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A cloth surface defect detection method based on structural texture method

A technology of defect detection and texture method, which is applied in the direction of optical defect/defect, can solve the problems of low standardization, difficult maintenance, slow speed, etc., and achieve the effect of improving detection efficiency, good detection effect and reducing interference

Inactive Publication Date: 2017-07-18
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the textile industry, the quality inspection requirements of cloth are becoming more and more strict with this development trend, and with the continuous increase of textile output, the speed and accuracy required for the cloth inspection process are greatly improved, while the traditional manual inspection method is slow and expensive. High, low degree of standardization, high false detection rate, so fast and accurate detection of textile defects has become an urgent problem to be solved in the production process
[0003] Faced with such a demand, some large-scale foreign enterprises have already had a certain scale of application in the industry. The main representative products include the IQ-TEX4 automatic online inspection system of the Israeli EVS company, the Cyclops automatic online fabric inspection system of the American BMS company, etc. , but the cost is high and maintenance is not easy, so it is not widely used in China

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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  • A cloth surface defect detection method based on structural texture method
  • A cloth surface defect detection method based on structural texture method
  • A cloth surface defect detection method based on structural texture method

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Embodiment Construction

[0015] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0016] The basic purpose of the present invention is to check the flaw defect on the cloth surface, and the hardware construction of the device is as follows: figure 1 As shown, the overall process of the algorithm is as follows figure 2 shown. The core of the whole algorithm is to decompose the structural part and texture part of the image by building a variation model so as to eliminate the influence of texture on defect detection.

[0017] Further, the specific implementation steps are:

[0018] (1) Acquisition of images: use the line array camera to acquire the cloth image in real time, adjust the transmission speed of the cloth, the camera acquisition frequency and the focal length of the camera aperture and ...

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 provides a cloth surface blemish detection method based on a structure texture method. The cloth surface blemish online visual detection method includes the steps that firstly, a collected cloth image is processed through a total variation regularization method, so that the image is divided into a background texture part and a structure part containing blemishes; image enhancement processing is then conducted on the structure part, thresholding processing is conducted through calculation of the correlation between the image of the structure part and an image of a structure part of standard cloth, and therefore a binary image of a blemish region is acquired; finally, pixel coordinate information of the blemish region is stored and recorded for following processing. Due to the fact that the cloth image is processed through the structure texture method, interference in blemish detection by an original texture of cloth is eliminated, detection accuracy can be effectively improved, and the detection omission rate and the false detection rate are reduced.

Description

technical field [0001] The invention relates to a machine vision-based cloth surface flaw detection method, specifically referring to an image detection method for detecting cloth surface flaws transmitted at high speed through a line array camera under a line array light source and recording them in real time in an industrial site. Background technique [0002] In the industrial production process, with the continuous improvement of the technical level, the market's requirements for product quality continue to increase. In the textile industry, the quality inspection requirements of cloth are becoming more and more strict with this development trend, and with the continuous increase of textile output, the speed and accuracy required for the cloth inspection process are greatly improved, while the traditional manual inspection method is slow and expensive. High, low degree of standardization, high false detection rate, so fast and accurate detection of textile defects has be...

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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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/95
Inventor 白瑞林何薇
Owner JIANGNAN UNIV