Method for detecting densities of fabric hairballs based on Gabor filtering
A density detection and fabric technology, applied in image data processing, instruments, calculations, etc., can solve problems such as the inability to effectively remove the influence of fabric hairball shadows, achieve stable removal, and overcome strong subjectivity.
Active Publication Date: 2015-05-27
徐州汉纳纺织有限公司
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Problems solved by technology
[0007] The invention provides a fabric pilling level detection method based on Gabor filtering, which overcomes the disadvantage that the fabric pilling level assessment method based on Gabor filtering in the prior art cannot effectively remove the influence of fabric pilling shadows, and improves the level assessment accuracy
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[0043] Below in conjunction with example, the present invention will be further described.
[0044] Step 1: According to GB / T 4802.1-2008 "Determination of Fabric Pilling Properties Part 1 Circular Track Method" issued by the National Textile Standardization Technical Committee, the fabric pilling test is carried out, and the DCP-7010 laser multifunction machine is used to scan Obtain fabric pilling image, shown in this embodiment is combed cotton fabric, such as figure 1 shown;
[0045] From figure 1 It can be seen that the non-fabric background noise obtained during the scanning process is white. In order to see the range of the background noise clearly, the figure 1 A text box with a black border line added to the size of the image.
[0046] Step 2: extract the fabric area of the fabric pilling image, and remove the non-fabric background effect introduced by the fabric pilling collection process;
[0047] The specific steps for extracting the fabric area of the fabr...
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The invention discloses a method for detecting the densities of fabric hairballs based on Gabor filtering. The method comprises the following steps: taking a fabric sample image and removing the background of the image and an edge region; performing binary segmentation on the pre-treated image and extracting fabric hairball shadows; performing filtering on the pre-treated image by adopting an even symmetric two-dimensional Gabor filter; performing binary segmentation on the filtered image and extracting fabric hairballs and fabric hairball shadows; removing the fabric hairball shadows in the second binarized image according to the first binarized image and extracting the fabric hairballs; calculating the ratio of the area of the fabric hairballs in a third binarized image to the total area of a fabric area image to obtain the densities of the fabric hairballs. According to the method, the fabric texture and hairball shadow influence can be effectively and stably removed, and in the objective fabric fuzzing and pilling evaluation process which is not insensitive to hairball sizes and fabric types, the degree of automation of the fabric fuzzing and pilling evaluation process is improved.
Description
technical field [0001] The invention relates to image processing and recognition technology, in particular to a fabric pill density detection method based on Gabor filtering. Background technique [0002] During the process of wearing and washing, the fabric will pill due to friction, which will affect the appearance and reduce the wearing performance of the fabric. Therefore, the evaluation of fabric pilling level is particularly important in production quality control and foreign trade inspection. The traditional pilling grade evaluation method mainly relies on manual work, which is highly subjective, and the evaluation results are easily affected by the physical, psychological and social environment of the evaluator. [0003] With the widespread application of computer technology in the textile industry, researchers at home and abroad have begun to use computer digital image processing technology to do related research on this aspect. One of them uses Fourier transform t...
Claims
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IPC IPC(8): G06T7/00G06T5/00
CPCG06T7/0004G06T2207/30124
Inventor 韩永华
Owner 徐州汉纳纺织有限公司