CN107543795A - A kind of method of discrimination in the flue-cured tobacco place of production - Google Patents
A kind of method of discrimination in the flue-cured tobacco place of production Download PDFInfo
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Abstract
The present invention relates to a kind of method of discrimination in the flue-cured tobacco place of production.The method of discrimination includes：Front red green index, positive champac colour index, positive and negative luminance difference, the positive and negative whitness index of establishing tobacco leaf are poor, positive and negative total color difference, front whitness index, positive color saturation and the discrimination model in the flue-cured tobacco place of production；The color quantizing index of tobacco leaf to be discriminated is detected, substitutes into discrimination model.The method of discrimination in the flue-cured tobacco place of production provided by the invention, the color quantizing indexs such as the front red green index that filters out, positive champac colour index have very strong dependency relation with the flue-cured tobacco place of production, pass through modeling method, the apparent region feature of different sources tobacco leaf can be reflected well, so as to effectively identify the flue-cured tobacco place of production using the discrimination model of foundation.Above-mentioned color quantizing index can detect by the way that colour photometer is convenient, and its detection process is simple, requirement to detection environment and sample is low, is precisely evaluated in quality of tobacco and has good application prospect in mechanized classification assorting room.
Description
Technical field
The invention belongs to the evaluation field of tobacco leaf, and in particular to a kind of method of discrimination in the flue-cured tobacco place of production.
Background technology
Tobacco is the important industrial crops in China, the quality of tobacco leaf and inherent cause, cultivation step, modulation technique and the place of production
Environment etc. is closely related.Wherein, influence of the home environment (height above sea level, humiture, weather conditions etc.) to quality of tobacco is extremely obvious,
The quality of tobacco stylistic differences of China's different producing area are obvious, the classical division of existing Luzhou-flavor, delicate fragrance type, flat-flavor, have again
The eight big odor type ecological region classifications further segmented.The tobacco leaf of different-style type is that each cigarette industry exploitation category is various
Chinese-style cigarette provides abundant raw material basis.Therefore, the accurate evaluation accurately distinguished to quality of tobacco in the tobacco leaf place of production is with after
Continuous industrial application plays an important roll, and tobacco leaf Production area recognition is also the hot issue of China's tobacco leaf grading research field.
Wang Xinmin etc. (tobacco science and technology, the 3rd phase in 2011) have studied the sieve of flue-cured tobacco apparent region feature sensory evaluation index
Choosing, the concept of flue-cured tobacco apparent region feature is proposed first, it is determined that background color, wax sense, glossiness, blade face tissue, pliability
Evaluation and alternative index Deng flue-cured tobacco apparent region feature, wherein background color and glossiness exist with tobacco leaf color perception directly closes
System, wax sense also exists with the power of the reflective degree in blade face to be associated.
At present, the tobacco leaf outward appearance place of production differentiates that the apparent region feature for relying primarily on expertise and summing up carries out subjectivity and sentenced
Fixed, this method is high to personnel specialty competency profiling, and judgment accuracy is difficult to ensure that.Chapter English etc. have studied based on LS-SVM's
The cured tobacco leaf place of production differentiates that it is the place of production to cured tobacco leaf using near-infrared spectrum technique combination least square method supporting vector machine
Differentiated.The problem of this method is present is that the condition of spectral detection is more harsh, can not be applied to quality of tobacco and precisely evaluate
In the mechanized classification assorting room of processing link.
The content of the invention
, can not be so as to solve existing method of discrimination it is an object of the invention to provide a kind of method of discrimination in the flue-cured tobacco place of production
The problem of being applied in the mechanized classification sorting of tobacco leaf.
To achieve the above object, the technical solution adopted in the present invention is：
A kind of method of discrimination in the flue-cured tobacco place of production, comprises the following steps：
1) front red green index, positive champac colour index, positive and negative luminance difference, the positive and negative whitness index of tobacco leaf are established
Difference, positive and negative total color difference, front whitness index, positive color saturation and the discrimination model in the flue-cured tobacco place of production；
2) the front red green index of detection tobacco leaf to be discriminated, positive champac colour index, positive and negative luminance difference, positive and negative colourless
Index difference, positive and negative total color difference, front whitness index, positive color saturation are spent, substitutes into the discrimination model that step 1) determines, it is determined that
The flue-cured tobacco place of production.
