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A color difference detection method for high-gloss cigarette rod wrapping paper based on machine vision recognition technology

A recognition technology and machine vision technology, applied in the field of color difference analysis of high-gloss cigarette rod wrapping paper, can solve the problems of inability to meet the needs of industrial control, the difficulty of color difference control, etc., to expand the representativeness of sampling, improve efficiency, and deal with reflections The effect of light interference

Active Publication Date: 2019-09-17
CHINA TOBACCO YUNNAN IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

High-gloss cigarette rod wrapping paper is widely used in the tobacco industry due to its bright and beautiful visual effects. However, due to the interference of reflected light, the difficulty of color difference control is also increasing. Traditional color difference detection and analysis methods can no longer Meeting Industrial Control Needs

Method used

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  • A color difference detection method for high-gloss cigarette rod wrapping paper based on machine vision recognition technology
  • A color difference detection method for high-gloss cigarette rod wrapping paper based on machine vision recognition technology
  • A color difference detection method for high-gloss cigarette rod wrapping paper based on machine vision recognition technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] a. Unfold two pieces of high-gloss strip wrapping paper continuously produced by Yunyan (Yunlong) in the same batch into a plane, and place the side with ink vertically upward on the test bench.

[0029] b. Set up on the test bench and use a uniform and constant D65 standard light source to irradiate vertically on the sample to be tested.

[0030] c. Select a single CCD camera with a high-definition, high-speed camera lens. According to the field of view requirements of the sample to be tested, turn on the D65 uniform standard light source in (2), and take a full-width standard image of the high-gloss wrapping paper of the cigarette. The light source is always turned on throughout the shooting process, and the entire image signal is obtained.

[0031] d. Divide the obtained whole image signal into 32 different areas equally, and convert the image signal of each area of ​​the measured target into a digital signal through A / D conversion, that is, RGB value.

[0032] e. B...

Embodiment 2

[0038] Repeat Example 1, with the following differences:

[0039] a Experimental sample Select Yunyan (Ruan Ruyi) trademark paper with different process conditions and different raw materials, and place and test the sample in the manner in Example 1.

[0040] b Select sample C as the standard, and calculate another sample D and its overall RGB index Y 像指 The difference value is used as the basis for judging the color difference of different samples. See Table 3 for specific data. It can be seen from Table 3 that the overall RGB index Y measured three times for samples C and D 2 with Y 1 The average value of the difference ratio is 21.130%, indicating that there is a significant difference in the color of the two samples, and the appearance color difference is obvious, which is consistent with the visual judgment result, while the judgment result of the color difference meter is that there is a slight difference, indicating that the resolution of the color difference analysi...

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Abstract

The invention relates to a machine vision recognition technology-based color difference detection method of high gloss cigarette carton packaging paper. The machine vision recognition technology-based color difference detection method comprises following steps: 1, a piece of packaging paper to be tested is unfolded on a testing platform; 2, a uniform constant D65 standard light source is turned on; 3, a single set of CCD camera is selected, a panorama standard picture is taken from a fixed position, and the signals of the whole picture is obtained; 4, the panorama standard picture is divided into 32 different parts, the signal of each part is converted into digital signal via A / D conversion so as to obtain a RGB value; 5, the RGB values X<1> to X<32> are introduced into a regression equation to calculate the value of packaging paper whole RGB index Y<RGB index>, and the value is recorded as Y2; and 6, the same method is used for measuring and calculating of a piece of standard cigarette carton packaging paper, and an obtained value is recorded as Y1, wherein the absolute value of the difference value of Y2 and Y1 is divided by Y1, and it is determined that no color difference is detected between the two high gloss cigarette carton packaging paper samples to be tested if an obtained value is equal to or smaller than 5%.

Description

technical field [0001] The invention belongs to the field of appearance quality control of cigarette stick wrapping paper, and in particular relates to a method for analyzing color difference of high-gloss cigarette stick wrapping paper through machine vision recognition technology. Background technique [0002] The appearance quality of cigarette wrapping paper directly bears the external image and anti-counterfeiting function of cigarette products, determines the first impression of cigarette final consumers on cigarette products, and affects consumers' choice of cigarette products to a certain extent. Cigarette consumers' preference for cigarette products requires that the internal quality and packaging quality of cigarettes be consistent. Color difference is an important indicator for the quality inspection of cigarette stick wrapping paper printing, which directly affects the packaging quality and corporate image of cigarette products. One of the difficulties of quality...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
Inventor 郭丽娟李超范多青赵敏缪燕霞段海波刘秀明刘欣
Owner CHINA TOBACCO YUNNAN IND
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