Fig 4 - uploaded by Sarun Sumriddetchkajorn
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Controlling software embedded in our "Silk Check" system: (a) initialization panel, (b) diameter measurement, (c) initialization of color measurement panel, (d) color measurement on different region, and (e) summary result.
Source publication
Hand reeled Thai silk yarns can be classified based on its physical quality such as diameter, color and weight. In general, certified inspectors are randomly select parts of the silk yarn and evaluate the uniformity of diameter and color by their naked eyes. This process is laborious, and sometimes gives uncertain results due to the experience of i...
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... develop our small 133-MB "Silk Check" software as shown in Fig. 4 under a widely used LabVIEW2010 programming platform. It contains four main operating parts: initialization, measurement, colorimeter, and summary. The initialization in Fig. 4(a) is the first step to ensure that our system can be functioned as designed. It checks all signal interfacing channels and sets up all necessary conditions for ...
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... develop our small 133-MB "Silk Check" software as shown in Fig. 4 under a widely used LabVIEW2010 programming platform. It contains four main operating parts: initialization, measurement, colorimeter, and summary. The initialization in Fig. 4(a) is the first step to ensure that our system can be functioned as designed. It checks all signal interfacing channels and sets up all necessary conditions for the stepping motor, optical sensors, and the color digital camera. Once all necessary conditions are in the right stage, all green LED on the display are set to ON. The system ...
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... finishing the initialization, our system is ready to start collecting the measurement data at the desired speed and sampling interval. As shown in Fig. 4(b), our system provides three speed options, 15 cm/s, 30 cm/s, and 60 cm/s, each with three sampling intervals of 1 cm, 5 cm, and 10 cm. When the "Start" button is activated, its function is changed to "Resume" and our system now moves the silk thread at a selected speed and simultaneously measures the diameter of the silk thread along ...
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... color of the silk yarn, the plane of the silk yarn is aligned along the x-z plane by pressing "Calibration" button. Then, a standard X-Rite ColorChecker is placed at the plane of the silk yarn and it is specifically aligned such that its red, green, and blue standard colors are in their corresponding rectangular boxes on the display as shown in Fig. 4(c). From each of these three standard colors, R si , G si , and B si (i = 1, 2, and 3) are known. Its image captured by the 2-D digital camera through "Colors" button provides R ci , G ci , and B ci . By using Eqs. (7a)-(7c), nine elements of the matrix in Eq. (6) can be ...
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... of "Capture" button. As the image of the silk yarn has black background, the region of the image associated with only the silk yarn can be easily extracted. In this case, each image provides its average R', G', and B' in Eq. (8). Once the "Analysis" button is pressed, R, G, and B values of the silk yarn in that region are displayed as shown in Fig. 4(d). The average color of the silk yarn from these six regions is also calculated in both RGB and HSL units. Fig. 4(e) shows the summary of the silk yarn analysis under our "Silk Check" system. The average diameters and their standard deviation values along the x and y axes are summarized on the top left corner of the display. The average ...
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... only the silk yarn can be easily extracted. In this case, each image provides its average R', G', and B' in Eq. (8). Once the "Analysis" button is pressed, R, G, and B values of the silk yarn in that region are displayed as shown in Fig. 4(d). The average color of the silk yarn from these six regions is also calculated in both RGB and HSL units. Fig. 4(e) shows the summary of the silk yarn analysis under our "Silk Check" system. The average diameters and their standard deviation values along the x and y axes are summarized on the top left corner of the display. The average Ratio xy from Eq (4) is also shown with its drawing profile on the top right corner of the display. For the ...
Citations
The quality of the yarn directly determines the performance of the fabric. Existing methods lack three-dimensional rapid evaluation of yarn quality. To overcome the above problem, this paper designs a low-cost multi-camera collaborative system to simultaneously and accurately capture the same segment of yarn image from different perspectives. Specifically, this study introduces a novel yarn image segmentation method, including Local vertical interruption, Horizontal clearing algorithm, and Morphological operation, to accurately obtain the appearance diameter value of the same yarn segment from four views. Subsequently, a 3D model of yarn core for solving elliptical parameters based on multiple camera positions is established and validated. Then, the elliptical cross-sectional area of the yarn and its equivalent circular diameter are obtained. Four types with the same kind of yarns are tested using the proposed method and Uster Evenness Tester 5. By comparing the short-term, periodic, and long-term variation of yarn core, including the diameter value, three-dimensional unevenness coefficient, spectrogram, and variation length curve under different cutting lengths, it is demonstrated that the proposed method is consistent with the Uster measurement results. The experimental results highlight that the proposed method can accurately and effectively evaluate the yarn unevenness.
