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Detection and evaluation method of water staining level of high anti-noise fabrics based on image processing

An image processing and fabric technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problem of low contrast between the area to be segmented and the background, and achieve high anti-noise, automatic water-staining level test, and low-cost effects

Active Publication Date: 2018-04-27
山东阳信华龙纺织科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a method based on image processing to solve the problem that the detection process of fabric water level based on image processing algorithm is affected by the interference of fabric texture, uneven illumination, illumination change, reflection, etc., and the contrast between the area to be segmented and the background is low. Method for testing and evaluating the degree of water staining of high-noise-resistant fabrics

Method used

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  • Detection and evaluation method of water staining level of high anti-noise fabrics based on image processing
  • Detection and evaluation method of water staining level of high anti-noise fabrics based on image processing
  • Detection and evaluation method of water staining level of high anti-noise fabrics based on image processing

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Embodiment 1: Determination of wetting ratio of standard samples.

[0029] Measure the wetting ratios of the six standard samples using the standard samples (grade 0-5) of AATCC fabric water wetting grade evaluation according to the following methods.

[0030] Step 1: Use a scanner to scan to obtain the standard sample image of AATCC fabric water wetting grade evaluation, such as Figure 5 shown.

[0031] Step: 2: Use the method of Hough transform to detect the circle to obtain the test area of ​​the standard sample map, and cut out the non-test area; specifically:

[0032] Step 2.1: Grayscale the standard image obtained in step 1; the grayscale is completed through the calculation of formula (1).

[0033] (1)

[0034] R in formula (1) refers to the gray value of the red component in the collected color image, G refers to the gray value of the green component, B refers to the gray value of the blue component, and I represents the converted brightness value.

[00...

Embodiment 2

[0046] Embodiment 2, the detection and evaluation of the water-stained grade of the fabric

[0047] Step 1: The fabric to be tested is subjected to a fabric water wetting test according to the standard AATCC22-2005 "Textile Water Repellency Test Spray Method" of the American Association of Textile Chemists and Printers and Dyeers, and the following results are obtained: figure 1 Wetted image of fabric shown.

[0048] Step: 2: adopt the method of Hough transform detection circle to obtain the test area of ​​the fabric wetted image, and cut out the non-test area; specifically:

[0049] Step 2.1: Grayscale the wet fabric image obtained in step 1; the grayscale is completed through the calculation of formula (1).

[0050] (1)

[0051] R in formula (1) refers to the gray value of the red component in the collected color image, G refers to the gray value of the green component, B refers to the gray value of the blue component, and I represents the converted brightness value.

...

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Abstract

The invention discloses a method for detecting and evaluating spray rating of high anti-noise fabric based on image processing. The method comprises the following steps of: firstly, performing fabric spray experiment on to-be-detected fabric and obtaining a fabric spray image; introducing wavelet transform, screening fabric spray grey image information obtained by cutting, removing influences of fabric texture, uneven irradiation and illumination variation on fabric spray rating detection from a space frequency angle; performing histogram equalization on the image treated by wavelet transform to strength a contrast ratio between the spray part and the fabric background; and finally, obtaining a wetting ratio for judging the fabric spray rating. The method disclosed by the invention can be used for effectively overcoming the influences of fabric texture, uneven irradiation, illumination variation and reflected light on evaluation of the spray rating of fabric, improving the contrast ratio of the spray part ad un-sprayed part of the fabric, so that the high anti-noise full-automatic detection for the spray rating of fabric based on the image processing is realized.

Description

technical field [0001] The invention belongs to the field of performance testing of textiles and garments, and in particular relates to an image processing-based method for detecting and evaluating the water-staining level of high-noise-resistant fabrics. Background technique [0002] The evaluation process of traditional artificial fabrics is highly subjective, has large experimental errors, poor consistency, and is prone to missing and false detections. In order to solve these problems, an image processing-based detection method for fabric water staining level appeared for the spray method of AATCC standard. [0003] The difficulty of the detection method of fabric water-stained level based on image processing is that the contrast between the water-stained area and the background to be segmented is small, and there is noise interference such as texture and uneven illumination: considering that the color difference between the water-stained area and the non-stained area is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/62
CPCG06T7/0004G06T7/62G06T2207/30124
Inventor 韩永华张瑞林汪亚明
Owner 山东阳信华龙纺织科技有限公司
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