A yarn appearance three-dimensional detection device and detection method

Abstract

The present application relates to the field of yarn performance detection, and particularly relates to a yarn appearance three-dimensional detection device and a detection method.The device main box of the present application is provided with a camera, which is opposite to a video image acquisition window, the position and parameters of the camera are adjusted, and five view images with the same clarity are obtained.In the same acquisition environment, a calibration object is used to calibrate the proportion and position relationship between images.According to the calibration result, the four virtual images are enlarged to the same size as the real image, and digital image processing is performed on each sub-image to reconstruct a yarn three-dimensional model.The device components of the present application have strong adjustability, wide applicability and simple operation, and can directly realize clear and continuous acquisition of multi-view images of yarn or similar yarn size objects, improve the repeatability and accuracy of traditional detection methods and photoelectric instrument measurement, and provide an effective device basis for accurate and complete detection of yarn or similar yarn size object appearance.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of yarn performance detection, in particular to a yarn appearance three-dimensional detection device and method. BACKGROUND

[0002] Yarn appearance detection system usually contains the detection of yarn evenness and yarn hairiness related parameters. The detection methods of yarn evenness mainly include blackboard evenness method, length weighing method, capacitive evenness method and photoelectric evenness method, and the detection methods of yarn hairiness mainly include photoelectric measurement method, burning hair weighing method, projection counting method and electrostatic method. Since the traditional manual detection method has large measurement error, photoelectric method instrument measurement is generally used at present, but it has high dependence on environment and non-uniform test index, and cannot accurately and completely reflect the appearance quality of yarn. In recent years, some scholars use digital image processing technology to detect yarn appearance, but the existing two-dimensional image cannot describe the spatial form of yarn, and the measurement result has certain difference with the actual situation. SUMMARY

[0003] Therefore, the purpose of the present application is to provide a yarn appearance three-dimensional detection device and method. The device has strong adjustability, wide applicability and simple operation, can directly realize clear and continuous collection of yarn multi-view images, improves the repeatability and accuracy of traditional detection method and photoelectric method instrument measurement, and provides an effective device basis for accurate and complete detection of yarn appearance.

[0004] The technical scheme of the present application is as follows:

[0005] A yarn appearance three-dimensional detection device comprises a yarn guide roller, a dark box, a sliding table, a sliding rail, a roller, a video image acquisition window, a power switch, a control panel, a camera, a light source, a camera support, a roller control motor, a mirror support and a plane mirror.

[0006] Seven yarn guide rollers with grooves are arranged on the left side of the yarn appearance three-dimensional detection device, yarns pass through the yarn guide rollers in sequence and are finally clamped by two rollers. The yarn guide rollers can make the yarns stably and uniformly unwind from the yarn cans and have certain tension, which is beneficial to subsequent detection. The rollers are controlled by the roller control motor and are started through the power switch. The two rollers are placed in parallel and rotate towards each other to complete the unwinding and detection of the yarns. The yarn detection speed can be directly adjusted through the control panel, and the pause and start buttons are provided, which are more beneficial to operation.

[0007] The dark box is located on the left side of the device and slides through the sliding rail. The mirror support is located at the middle position of the inner side of the dark box and is used to fix the two plane mirrors so that the upright mirror surfaces form an angle of 72 degrees between each other. The bottom of the mirror support is provided with a sliding table and extends out of the inner side of the dark box to adjust the distance between the intersection line of the two plane mirrors and the yarn. The video image acquisition window is located on the left side of the main body of the device and is opposite to the position of the two plane mirrors to shoot the yarn.

[0008] Two light sources are arranged inside the device main box corresponding to the video image acquisition window, and the light is adjusted to be uniform by adjusting the angle of the light sources, so that the final shooting picture is uniformly illuminated.

[0009] A detection method of a yarn appearance three-dimensional detection device, comprising the following steps:

[0010] Step 1: The yarn passes through the guide roller in sequence and is finally clamped by two rollers, so that the yarn at the video image acquisition window is in a vertical state;

[0011] Step 2: Slide the dark box to the top end along the slide rail, and rotate the slide table on the dark box to make the intersection line of the two plane mirrors suitable distance from the yarn, so that the five views are uniformly arranged at a certain distance on the same image;

[0012] Step 3: Move the camera left and right along the camera support, so that the camera is located on the central axis of the intersection line of the two plane mirrors;

[0013] Step 4: Rotate the two light sources to the appropriate position and fix them, so that the light is uniformly illuminated at the video image acquisition window;

[0014] Step 5: Move the camera support forward and backward, and adjust the camera aperture and magnification to obtain five views with clear images;

[0015] Step 6: Press the power switch, and adjust the yarn movement speed on the control panel touch, the yarn movement speed adjustment range is 0-50cm / min, to obtain continuous yarn image;

[0016] Step 7: In the same collection environment, use the calibration object (a chain formed by regular spherical objects with uniform size and color) to place the yarn, and calibrate the proportion and position relationship between the real image and the virtual image of the collected image;

[0017] Step 8: According to the calibration result, the four virtual images are enlarged to the same size as the real image, and each sub-image is digitally processed to reconstruct the yarn three-dimensional model;

[0018] Step 9: Use three-dimensional data to complete the detection of yarn appearance, i.e. yarn evenness and yarn hairiness.

