wherein the fabric is a woven fabric. In step S2, the method for capturing the overhead image of the stable drape shape formed after the textile fabric sample is vertically dropped due to its own weight is: adjusting the height of the image capturing device to make the support platform occupy the entire preset fixed reference area in the overhead image.

6. The method of claim 1, wherein the fabric is a woven fabric. In step S5, the drape performance is divided into five levels: soft, relatively soft, moderate, relatively stiff, and stiff.

7. A system for measuring the drape of a textile fabric exhibiting warp and weft directionality, for implementing the method for measuring the drape of a textile fabric exhibiting warp and weft directionality according to any one of claims 1 to 6, characterized in that, It comprises: a horizontally arranged support platform for carrying a textile fabric sample; an image capturing unit arranged directly above the support platform for capturing an overhead image of the stable drape shape formed after the textile fabric sample is vertically dropped due to its own weight; a processing unit connected with the image capturing unit for outputting the independent drape performance evaluation results of the textile fabric sample in the warp and weft directions.

8. The system for measuring drape of a textile according to claim 7, wherein: The processing unit performs the following operations: processing the overhead image to obtain the contour information of the vertically dropped part of the textile fabric sample; determining a first drape distance along the warp direction of the sample and a second drape distance along the weft direction of the sample based on the profile information; the first drape distance is the distance between two intersection points of the drape profile line and a warp midline on the profile information along the warp direction, the warp midline is a straight line passing through the geometric center of the support platform and parallel to the corresponding edge of the warp direction of the support platform; the second drape distance is the distance between two intersection points of the drape profile line and a weft midline on the profile information along the weft direction, the weft midline is a straight line passing through the geometric center of the support platform and parallel to the corresponding edge of the weft direction of the support platform; evaluating the drape performance of the textile sample in the warp direction and the weft direction respectively and independently based on the first drape distance and the second drape distance.

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