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Cloth defect detection device and method

A detection method and detection device technology, which are applied in image data processing, instrumentation, calculation, etc., can solve problems such as difficulties, and achieve the effects of improving detection rate, reducing production cost, and improving acquisition quality.

Pending Publication Date: 2019-08-30
FUJIAN FYNEX TEXTILE SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, due to the softness and deformation of the detection objects of fabric defects and the diversity of product types, it is extremely difficult to develop a general detection system that can detect all types of fabric defects

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 defect detection device and method
  • Cloth defect detection device and method
  • Cloth defect detection device and method

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Embodiment Construction

[0036] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0037] Such as figure 1 As shown, the Hough transform is used to detect straight lines and curves, and the degree of overlap of defects can be found to determine the degree of collinearity of the straight lines in the image; by selecting the modulus image, the cloth image with defects can be obtained through Gabort transform. By performing histogram equalization processing on the image, the dynamic range of the image pixels is increased to reduce the influence of light, and then the image is Gaussian filtered to obtain a smooth image. The image with defects after Gabor filtering is segmented by maximum entropy to obtain a binary image, and the segmented images along the direction of the cloth image texture are fused by XOR operation to obta...

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 a cloth defect detection method. The cloth defect detection method comprises the following steps: step 1, obtaining a cloth defect image; step 2, carrying out Hough transform on the cloth defect image to obtain a texture direction of the cloth; step three, Gabor filtering is carried out on the cloth defect image to obtain a defect-containing cloth image; 4, segmenting the cloth image containing the defects in the texture direction of the cloth by adopting the maximum entropy to obtain a plurality of binary images; 5, performing XOR operation on the binary images to obtain a fused image; and 6, performing corrosion and expansion processing on the fused image to obtain a defect segmentation map. According to the invention, the defect detection efficiency and the textile production quality can be improved, and the production cost is reduced.

Description

technical field [0001] The invention relates to the textile field, in particular to a cloth defect detection device and a detection method. Background technique [0002] Traditional textile defect detection mainly relies on a large number of inspection workers to complete by eye observation. Although manual inspection can easily classify and score the detected defects according to national standards, there are great limitations. Due to the limitation of human vision accuracy, small-sized defects cannot be detected, and defect detection is a simple, boring and mechanically repetitive work. Long-term work is prone to fatigue, and the detection efficiency and accuracy will be seriously affected. [0003] The application of machine vision and image processing technology in the industrial inspection process to replace the naked eye inspection of workers can automatically detect and identify various defects, greatly improving the detection accuracy and efficiency, and improving pr...

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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IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T5/00
CPCG06T7/0008G06T7/12G06T7/13G06T2207/20221G06T2207/30124G06T5/90
Inventor 赖金土樊蓉张鑫汤仪平蔡晓秋王金伟
Owner FUJIAN FYNEX TEXTILE SCI & TECH
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