[0019] The beneficial effects of the present application are as follows:

[0020] The device component has strong adjustability, wide applicability and simple operation, and can directly realize clear and continuous collection of multi-view images of yarn or similar yarn size objects, improve the repeatability and accuracy of traditional detection methods and photoelectric instrument measurement, and provide an effective device basis for accurate and complete detection of the appearance of yarn or similar yarn size objects. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 It is an external schematic diagram of the yarn appearance three-dimensional detection device.

[0022] Figure 2 It is an internal schematic diagram of the yarn appearance three-dimensional detection device.

[0023] Figure 3 It is an internal schematic diagram of the dark box.

[0024] 1, yarn guide roller, 2, dark box, 3, sliding table, 4, sliding rail, 5, roller, 6, video image collection window, 7, power switch, 8, control panel, 9, camera, 10, light source, 11, camera support, 12, roller control motor, 13, mirror support, 14, plane mirror. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with specific examples and with reference to the drawings.

[0026] Example 1:

[0027] A yarn appearance three-dimensional detection device comprises the following structures:

[0028] The yarn appearance three-dimensional detection device is provided with seven yarn guide rollers 1 with grooves on the left side, which can make the yarn uniformly and stably unwind from the yarn tube and have a certain tension, which is beneficial to subsequent detection. The roller 5 is controlled by the roller control motor 12 and started through the power switch 7 to complete the unwinding and detection of the yarn. The control panel 8 can adjust the yarn detection speed, and is provided with pause and start buttons, which is more beneficial to operation. The dark box 2 is located on the left side of the device and slides through the sliding rail 4. The mirror support 13 is arranged at the middle position of the inner side of the dark box 2, which is used to fix the two plane mirrors 14 to make them stand upright and form a 72-degree angle. The sliding table 3 is arranged at the bottom of the mirror support 13 and extends outside the dark box, so as to adjust the distance between the intersection line of the two plane mirrors 14 and the yarn. The video image collection window 6 is arranged on the left side of the main body of the device opposite to the position of the two plane mirrors, so as to shoot the yarn.

[0029] Inside the main housing of the device, two light sources 10 are installed above and below the video image acquisition window 6. Their angles can be adjusted to ensure uniform lighting at the video image acquisition window 6, thus ensuring uniform lighting in the final captured image. The camera 9 is placed on the camera bracket 11. The left and right positions of the camera are adjusted so that it is located on the central axis of the intersection line of the two plane mirrors 14. The camera bracket 11 is adjusted forward and backward, and the camera parameters are adjusted to obtain images with equal clarity in all five views.

[0030] In the same acquisition environment, a calibration object (a chain of regularly spaced, uniformly sized and colored spheres) is placed at the yarn location to calibrate the ratio and positional relationship between the real and virtual images of the yarn in the acquired images. Based on the calibration results, the four virtual images are enlarged proportionally to the same size as the real images, and digital image processing is performed on each sub-image to reconstruct a three-dimensional model of the yarn. Using the three-dimensional data, the yarn appearance, namely yarn evenness and yarn hairiness, is detected. This invention can realize multi-view image acquisition of yarn and three-dimensional synthesis and detection of yarn appearance, improving the errors caused by the spatial morphology of the yarn in traditional detection methods.

[0031] Example 2:

[0032] A detection method for a three-dimensional yarn appearance inspection device includes the following steps:

[0033] Step 1: The yarn passes through the guide roller 1 in sequence and is finally held by the two rollers 5, so that the yarn at the video image acquisition window 6 is in a vertical state;

[0034] Step 2: Slide the camera obscura 2 along the slide rail 4 to the top, and rotate the slide table 3 on the camera obscura 2 so that the intersection line of the two plane mirrors 14 is at a suitable distance from the yarn, so that the five views are evenly arranged on the same image at a certain distance.

[0035] Step 3: Move the camera 9 left and right along the camera bracket 11 so that the camera 9 is located on the central axis of the intersection line of the two plane mirrors 14;

[0036] Step 4: Rotate the two light sources 10 so that the light shines evenly on the video image acquisition window 6;

[0037] Step 5: Move the camera support 11 back and forth, and adjust the aperture and magnification of the camera 9 to obtain images with equal clarity in all five views;

[0038] Step 6: Press the power switch 7 and adjust the yarn movement speed on the control panel 8. The yarn movement speed adjustment range is 0-50cm / min to obtain a continuous yarn image.

[0039] Step 7: In the same acquisition environment, use a calibration object (a chain of regular spheres of uniform size and color at equal intervals) to place at the yarn location and calibrate the ratio and positional relationship between the real and virtual images of the yarn in the acquired image.

[0040] Step 8: Based on the calibration results, enlarge the four virtual images to the same size as the real images and perform digital image processing on each sub-image to reconstruct the three-dimensional model of the yarn;

[0041] Step 9: Use 3D data to complete the detection of yarn appearance, namely yarn evenness and yarn hairiness.

