Melt-blown cloth thickness consistency detection method based on image processing
A detection method and image processing technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve problems such as the influence of consistency, inability to accurately reflect the consistency of melt blown cloth thickness, and complex detection methods, so as to ensure accuracy and speed effect
Pending Publication Date: 2021-11-02
CHANGZHOU UNIV
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Problems solved by technology
The problems of this method are as follows: 1. The melt blown cloth needs to be taken out and divided into blocks before scanning and detection can be performed. The detection method is more complicated; 2. Scanning and detection is carried out by sampling in blocks, and the detection results are easily affected by the consistency of the thickness of the sampling part Sexual influence, it cannot accurately reflect the thickness consistency of the whole meltblown cloth
Method used
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[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. This figure is a simplified schematic diagram, which only schematically illustrates the basic structure of the present invention, so it only shows the structures related to the present invention.
[0029] The example of the present invention provides a method for detecting the thickness consistency of melt-blown cloth based on image processing, such as figure 1 Shown, S1, fabric image feature extraction;
[0030] S1. The possible areas corresponding to the thick or thin meltblown cloth in the rough positioning image include the following steps:
[0031] S11, image grayscale processing;
[0032] like figure 2 For the image of the melt blown cloth taken by lighting the bottom of the camera, such as image 3 is the grayscale processed image;
[0033] S12. Image binarization processing: after image grayscale processing, based on the grayscale value of the ...
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The invention relates to the technical field of fabric detection, and relates to a melt-blown cloth thickness consistency detection method based on image processing. The method comprises the following steps: S1, coarsely positioning a possible area corresponding to too thick or too thin melt-blown cloth in an image; S2, precisely positioning an over-thick or over-thin area corresponding to the melt-blown cloth in the image; and S3, finding out the contour of an over-thick or over-thin area of the melt-blown cloth based on a fine positioning result. The image is analyzed through the DBSCAN clustering algorithm, a group of optimal neighborhood parameter solutions are automatically selected by utilizing the clustering evaluation coefficient, the requirement of automation is met, the detection method is simple, and the thickness consistency of the melt-blown cloth can be rapidly detected.
Description
technical field [0001] The invention relates to the technical field of fabric detection, in particular to a method for detecting the thickness consistency of melt-blown cloth based on image processing. Background technique [0002] As a kind of non-woven material, melt blown cloth occupies an increasingly important position in both industrial production and personal life due to its low production cost, high production efficiency and excellent product performance. The consistency of the thickness of the melt blown cloth directly affects an important technical index of the melt blown cloth. The method used in production is usually to take some samples for testing after a roll of meltblown cloth is processed. This kind of detection has the following two disadvantages. One is that sampling inspection cannot ensure that the thickness of a roll of meltblown cloth produced is consistent; the other is that automatic detection cannot be realized during the production process, and th...
Claims
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Login to View More IPC IPC(8): G06T7/00G06T7/60G01B11/06G06K9/32G06K9/38G06K9/46G06K9/62
CPCG06T7/0004G06T7/60G01B11/06G06T2207/10024G06T2207/20104G06T2207/30108G06F18/23G06F18/241Y02P90/30
Inventor 陈从平颜逸洲李少玉丁坤周正旺张屹戴国洪钮嘉炜
Owner CHANGZHOU UNIV