A cloth defect detection method based on Fourier transform and image morphology

A technology of Fourier transform and image morphology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of poor cloth detection effect and single type of defect identification.

Active Publication Date: 2019-06-25
ZHEJIANG UNIV OF TECH
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Problems solved by technology

This method divides the entire recognition process into upper and lower computers to complete the cooperation, and the recognition efficiency is h

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  • A cloth defect detection method based on Fourier transform and image morphology
  • A cloth defect detection method based on Fourier transform and image morphology
  • A cloth defect detection method based on Fourier transform and image morphology

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Embodiment Construction

[0053] The present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the present invention is not limited thereto.

[0054] Such as figure 1 A cloth defect detection method based on Fourier transform and image morphology is shown, including the following steps:

[0055] (1) Use a line array camera to collect the original image of the cloth;

[0056] (2) Preprocessing the original image;

[0057] (3) Using LAWS texture filtering to extract image texture features;

[0058] (4) Using the GMM classifier model for pre-discrimination of defects;

[0059] (5) Use a Gaussian filter to construct a band-stop filter;

[0060] (6) Fourier transform and inverse transform to generate defect images;

[0061] (7) Using image morphology to extract the position and area of ​​cloth defects;

[0062] (8) Output the cloth detection result.

[0063] Step (1) specifically includes:

[0064] It is required that the dpi of the origin...

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Abstract

The invention relates to a cloth defect detection method based on Fourier transform and image morphology. The cloth defect detection method comprises the following steps: (1) collecting an original image of cloth by using a linear array camera; (2) preprocessing the original image; (3) extracting image texture features by using LAWS texture filtering; (4) adopting a GMM classifier model to carry out defect pre-judgment; (5) constructing a band elimination filter by using a Gaussian filter; (6) generating a defect image by using Fourier transform and inverse transform; (7) extracting flaw positions and areas by adopting image morphology; And (8) outputting a cloth detection result. According to the method, more than ten types of cloth flaws including broken wefts, broken warps, broken holes, floating wefts and the like can be detected in real time, the detection speed is high, the accuracy rate is high, and the detection robustness is enhanced through the image processing method integrating the airspace and the frequency domain.

Description

technical field [0001] The invention belongs to the application of machine vision technology in the textile industry, in particular to a cloth defect detection method based on Fourier transform and image morphology. Background technique [0002] China has developed into one of the world's textile industry bases, and the textile industry plays an important role in the country's economic development. With the rapid development of science and technology, the competition in the international textile industry is becoming increasingly fierce. The quality of cloth has a great impact on the efficiency of textile production. Major textile companies are facing great pressure from high-quality standards and high labor costs. However, in China, The fabric defect detection of most textile enterprises still stays in the traditional manual detection stage. [0003] Under traditional manual inspection, the moving speed of cloth is usually only 5-10m / min, which is too low to meet the requir...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06N3/04
Inventor 朱威陈康任振峰汤如吴远郑雅羽
Owner ZHEJIANG UNIV OF TECH
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