A method and system for detecting color fastness of textiles based on image processing
A technology of image processing and detection methods, which is applied in the directions of image data processing, image analysis, image enhancement, etc., can solve the problems that the color fastness is not necessarily the same, and cannot accurately reflect the color fastness and influence of samples, so as to improve reference Effect
Active Publication Date: 2022-07-01
启东新朋莱纺织科技有限公司
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Problems solved by technology
However, due to the different structures of the yarn sections used in weaving the sample, the dyeing results of each part of the fabric are different during dyeing, resulting in different color fastnesses in different areas of the fabric sample.
The rubbing of the crocking fastness tester is reciprocating, and the same position on the standard rubbing white cloth will be affected by multiple areas of the sample.
When the color fastness of different sample areas affecting the same position of the standard rubbing cloth is different, the corresponding color fastness at this position of the standard rubbing cloth cannot accurately reflect the real color fastness of the sample
If the color fastness of this area on the standard white rubbing cloth is affected by an area prone to color fading, the color fastness rating for this area will be reduced, so that the final voting result will not accurately reflect the color fastness of the sample , the accuracy of the detection cannot be guaranteed
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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[0045] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes an image processing-based textile color fastness detection method and system proposed by the present invention in conjunction with the accompanying drawings and preferred embodiments, The specific implementation, structure, features and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.
[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0047] The specific scheme of an image processing-ba...
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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The invention relates to the technical field of artificial intelligence, in particular to a method and system for detecting color fastness of textiles based on image processing. This method obtains the edge pixels and their texture directions of the color area on the reference white cloth image. Through the pixel similarity information and position similarity information of each edge pixel and other pixels in the texture direction, the effective rate of each edge pixel is obtained, so as to filter out the effective points and obtain the friction motion direction. Analyze the similarity of pixel values between other pixels on the straight line in the direction of friction movement and this pixel, and obtain the mixing ratio of each pixel. The credibility of each color region is obtained according to the mixing rate, efficiency and pixel value of the pixels in the color region. Adjust the initial color fastness of each color area according to the credibility to obtain the overall color fastness. The invention analyzes the mutual influence between the pixel points, obtains the reliability of strong reference and adjusts the initial color fastness, and realizes the accurate color fastness detection.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for detecting color fastness of textiles based on image processing. Background technique [0002] Color fastness is also called color fastness, color fastness. Refers to the resistance of the color of textiles to various effects during processing and use. [0003] The existing detection method of color fastness to rubbing is: put the sample on the rubbing fastness tester, rub it with a standard rubbing white cloth for a certain number of times under a certain pressure, and use a gray card to test the color stained on the standard rubbing white cloth. Rating, the resulting grade is the measured color fastness to rubbing. This method of judging which grade the color adhered to the standard rubbed white cloth is most suitable is based on the subjective tendency of people, and is affected by the state of the person, and the results cannot be guar...
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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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IPC IPC(8): G06T7/00G06T7/13G06T7/90G06V10/74G06V10/762G06V10/764G06K9/62
CPCG06T7/0004G06T7/13G06T7/90G06T2207/30124G06F18/23G06F18/22G06F18/24
Inventor 范春燕
Owner 启东新朋莱纺织科技有限公司