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Cloth Hairiness Analysis and Statistical Method Based on Image Acquisition

A technology of image acquisition and statistical methods, applied in the directions of image analysis, analysis materials, image data processing, etc., can solve the problems of unverified practicability of image analysis, insufficient comprehensiveness and specificity of image analysis, large data analysis errors, etc., to solve the test results The error and hairiness statistics are comprehensive and the effect of reducing the amount of calculation

Active Publication Date: 2019-05-03
HEBEI HUIJIN ELECTROMECHANICAL +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the textile industry has proposed the use of image processing technology to evaluate the hairiness characteristics of the fabric surface, but there are many defects, such as image processing is very cumbersome, resulting in large data analysis errors; image analysis is not comprehensive and specific
The usefulness of these image analyzes has yet to be verified

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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  • Cloth Hairiness Analysis and Statistical Method Based on Image Acquisition
  • Cloth Hairiness Analysis and Statistical Method Based on Image Acquisition
  • Cloth Hairiness Analysis and Statistical Method Based on Image Acquisition

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Experimental program
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Embodiment Construction

[0034] The specific analysis method is as follows:

[0035] A. Fabric hairiness display: Fold the fabric in half with the help of the fabric top mechanism 12 with a linear top, and position and tension the two ends of the fabric with the help of the cloth pressing mechanism 11 with a degree of freedom of lifting, and form a hairiness display at the top of the top fabric mechanism 12 Structure; in this step, the cloth ejecting mechanism 12 is positioned on the operating table, and its linear top is horizontal.

[0036] see figure 1 , is a schematic structural diagram of the layout of the fabric hairiness tester of the present invention, which includes a fabric hairiness display mechanism 1, a hairiness image acquisition mechanism and a supporting host computer 3. The upper computer 3 communicates with the single-chip microcomputer that controls the mechanical movement of the fabric hairiness display mechanism and the area array black and white camera 22 in the hairiness image ...

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 analysis and statistical method for naps on cloth surface on the basis of image collection. The method includes the steps of presenting the naps on the surface of a fabric, collecting images, and analyzing the images. Two edges of the fabric are positioned by means of a cloth pressing mechanism at two sides of a cloth pushing mechanism. A lifting mechanism is used for tensioning the fabric, so that the portion, on a knife-blade-shaped tip of the cloth pushing mechanism, of the fabric has an approximately linear shape, and the appearance of the naps on the cloth are clearly presented. By means of parallel light source irradiation and planar array black-white camera imaging, the collected image shows the situation of the naps blocking light beam, which is independent of the light and shade of external environment and the color of the naps, thereby avoiding conversion from RGB to gray level of the image and correction of the gray level. The gray level of each pixel in the image is 0-255. Through a threshold value segmentation method, the image is converted into a two-value (0, 1) image, so that a nap zone in the image is separated from the background. In the method, only is the segmented nap zone is analyzed and researched, thereby increasing the speed of nap detection.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, is applied in the field of fabric hairiness detection, and in particular relates to a cloth hairiness analysis and statistical method based on image collection. Background technique [0002] Excessive hairiness on the surface of the fabric will not only deteriorate the smoothness of the fabric and make it easy to be contaminated with dust, but also bring a series of problems to the subsequent dyeing and finishing process. The mercerizing effect and the quality of lye recovery; falling into the printing paste will cause dragging, dragging, and unclear pattern outlines; more fabric hairiness will also make mercerizing and calendering gloss poor; for chemical fiber pure spinning, For blended fabrics, the hairiness on the surface of the fabric will cause the fabric to fluff and pill, which will affect the appearance quality. Of course, not all fabrics have as few hai...

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G06T7/00G06T7/136
CPCG01N21/84G01N2021/8444
Inventor 魏赛男孙景涛欧智华魏学锋姚继明
Owner HEBEI HUIJIN ELECTROMECHANICAL
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