[0042] Following the above procedures, tests were conducted on 18.2 tex pure cotton compact spun and pure cotton air-jet spun yarns. The total length of each yarn used in the present invention test was 1 m, and the total length of each yarn used in the Uster test was 100 m. The test results are compared with those of the Uster method in the following table. Using the two-dimensional diameter CV value of the yarn evenness measured by the Uster TESTER 5 with a yarn evenness cutting length of 0.3 mm as a reference, the range is used to characterize the difference between the yarn evenness CV values ​​measured by the present invention and the Uster method, as shown in Table 1. The hairiness value H calculated by the present invention and the measurement results of the Uster TESTER 5 evenness tester are shown in Table 2. The measurement results of the present invention method and the Zweigle HL400 hairiness tester are shown in Table 3. The measurement results of the two methods show that the results of the present invention and the measurement results of the Uster method have a certain correlation. For yarns of the same raw material and yarn count, compact spun yarn has better evenness, more hairiness, and fewer short fibers. Furthermore, the method of the present invention can more accurately obtain the actual length of hairiness. The three-dimensional yarn appearance detection device and detection method of this invention have certain feasibility.

[0043] Table 1. Measurement results of the method of the present invention and the Uster yarn dryness tester.

[0044]

[0045] Table 2. Measurement results of the method of the present invention and the Uster yarn dryness tester.

[0046]

[0047] Table 3. Measurement results of the method of the present invention and the Zweigle HL400 feather tester.

[0048]

Claims

1. A three-dimensional inspection device for yarn appearance, characterized in that, It includes a yarn guide roller (1), a dark box (2), a slide table (3), a slide rail (4), a roller (5), a video image acquisition window (6), a power switch (7), a control panel (8), a camera (9), a light source (10), a camera bracket (11), a roller control motor (12), a mirror bracket (13), and a plane mirror (14); The three-dimensional yarn appearance detection device is equipped with seven grooved yarn guide rollers (1) on the left side. The yarn passes through the yarn guide rollers (1) in sequence and is finally held by two rollers (5). The yarn guide rollers (1) can make the yarn unwind from the yarn bobbin stably and evenly and give the yarn a certain tension. The rollers (5) are controlled by the roller control motor (12) and started by the power switch (7). The two rollers (5) are placed side by side and rotate in opposite directions to complete the unwinding and detection of the yarn. The yarn detection speed can be adjusted directly through the control panel (8), and there are pause and start buttons. The dark box (2) is located on the left side of the device and slides along the slide rail (4). The mirror bracket (13) is located in the middle of the inner side of the dark box (2) to fix the two plane mirrors (14) so ​​that the upright mirror surfaces form a 72-degree angle between each other. The video image acquisition window (6) is located on the left side of the main body of the device and faces the two plane mirrors (14) to capture the yarn. Inside the main housing of the device, two light sources (10) are installed above and below the video image acquisition window (6). By adjusting their angles, the lighting in the dark box (2) is made uniform, so that the final captured image is evenly illuminated. The camera (9) is placed on the camera bracket (11). The left and right positions of the camera (9) are adjusted so that it is located on the central axis of the intersection line of the two plane mirrors (14). The camera bracket (11) is adjusted back and forth, and the parameters of the camera (9) are adjusted to obtain images with the same clarity in all five views. The mirror bracket (13) is equipped with a slide (3) at the bottom and extends out of the dark box (2) to adjust the distance between the intersection line of the two plane mirrors (14) and the yarn.

2. The detection method of the three-dimensional yarn appearance detection device according to claim 1, characterized in that, Includes the following steps: Step 1: The yarn passes through the guide roller (1) in sequence and is finally held by the two rollers (5) so that the yarn is in a vertical state at the video image acquisition window (6); Step 2: Slide the dark box (2) along the slide rail (4) to the top, and rotate the slide table (3) on the dark box (2) so that the intersection line of the two plane mirrors (14) is at a suitable distance from the yarn, so that the five views are evenly arranged on the same image at a certain distance. Step 3: Move the camera (9) left and right along the camera bracket (11) so that the camera (9) is located on the central axis of the intersection line of the two plane mirrors (14); Step 4: Rotate the two light sources (10) to adjust them to the appropriate position and fix them so that the light shines evenly on the video image acquisition window (6); Step 5: Move the camera support (11) back and forth and adjust the aperture and magnification of the camera (9) to obtain images with equal clarity in all five views; Step 6: Press the power switch (7) and adjust the yarn movement speed on the control panel (8). The yarn movement speed adjustment range is 0-50cm / min to obtain a continuous yarn image. Step 7: In the same acquisition environment, place a calibration object at the yarn location to calibrate the ratio and positional relationship between the real and virtual images of the yarn in the acquired image; Step 8: Based on the calibration results, enlarge the four virtual images to the same size as the real images and perform digital image processing on each sub-image to reconstruct the three-dimensional model of the yarn; Step 9: Use 3D data to complete the detection of yarn appearance, namely yarn evenness and yarn hairiness.

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