The method of discrimination in the flue-cured tobacco place of production provided by the invention, the front red green index filtered out, positive champac colour index,
The amount of color such as positive and negative luminance difference, positive and negative whitness index are poor, positive and negative total color difference, front whitness index, positive color saturation
Changing index and the flue-cured tobacco place of production has very strong dependency relation, by modeling method, can reflect different sources tobacco leaf well
Apparent region feature, so as to effectively identify the flue-cured tobacco place of production using the discrimination model of foundation.Above-mentioned color quantizing index can be with
Detected by the way that colour photometer is convenient, its detection process is simple, requirement to detection environment and sample is low, is precisely evaluated in quality of tobacco
With there is good application prospect in mechanized classification assorting room.
The position of tobacco leaf to be discriminated is without distinguishing, and in step 1), the discrimination model of different regions is as follows：
The eastern regions of the Yunnan Province：Y=-1161.9+14.0X1–261.6X3–76.0X4–166.8X5+0.30X6+47.0X7(1)；
Min Xi：Y=-1152.6+7.1X1–263.8X3–76.9X4–170.8X5+3.0X6+52.1X7(2)；
In Henan：Y=-1256.0+15.0X1–284.4X3–83.2X4–182.1X5+0.26X6+49.1X7(3)；
River southwest：Y=-1171.2+14.0X1–263.3X3–76.9X4–170.7X5+0.69X6+48.3X7(4)；
Xiang Nan：Y=-1185.3+13.8X1–275.8X3–81.9X4–176.4X5+1.75X6+49.4X7(5)；
In formula (1)~formula (5), X1For front red green index a*；X3For positive and negative luminance difference Δ L*；X4For positive and negative whiteness
Index difference Δ WI；X5For positive and negative total color difference Δ E*；X6For front whitness index；X7For positive color saturation C；
In step 2), the color detection index of tobacco leaf to be discriminated is substituted into formula (1)~formula (5) respectively, obtains different Y
Value, the place of production corresponding to maximum y value is the place of production of the tobacco leaf.
Positive and negative total color difference Δ E*=[(Δ L*)2+(Δa*)2+(Δb*)2]1/2, in formula, Δ a*Refer to for positive and negative red green
Number is poor；Δb*It is poor for positive and negative champac colour index.
In step 1), tobacco leaf to be discriminated is upper leaf, and the discrimination model of different regions is as follows：
The eastern regions of the Yunnan Province：Y=-6912.8-406.6X1+179.8X2–173.2X3–30.2X4–162.4X5(6)；
Min Xi：Y=-7335.3-429.3X1+187.1X2–167.0X3–26.6X4–167.4X5(7)；
In Henan：Y=-7090.4-411.6X1+182.4X2–187.5X3–35.0X4–174.3X5(8)；
River southwest：Y=-7052.0-411.5X1+182.1X2–168.5X3–29.4X4–164.0X5(9)；
Xiang Nan：Y=-6900.9-400.6X1+179.2X2–187.0X3–36.5X4–172.1X5(10)；
In formula (6)~formula (10), X1For front red green index a*；X2For positive champac colour index b*；X3It is bright for positive and negative
Spend poor Δ L*；X4For positive and negative whitness index difference Δ WI；X5For positive and negative total color difference Δ E*；
In step 2), the color detection index of tobacco leaf to be discriminated is substituted into formula (6)~formula (10) respectively, obtains different Y
Value, the place of production corresponding to maximum y value is the place of production of the tobacco leaf.
In above-mentioned color quantizing index, front red green index a*, positive champac colour index b*, front whitness index, front
Color saturation C can directly be extracted by colour photometer, positive and negative luminance difference Δ L*, positive and negative whitness index difference Δ WI, positive and negative it is total
Aberration Δ E*Can be by being obtained after the positive and negative colour index simple computation of tobacco leaf.Above-mentioned discrimination model is by successive Discrimination point
Analysis principle is modeled, and other modeling methods can also be used to establish correlation model and be applied in the place of production differentiation of tobacco leaf.
In step 2), when being detected to tobacco leaf to be discriminated, survey is symmetrically chosen at the middle part in tobacco leaf front and tobacco leaf reverse side
Amount point.The quantity of measurement point is at least 4.Measurement point is symmetrically chosen in the leaf central part of tobacco leaf positive and negative, can further reduce face
Chromogenic indicator error, further improve the accuracy of testing result.
The method of discrimination in the flue-cured tobacco place of production of the present invention, scanned, can conveniently realized roasting by the colour photometer of tobacco leaf positive and negative
The differentiation in the cigarette place of production, it can be efficiently applied in the mechanized classification assorting room of tobacco leaf.Each random cigarette of place of production different quality feature
Leaf sample the result shows, for privileged site (top) tobacco leaf, achievable 92.7% place of production accurately distinguishes, and does not differentiate between portion
Position (middle part or top) tobacco leaf, achievable 81.0% place of production accurately distinguish.
