Method for determining porosity characteristics of fabric through image method

Abstract

The invention relates to a method for determining the porosity characteristics of a fabric through an image method, and in particular relates to a method for determining the porosity characteristics of a latticed sparse fabric through an image method. The method comprises the following steps of converting a gray image into a binary image according to a gray histogram two-peak method threshold of a fabric image, setting the pixel of a yarn region in a binary matrix corresponding to the binary image as 1, respectively projecting the binary matrix in the warp yarn direction and the weft yarn direction, analyzing the central line positions of warp yarns and weft yarns, and cutting off an image region out of the central line positions of side yarns to obtain a new image; identifying the porosity of the fabric in the new binary image, and retaining a true porosity region in the fabric by virtue of pseudo porosity elimination in a main yarn area and an area filtration method; performing statistic analysis on the porosity of the fabric to obtain the characteristics, such as actual porosity, non-uniform porosity and porosity size distribution, of the fabric. By the adoption of the method, a porosity characteristic index can be objectively, accurately and quickly calculated.

Description

technical field [0001] The invention relates to a method for measuring the pore characteristics of a fabric by an image method, in particular to a method for measuring the pore characteristics of a grid-like sparse fabric by an image method. Background technique [0002] The traditional method of fabric theoretical porosity is calculated by measuring the warp and weft density and the diameter of warp and weft yarns. The measurement of warp and weft density usually uses a cloth mirror to manually measure the number of yarns within 10 cm. When counting yarns, if half a yarn The line time is rounded to an integer according to the situation. The measurement of the yarn diameter in the fabric is generally to remove the yarn from the fabric, measure the gram weight per unit length and then convert it into the yarn diameter. Or directly measure the diameter of the yarn in a magnifying instrument, which is troublesome and time-consuming. Therefore, it is necessary to seek reliable...

AI Technical Summary

Problems solved by technology

However, this kind of test mainly relies on manual testing of enlarged and projected fabric images, so the testing process is slow and a large number of tests cannot be carried out

[0006] The document "Quality Inspection of Compact Spinning Mesh Circles Based on Image Processing" uses image processing methods to conduct a preliminary detection of the pores of mesh ring fabrics, obtains the total number of pores and porosity of mesh ring fabrics, and also analyzes the area of ​​single holes. , perimeter, rectangularity and other parameters, but did not identify the pores in the image, resulting in some false pores being misjudged as real pores for statistics

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