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CN106404792B - A kind of acetes chinensis method of the high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology - Google Patents

A kind of acetes chinensis method of the high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology Download PDF

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CN106404792B
CN106404792B CN201610797431.4A CN201610797431A CN106404792B CN 106404792 B CN106404792 B CN 106404792B CN 201610797431 A CN201610797431 A CN 201610797431A CN 106404792 B CN106404792 B CN 106404792B
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wrapping paper
tobacco shred
rgb
photosensitiveness
region
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CN106404792A (en
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郭丽娟
李超
范多青
赵敏
缪燕霞
段海波
刘秀明
刘欣
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China Tobacco Yunnan Industrial Co Ltd
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China Tobacco Yunnan Industrial Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges

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  • Chemical & Material Sciences (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Image Analysis (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The acetes chinensis method of the present invention relates to a kind of high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology, comprising the following steps: (1) wrapping paper to be detected is launched into plane and be placed on testboard;(2) the D65 standard sources of homogeneous constant is opened;(3) separate unit CCD camera is selected, shoots full width standard picture in fixed position, and obtain entire image signal;(4) acquired entire image signal is divided into 32 pieces of different regions, and the picture signal in each region is turned into digital signal, i.e. rgb value by A/D conversion;(5) by the rgb value X in each region1To X32It is substituting in regression equation, calculates a wrapping paper entirety RGB index YRGB indexNumerical value;(6) in kind measure and calculate respectively the whole RGB index Y of standard cigarettes bar wrapping paper and tobacco shred wrapping paper to be comparedRGB indexNumerical value Y1And Y2, as │ Y2‑Y1│/Y1When≤5%, it is believed that two high photosensitiveness tobacco shred wrapping paper no color differneces to be compared.

