Image Processing Technology Makes Textile And Garment Data More Authentic.

< p > with the continuous reduction of computer costs and the gradual improvement of performance, the advantages of computer image processing technology such as rapid, accurate, high reliability and stability become more and more obvious. Its application in < a target= "_blank" href= "http://www.91se91.com/" > textile < /a > is also increasing.

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< p > < strong > image processing reduces subjective effect < /strong > /p >

< p > since the late 1980s, the computer has begun to enter the field of textile testing, such as a href= "http://www.91se91.com/news/index_c.asp" > image processing technology < /a >.

From raw materials, semi-finished products to finished products inspection, inspection of woven fabrics, knitted fabrics to nonwoven fabrics and quality control of analog control products can be accomplished by image processing technology.

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< p > traditional a href= "http://www.91se91.com/news/" > textile test > /a > methods mostly use hand feeling and visual inspection method. These test methods are often influenced by human factors, and the test interference is large and the accuracy rate is not high.

The use of image processing technology can reduce the impact of this factor, not only to achieve an objective assessment of the appearance and internal quality of textiles, but also to improve labor productivity and improve product quality.

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The conventional measurement results of < p > fineness are determined by measuring the length and weight of yarn in the regain.

With the rapid development of digital image processing technology in the field of textile, many textile testing instrument companies at home and abroad have developed CU series fiber fineness analyzer developed by image information processing technology and computer software technology.

It can quickly and accurately measure the diameter of the fiber by means of the computer and simplify the experimental operation.

The basic principle is that the image acquisition card converts the image information into digital signals, and pfers them to the computer for digital image processing, measuring the diameter of each fiber and calculating the average diameter and diameter distribution of the fibers.

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< p > image processing technology is used to measure yarn diameter. First, fabric slicing is made.

Fabric slicing is generally divided into two types: meridional section and zonal slicing.

In order to test the results closer to reality, we must take the different positions of the fabric to make the warp and weft slices, and take the photos under the video microscope to get the best slicing map.

Image processing is actually converting an image into another modified or improved image, so it is a process from image to image.

In order to get a clearer boundary line in the fabric and measure diameter, we must use the functions in the ATLAB2009 image processing toolbox to grayscale pform, remove noise, delete small diagrams and two values.

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< p > > a href= "http://www.91se91.com" > fiber fineness tester < /a > is a set of software package for microscopic image analysis, which is used to precisely measure the fineness of all kinds of fibers and yarns, and automatically statistics. After processing, the diameter of yarn can be further measured through the slicing map.

The instrument measures the diameter of the yarn directly on the picture through the graphic measuring tools provided by the system, and then plates into metric count (Nm), special number (Tex) or denier Neal number (DEN).

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< p > < strong > image technology test yarn diameter < /strong > /p >

When measuring P, we must first calibrate the system scale.

The standard rulers (standard length, l mm) will be divided into l0 large lattices, and each grid is divided into 10 small lattices, that is, the actual length of each lattice is 10 microns. Then a clear scale image is obtained under 4 times objective lens, and then calibrated.

The actual length of the calibration line is set to 1000; the nominal magnification of the system is set to "1"; the scale unit selects "microns", and finally the ruler file is saved.

After completing this step, open a slice of processed slices, select the set of ruler files, and pfer the special data file of "diameter to branch count special Neal", and measure it with the "straight line" tool in the right toolbar of the system.

When measuring, the cursor points to the side edge of the yarn, holding the left mouse button to pull the cursor onto the edge of the other side of the yarn, and there will be an auxiliary line perpendicular to the straight line at the two ends of the drawing line. As long as these two auxiliary lines are jammed on both sides of the yarn, it indicates that the target has been targeted, and the left mouse button is loosened. At this time, the window will be asked whether to output the data.

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< p > our test sample < a href= "http://www.91se91.com" > fabric < /a > is plain cotton plain fabric, warp yarn 16tex, weft yarn 17tex, yarn density 0.78 g / cubic centimeter, so choose the smallest cotton yarn density in the system is 0.8 grams / cubic centimeter.

The test results show that the yarn removal in fabric is directly measured by video microscope, and the diameter measured by computer image processing is close to the nominal yarn number of yarn. The error is smaller, and the measurement of diameter by computer image processing technology is closer to the true value.

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