Vision conspicuousness-based cloth flaw detection method

A defect detection and significant technology, applied in image data processing, instrumentation, calculation, etc., can solve problems such as poor direction selectivity, inaccurate positioning, and increased computational complexity, to reduce complexity, improve recognition rate, and reduce interference. Effect

Active Publication Date: 2014-06-18
SUZHOU UNIV
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AI Technical Summary

Problems solved by technology

The Fourier transform is a global transformation of the image, so it cannot accurately locate the defect; the transformation detection performance of the Gabor analysis is better, but it needs to perform two-dimensional filtering and fusion on the multi-channel direction, which greatly incre

Method used

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  • Vision conspicuousness-based cloth flaw detection method
  • Vision conspicuousness-based cloth flaw detection method
  • Vision conspicuousness-based cloth flaw detection method

Examples

Experimental program
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Embodiment

[0030] Example: see figure 1 , as shown in the legend, the above cloth defect detection method includes the following steps:

[0031] (1) Collect images, collect images of cloth through industrial cameras, and obtain initial grayscale images ,Such as figure 2 (a) is the initial image of the cloth intact image, such as image 3 (a) is the initial grayscale image of a typical cloth defect image.

[0032] (2), Brightness feature processing:

[0033] a. The above initial grayscale image input through a two-dimensional Gaussian filter Perform Gaussian pyramid filtering. Pyramid filtering refers to continuous 1 / 2 downsampling and filtering of the initial grayscale image. The scale factor of the filter decreases as the image decreases, and a set of filtering results at different scales is obtained. In this example The pyramid level is 2, that is, the filtering results of different brightness features at two scales are obtained, that is, two brightness feature maps ;

[003...

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Abstract

The invention discloses a vision conspicuousness-based cloth flaw detection method which comprises the following steps: (1) collecting an image; (2) processing brightness features; (3) processing direction features; (4) performing multichannel superposition normalizing processing; (5) processing a grey-scale map; (6) performing binaryzation processing; (7) judging a flaw area. Compared with the traditional cloth flaw detection method, the vision conspicuousness-based cloth flaw detection method has the advantages that the operation complexity is reduced, the recognition rate is increased, accurate positioning can be realized, false detection easily caused under the condition that a gray value of a conspicuousness image of a perfection image of detected cloth is higher than a gray value of a perfection part in a flaw image is avoided, the interference of a background during detection is effectively reduced, and the condition that a target area obtained by performing adaptive threshold segmentation on an image of perfect cloth is mistakenly judged to be the flaw area is reduced.

Description

technical field [0001] The invention relates to a cloth defect detection method, in particular to a cloth defect detection method based on visual salience. Background technique [0002] In modern textile production, quality control and testing are very important, and cloth defect detection is a particularly critical component. At present, domestic textile enterprises mainly use manual testing methods, and the detection speed of human eyes is limited, and the detection results are easily affected. Influenced by subjective factors, false detection and missed detection are prone to occur. Replacing manual cloth defect detection with advanced automatic detection technology is an important measure to improve detection efficiency, reduce labor, reduce labor intensity and ensure cloth quality. Scholars at home and abroad have made many outstanding achievements in the research of automatic detection methods. [0003] The cloth defect detection algorithm mainly judges the defect ac...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 何志勇孙立宁胡佳娟翁桂荣左保齐余雷
Owner SUZHOU UNIV
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