Description

A kind of color difference inspection of the high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology Survey method
Technical field
The invention belongs to tobacco shred wrapping paper appearance quality trait fields, and in particular to one kind passes through Machine Vision Recognition skill Color difference analysis method of the art to high photosensitiveness tobacco shred wrapping paper.
Background technique
Tobacco shred wrapping paper presentation quality directly carries the external image and antiforge function of cigarette product, determines cigarette Ultimate consumer affects selection of the consumer to cigarette product to the first impression of cigarette product to a certain extent.Volume Cigarette consumer requires cigarette interior quality and packaging quality to be consistent the favor of cigarette product, and color difference is tobacco shred packaging The important indicator that paper printing quality is examined directly influences the packaging quality and corporate image and current cigarette of cigarette product Item packs one of the difficult point of paper quality control.At present evaluating cigarette item, box packaging quality consistency, generally use subjective visual inspection Method or color difference meter method will be printed product and compared with standard sample, to determine whether there are color difference.Tobacco shred packaging color difference be Refer to printed matter output during due to personnel, equipment, raw material, technology, measurement etc. difference so that printed matter with The heterochromia formed between original copy in coloristic areas.
Traditional evaluation method of tobacco shred wrapping paper color difference mainly has visual subjective methods and integrating sphere type spectrophotometer method. Visual subjective methods are since impression degree of the crowd to color difference is different, and there are biggish uncertainties;Integrating sphere type is divided light Instrument method is spent, differentiates item since its detection aperture and area of detection are smaller, while using the mode for comparing reflection optical attenuation The color difference of packaging.So cannot achieve the detection of full width sample, the detection for the tobacco shred wrapping paper color difference containing high photosensitiveness Also due to the light intensity of background and mixed and disorderly reflection and there are bigger difficulty.Wherein the bloom tobacco shred wrapping paper refers to mirror surface Reflectivity is greater than 30% paper.The visual effect of high photosensitiveness tobacco shred wrapping paper magnificent mansion due to light, is answered in cigarette with industry With increasingly extensive, but because of the interference of reflected light, the difficulty of color difference control is also continuously increased, traditional acetes chinensis and analysis side Method has been unable to meet Industry Control demand.Industry concern was become already for the detection method of high photosensitiveness tobacco shred wrapping paper color difference One of emphasis.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to provide one kind based on Machine Vision Recognition Technology to bloom The color difference analysis method of property tobacco shred wrapping paper, fast and accurately to complete the prison of high photosensitiveness tobacco shred wrapping paper presentation quality Work is controlled, the quality of cigarette product is promoted.
The purpose of the present invention is achieved by the following technical programs.
A kind of color difference analysis method of the high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology, including following step It is rapid:
(1) tobacco shred wrapping paper to be detected is launched into plane, and makes one with ink to be placed in testboard upwardly On;
(2) it is arranged and opens the D65 standard sources of a homogeneous constant on testboard;
(3) separate unit CCD camera is selected, in the full width standard drawing of the fixed position shooting high photosensitiveness bar wrapping paper of cigarette Picture is always on light source in entire shooting process, and obtains entire image signal;
(4) acquired entire image signal is divided into 32 pieces of different regions, and by each piece of region of measured target Picture signal by A/D conversion be turned into digital signal, i.e. rgb value;
(5) by the rgb value X in 32 pieces of regions of detected wrapping paper1To X32It is substituting in following regression equation, calculates Wrapping paper entirety RGB index YRGB indexNumerical value:
YRGB index=10.766X1+10.789X2+9.554X3+9.522X4+8.724X5+8.717X6+8.821X7+8.639X8 +8.527X9+8.525X10+8.544X11+8.593X12+8.621X13+8.668X14+8.575X15+8.506X16+7.114X17+ 7.038X18+7.226X19+7.025X20+7.129X21+7.018X22+7.029X23+7.086X24+5.038X25+5.035X26+ 5.053X27+5.036X28+5.071X29+5.235X30+5.097X31+5.138X32
(6) in kind measure and calculate respectively standard cigarettes bar wrapping paper and tobacco shred wrapping paper to be compared Whole RGB index YRGB indexNumerical value Y1And Y2, as │ Y2-Y1│/Y1When≤5%, it is believed that two high photosensitiveness tobacco shred packagings to be compared Paper no color differnece.
Wherein the CCD camera preferably has fine definition and high speed camera, wherein " fine definition " refers to resolution Rate is at least 5,000,000 pixels, preferably at least 8,000,000 pixels, more preferably at least 10,000,000 pixels.Wherein " high speed " refers at least every Second beats takes the photograph 10 photos.
It is listed in the following table 1 for the rgb value in above-mentioned 32 pieces of regions, to tobacco shred wrapping paper entirety RGB index Regression equation coefficient.
1 regression equation coefficient of table
Compared with the existing technology, the invention has the following advantages that
1, of the invention method is simple, and analytic process is quick, and calculated result is accurate, and adjustment is easy to operate, achievable Non-destructive testing.
2, using Uniform Illumination technology, the reflected light interference of complicated and high photosensitiveness tobacco shred wrapping paper can be successfully managed, subtracted Small human error improves efficiency, repeatability is high.
3, Machine Vision Recognition Technology is a kind of technology for standardizing view mode.In a standardized way instead of human eye Carry out the entire plane of testing product, rather than some point on product, this greatly expands sample representation, improves detection Reliability.
4, what analytic process acquired is the entire image signal of tobacco shred wrapping paper, is assigned to the subregion RGB of entire image Different weights is given to calculate whole RGB index YAs referring toNumerical value and compare.More fully to wrapping paper color difference analysis, it is Ensure that cigarette presentation quality and the stability of technique production provide advantageous technical support.
Detailed description of the invention
Fig. 1 is that tobacco shred wrapping paper picture signal divides area schematic.
Fig. 2 is the in-profile figure of Machine Vision Recognition equipment, and figure label: 1 is CCD camera;2 be testboard;3 are D65 standard sources;4 be image-signal processor;5 be sample to be tested.
Specific embodiment
The present invention is described in further detail by the following examples, but specific embodiment is not to skill of the present invention The restriction of art scheme.
Embodiment 1
A, the same batch quantity-produced two of cloud and mist (Yunlong) is opened into high photosensitiveness bar wrapping paper and is launched into plane, and make band oil The one side of ink is placed on testboard vertically upward.
B, it is arranged and using the D65 standard sources vertical irradiation of a homogeneous constant on testboard on sample to be tested.
C, selection has fine definition, the separate unit CCD camera of high-speed camera camera lens.It wants in the visual field according to sample to be tested It asks, opens the uniform standard sources of D65 in (2), shoot the full width standard picture of the high photosensitiveness bar wrapping paper of cigarette, entirely shot It is always on light source in journey, and obtains entire image signal.
D, acquired entire image signal is divided into 32 pieces of different regions, and by each piece of region of measured target Picture signal is turned into digital signal, i.e. rgb value by A/D conversion.
E, the rgb value in 32 pieces of regions of detected wrapping paper is brought into respectively into following regression equation, and calculated Wrapping paper entirety RGB index YRGB indexNumerical value:
YAs referring to=10.766X1+10.789X2+9.554X3+9.522X4+8.724X5+8.717X6+8.821X7+8.639X8+ 8.527X9+8.525X10+8.544X11+8.593X12+8.621X13+8.668X14+8.575X15+8.506X16+7.114X17+ 7.038X18+7.226X19+7.025X20+7.129X21+7.018X22+7.029X23+7.086X24+5.038X25+5.035X26+ 5.053X27+5.036X28+5.071X29+5.235X30+5.097X31+5.138X32
F, the whole RGB index Y of standard cigarettes bar wrapping paper and tobacco shred wrapping paper to be compared is calculated separatelyRGB index's Numerical value Y1And Y2, as │ Y2-Y1│/Y1When≤5%, it is believed that two high photosensitiveness tobacco shred wrapping paper no color differneces to be compared.Specific data Referring to table 2.As shown in Table 2, sample A and B measures entirety RGB index Y three times2With Y1Difference ratio mean value be 3.093%, say Bright two samples are similar, appearance be not present color difference, this with range estimation determine result it is consistent, while also with the judgement result one of color difference meter Cause, illustrate the color difference analysis method when judging the same brand trade mark color difference of same process condition, same materials accuracy compared with Height has good practicability.
Table 2 is using distinct methods to the colour difference assessment result of sample A and B
Embodiment 2
Embodiment 1 is repeated, there is following difference:
A laboratory sample selects cloud and mist (soft to comply with one's wishes) label paper of different technology conditions, different material, by embodiment 1 Mode is placed and test sample.
B chooses sample C as standard, and calculates the whole RGB index Y of another sample D and itsAs referring toDifference value, as The judgment basis of different sample color difference.Specific data are referring to table 3.As shown in Table 3, the whole RGB that sample C and D is measured three times refers to Number Y2With Y1Difference ratio mean value be 21.130%, illustrate that there are notable differences for two sample colors, appearance chromatic difference is obvious, with Range estimation determines that result is consistent, and the judgement result of color difference meter is there are nuance, illustrates the color difference analysis method high resolution In color difference meter analysis method, have when judging the identic trade mark color difference of different technology conditions, different material more good reliable Property.
Table 3 is using distinct methods to the colour difference assessment result of sample C and D

