Cloth defect detection method based on image processing

A technology of image processing and detection method, which is applied in the direction of image data processing, image analysis, and measuring devices, etc., and can solve problems such as obvious defect edges, limited ability to distinguish different types of fabric adaptability, and high maintenance costs

Inactive Publication Date: 2018-04-03
LIMING VOCATIONAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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
Thes

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 method based on image processing
  • Cloth defect detection method based on image processing
  • Cloth defect detection method based on image processing

Examples

Experimental program
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Effect test

Embodiment 1

[0109] A cloth defect detection method based on image processing, the method comprises the following steps:

[0110] (3) Adaptive denoising algorithm is adopted according to the actual situation on site;

[0111] (2) Perform sharpening and enhancement processing on the image after denoising in order to enhance the texture details and edge contours of image defects, so that the extraction of subsequent feature values ​​is more reliable;

[0112] (3) Use morphological operations and circulation area marking method to segment image defects, filter and enhance circulation;

[0113] (4) fabric feature value extraction and normalization;

[0114] (5) Identification and classification of fabric defects.

Embodiment 2

[0116] According to the cloth defect detection method based on image processing described in embodiment 1, the method of step (1) adopting an adaptive denoising algorithm according to the actual situation on the spot is to analyze the noise source and noise characteristics in the fabric image acquisition process, and experiment And correspondingly adopt algorithms such as air domain or frequency domain for preprocessing. If salt and pepper noise dominates, median filtering is adopted. If Gaussian noise dominates, wavelet threshold or Kalman filtering is used for denoising. Depending on the actual effect, the three can also be used. Combined with denoising.

Embodiment 3

[0118] According to the cloth defect detection method based on image processing described in embodiment 1 or 2, step (2) includes using prwiter operator, sober operator, laplace operator, or edge detection operators such as Canny to obtain the defect edge.

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PUM

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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...

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): G01N21/88G06T7/00
CPCG01N21/8851G01N2021/8887G06T7/0002
Inventor 汤仪平
Owner LIMING VOCATIONAL UNIV
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