Cloth defect detection method based on image processing

Abstract

The invention discloses a cloth defect detection method based on image processing. The method comprises steps as follows: a self-adaptive denoising algorithm is adopted according to the actual condition on site; (2) a denoised image is subjected to sharpening enhancement processing, so that texture details and edge contours of image defects are enhanced, and extraction of follow-up characteristicvalues is more reliable; (3) the image defects are subjected to segmentation, smoothing and circulation enhancement processing with a morphological algorithm and a circulation area marking method; (4)characteristic values of the cloth are extracted and normalized; (5) the cloth defects are recognized and classified. According to the cloth defect detection method based on image processing, an automatic cloth checking system based on image processing and information integration is researched and developed, and functions including automatic detection, finished product grading, quality statisticanalysis, information sharing, concentrated monitoring and management and the like of the cloth defects are completed, so that the common technical problems that the labor intensity is high, the production efficiency is low and the like when conventional manual cloth checking and manual counting are adopted in the textile dyeing and finishing industry are solved.

Description

technical field [0001] The invention relates to the technical field of cloth defect detection method based on image processing, in particular to a cloth defect detection method based on image processing. Background technique [0002] At present, the traditional fabric inspection method in the textile dyeing and finishing industry is to use a manual cloth inspection method in which one person is in charge of a cloth inspection machine, so it is suitable for various fabrics. Workers need to complete two tasks during operation: on the one hand, identify various fabric defects through manual visual inspection, and classify the defects; Hand it over to the administrator for manual statistical entry and computer archiving. [0003] The working process of manual cloth inspection is: the fabric is driven by the cloth guide roller, passes through the cloth inspection table, and the workers use their eyes to inspect the fabric slowly advancing on the cloth inspection table, and inspe...

AI Technical Summary

Problems solved by technology

Due to the high price, high maintenance cost and untimely after-sales service of the above systems, it is difficult for domestic enterprises to accept

At the same time, foreign fabric defect detection systems have limited adaptability to fabric varieties and the ability to distinguish defect categories

These systems are basically suitable for single-color, simple-weave fabrics, and there are fewer types of defects detected, and some systems require that the edges of the defects in the image are very obvious, resulting in relatively large limitations in practical applications, so there is no market in China.

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