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An automatic method for measuring the density of woven fabrics
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A technology for automatic measurement and woven fabrics, applied in image data processing, instruments, calculations, etc., can solve problems such as tedious preprocessing operations, and achieve the effects of simple calculation, high calculation efficiency, and high measurement accuracy.
Inactive Publication Date: 2017-07-18
JIANGNAN UNIV
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Problems solved by technology
The algorithm has high density measurement accuracy for multi-color woven fabrics, but requires cumbersome preprocessing operations
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Embodiment 1
[0059] The embodiment of the present invention adopts a double-system multi-color woven fabric image from a yarn-dyed factory as a test image, its color space format is RGB, and the pixel size is 408 pixels×350 pixels (M=408, N=350), and the actual size It is 0.864cm×0.741cm (H=0.864, W=0.741), the vertical direction is the warp direction, and the horizontal direction is the weft direction, such as figure 1 shown. The specific implementation steps of this embodiment are:
[0060] Rough measurements:
[0061] (1) Convert the original woven fabric image A with a size of M×N (408×350) (pixels) to the HSV color space, and extract the brightness component therein, denoted as V(i,j), where i and j are respectively Take values for the row and column coordinates of V (1≤i≤M, 1≤i≤N);
[0062] (2) Project V(i,j) along the vertical direction to obtain the brightness projection curve, denoted as P(j)
[0063]
[0064] (3) Use LOESS regression to smooth the brightness projection c...
Embodiment 2
[0095] The embodiment of the present invention adopts a single-system multi-color woven fabric image from a yarn-dyed factory as a test image, its color space format is RGB, and the pixel size is 593 pixels×593 pixels (M=593, N=593), and the actual size It is 1.256cm×1.256cm (H=1.256, W=1.256), the vertical direction is the warp direction, and the horizontal direction is the weft direction, such as Image 6 shown. The specific implementation steps of this embodiment are:
[0096] Rough measurements:
[0097] (1) Convert the original woven fabric image A with a size of M×N (593×593) (pixels) to the HSV color space, and extract the brightness component therein, denoted as V(i,j), where i and j are respectively Take values for the row and column coordinates of V (1≤i≤M, 1≤i≤N);
[0098] (2) Project V(i,j) along the vertical direction to obtain the brightness projection curve, denoted as P(j)
[0099]
[0100] (3) Use LOESS regression to smooth the brightness projection c...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Abstract
The invention discloses an automatic measurement method of the woven fabric density. The automatic measurement method comprises a rough measurement step and a precision measurement step, wherein the rough measurement step comprises a main substep of acquiring the quantity of warp and weft yarns through a brightness projection curve; the precision measurement step comprises the substeps of acquiring a brightness projection curve by carrying out independent projection on a subimage in an original woven fabric image on the basis of rough measurement, and then acquiring the accurate quantity of the warp and weft yarns through calculating the accumulative quantity of wave peaks of the curves in the horizontal direction, thus calculating the density of the warp and weft yarns. According to the automatic measurement method disclosed by the invention, not only can automatic measurement of densities of a single-color woven fabric, a multi-system multi-color woven fabric and a double-system multi-color woven fabric be realized, but also the measurement errors are small, and the demands in actual production can be met.
Description
technical field [0001] The invention belongs to the field of image analysis and processing, is applied to the field of automatic analysis and identification of textile weaving parameters, and relates to an automatic measurement method for the density of woven fabrics. Background technique [0002] Woven fabric density includes warp yarn density and weft yarn density, which are the most basic structural parameters of woven fabrics, and refer to the total number of warp and weft yarns within a length of 10 cm. The traditional density measurement of woven fabrics mainly relies on manual work. Using a cloth mirror or a fabric density analysis mirror to count the number of yarns, this method is inefficient and error-prone. With the development of digital image processing and pattern recognition technology, automatic measurement of woven fabric parameters based on image analysis has become possible. At present, the automatic measurement methods for the density of woven fabrics ca...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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