A machine vision-based cloth inspection device and method

Abstract

The invention discloses a cloth inspection method based on machine vision. An industrial camera is used to shoot the heat-set finished fabric to be inspected at a fixed focus to obtain a real-time image; ; Calculate the actual density of the fabric from the horizontal and vertical densities obtained in methods 1 and 2. The invention also discloses a cloth inspection device based on machine vision. The output end of the image acquisition unit is connected to the input end of the image processing unit, and the output end of the image processing unit is connected to the input end of the density detection unit; the image acquisition unit collects fabric The reflection image of the surface; the image processing unit is used to perform image Fourier transform, grayscale transformation, histogram equalization and image binarization processing; the density detection unit uses edge detection algorithm, Hough transform, kernel density estimation algorithm to The processed image is analyzed for the inclination of the fabric, the number of ridge lines and the number of coils, and the density of the fabric is calculated.

Description

technical field [0001] The invention relates to the field of cloth inspection, in particular to a machine vision-based cloth inspection device and method. Background technique [0002] The textile dyeing and finishing industry is a traditional advantageous industry in my country, occupies an important position in the development of the national economy, and is a pillar industry for my country's economic development [1] . First of all, in export trade, it is the primary industry for earning foreign exchange through export, which has an important impact on ensuring China's foreign exchange reserves and the balance of international payments; secondly, it has an immeasurable role in driving domestic employment and affecting people's clothing. [0003] At present, there have been many researches on heat setting technology at home and abroad, but there are few perfect and mature products in practical application, and most of them are European countries with relatively developed t...

AI Technical Summary

Problems solved by technology

This adjustment process not only has a large lag, but also seldom performs index detection and parameter adjustment in the production process, which causes the quality index of the same batch of finished fabrics to fluctuate greatly or even fail to meet the standard, which greatly reduces the first-time pass rate of the product.

In the actual production, the one-time qualified rate of heat setting of elastic knitted fabrics in dyeing and finishing enterprises in our province is generally less than 70%.

For the detection of knitted fabric density, because the detection process is relatively complicated, it is not suitable for manual on-site detection. Generally, samples are taken from the finished fabric for manual measurement, thus losing the real-time performance of production guidance and becoming an important issue that is not valued by enterprises. The improvement of technical indicators and product quality is also restricted accordingly

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