Claims (1)

1. a kind of acetes chinensis method of the high photosensitiveness tobacco shred wrapping paper based on Machine Vision Recognition Technology, including following step It is rapid:
(1) high photosensitiveness tobacco shred wrapping paper to be detected is launched into plane, and makes one with ink to be placed in test upwardly On platform;
(2) it is arranged and opens the D65 standard sources of a homogeneous constant on testboard;
(3) separate unit CCD camera is selected, shoots the full width standard picture of high photosensitiveness tobacco shred wrapping paper in fixed position, it is whole It is always on light source in a shooting process, and obtains entire image signal;
(4) acquired entire image signal is divided into 32 pieces of different regions, and by the figure in each piece of region of measured target As signal is turned into digital signal, i.e. rgb value by A/D conversion;Specific partitioning scenario is as follows:
Entire image is divided into 32 pieces of regions according to the form that four rows eight arrange, wherein each region is from left to right successively in the first row Number is 1 to 8, and number consecutively is 9 to 16 from left to right in each region in the second row, and each region is successively compiled from left to right in the third line It number is 17 to 24, number consecutively is 25 to 32 from left to right in each region in fourth line;
(5) by the rgb value X in high 32 pieces of regions of photosensitiveness tobacco shred wrapping paper detected1To X32It is substituting to following regression equation In, calculate high photosensitiveness tobacco shred wrapping paper entirety RGB index YRGB indexNumerical value:
YRGB index=10.766X1+10.789X2+9.554X3+9.522X4+8.724X5+8.717X6+8.821X7+8.639X8+ 8.527X9+8.525X10+8.544X11+8.593X12+8.621X13+8.668X14+8.575X15+8.506X16+7.114X17+ 7.038X18+7.226X19+7.025X20+7.129X21+7.018X22+7.029X23+7.086X24+5.038X25+5.035X26+ 5.053X27+5.036X28+5.071X29+5.235X30+5.097X31+5.138X32
(6) in kind measure and calculate respectively standard cigarettes bar wrapping paper and high photosensitiveness tobacco shred wrapping paper to be compared Whole RGB index YRGB indexNumerical value Y1And Y2, as │ Y2-Y1│/Y1When≤5%, it is believed that high photosensitiveness tobacco shred packaging to be compared Paper no color differnece.
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CN110243475B (en) * 2019-05-05 2021-09-24 浙江乌镇街科技有限公司 Fabric color difference detection method based on machine vision recognition technology
CN111579505A (en) * 2020-04-23 2020-08-25 河南中烟工业有限责任公司 Cigarette packaging material color difference detection method based on digital image processing
CN111739018B (en) * 2020-07-27 2020-12-11 中建科技集团有限公司 Chromatic aberration detection method, device, terminal and medium based on point cloud technology

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102494773A (en) * 2011-11-14 2012-06-13 无锡众望四维科技有限公司 Automatic detection method of machine vision system on snap-fastener chromatic aberration
CN104197838A (en) * 2014-09-19 2014-12-10 安徽中烟工业有限责任公司 Computer vision based cigarette carton and box packing paper dimension measurement method
CN104574389A (en) * 2014-12-26 2015-04-29 康奋威科技(杭州)有限公司 Battery piece chromatism selection control method based on color machine vision
CN104764718A (en) * 2015-04-14 2015-07-08 云南中烟工业有限责任公司 Method for performing color-difference evaluation on cigarette outside wrapping paper

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102494773A (en) * 2011-11-14 2012-06-13 无锡众望四维科技有限公司 Automatic detection method of machine vision system on snap-fastener chromatic aberration
CN104197838A (en) * 2014-09-19 2014-12-10 安徽中烟工业有限责任公司 Computer vision based cigarette carton and box packing paper dimension measurement method
CN104574389A (en) * 2014-12-26 2015-04-29 康奋威科技(杭州)有限公司 Battery piece chromatism selection control method based on color machine vision
CN104764718A (en) * 2015-04-14 2015-07-08 云南中烟工业有限责任公司 Method for performing color-difference evaluation on cigarette outside wrapping paper

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
金属印刷品在线色差检测系统;范鹏飞等;《江南大学学报》;20151231;第14卷(第6期);第2.2图像采集系统设计以及第3.3图像分割部分

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