Embodiment
Embodiments of the present invention are described further with reference to specific embodiment.
The collection and preparation of tobacco leaf are as follows：
(1) tobacco leaf gathers：Gather and be not classified tobacco leaf after 5, China flue-cured tobacco main producing region is modulated, including the eastern regions of the Yunnan Province (Qujing of Yunnan),
(Henan Xuchang), river southwestern (Sichuan Liangshan District), Xiang Nan (Chenzhou, Hunan Province) in Min Xi (Sanming, Fujian Province), Henan, sampling sites are middle part
And top, each position 20kg, kind are local main breed.
(2) prepared by each producing region representativeness tobacco sample：For the accuracy and applicability of extensive verification method, with utmost
Various quality of tobacco class that each producing region is likely to occur are represented as principle, middle part and top not homogeneity are prepared by tobacco leaf grading expert
Measure class sample.
Embodiment 1
The method of discrimination in the flue-cured tobacco place of production of the present embodiment, the tobacco leaf position of tobacco leaf to be discriminated are including following without distinguishing
Step：
1) the color quantizing index of tobacco leaf and the discrimination model in the flue-cured tobacco place of production are established, the discrimination model of different regions is as follows：
The eastern regions of the Yunnan Province：Y=-1161.9+14.0X1–261.6X3–76.0X4–166.8X5+0.30X6+47.0X7(1)；
Min Xi：Y=-1152.6+7.1X1–263.8X3–76.9X4–170.8X5+3.0X6+52.1X7(2)；
In Henan：Y=-1256.0+15.0X1–284.4X3–83.2X4–182.1X5+0.26X6+49.1X7(3)；
River southwest：Y=-1171.2+14.0X1–263.3X3–76.9X4–170.7X5+0.69X6+48.3X7(4)；
Xiang Nan：Y=-1185.3+13.8X1–275.8X3–81.9X4–176.4X5+1.75X6+49.4X7(5)；
In formula (1)~formula (5), X1For front red green index a*；X3For positive and negative luminance difference Δ L*；X4For positive and negative whiteness
Index difference Δ WI；X5For positive and negative total color difference Δ E*；X6For front whitness index；X7For positive color saturation C；
2) Color-Eye 7000A type spectrophotometer quantitative determination tobacco leaf colors are utilized, each sample takes 10 representatives
Property tobacco leaf, symmetrically choose 4 measurement points from the leaf central part in every tobacco leaf front, reverse side, per measurement point automatic measurement 2 times after make even
Average, each each 20 measured values in sample positive and negative, its average value is taken to be surveyed as the obverse and reverse color of each sample respectively
Determine result；
Extract or the color quantizing index of each tobacco leaf of calculating is：It is front red green index, positive and negative luminance difference, positive and negative
Colourless degree index difference, positive and negative total color difference, front whitness index, positive color saturation, substitute into the differentiation mould of formula (1)~formula (5)
In type, different Y values are calculated, the place of production corresponding to maximum y value is the place of production of the tobacco sample.
The specific differentiation result of embodiment 1 is as shown in table 1.
The flue-cured tobacco place of production model the result of table 1 (does not differentiate between middle part and upper tobacco leaf)
On the premise of being determined without tobacco leaf position, accurately distinguishing for 5 place of production tobacco leaves average 81.0% can be achieved.
Embodiment 2
The method of discrimination in the flue-cured tobacco place of production of the present embodiment, tobacco leaf to be discriminated are upper leaf, are comprised the following steps：
1) the color quantizing index of tobacco leaf and the discrimination model in the flue-cured tobacco place of production are established, the discrimination model of different regions is as follows：
The eastern regions of the Yunnan Province：Y=-6912.8-406.6X1+179.8X2–173.2X3–30.2X4–162.4X5(6)；
Min Xi：Y=-7335.3-429.3X1+187.1X2–167.0X3–26.6X4–167.4X5(7)；
In Henan：Y=-7090.4-411.6X1+182.4X2–187.5X3–35.0X4–174.3X5(8)；
River southwest：Y=-7052.0-411.5X1+182.1X2–168.5X3–29.4X4–164.0X5(9)；
Xiang Nan：Y=-6900.9-400.6X1+179.2X2–187.0X3–36.5X4–172.1X5(10)；
In formula (6)~formula (10), X1For front red green index a*；X2For positive champac colour index b*；X3It is bright for positive and negative
Spend poor Δ L*；X4For positive and negative whitness index difference Δ WI；X5For positive and negative total color difference Δ E*；
2) Color-Eye 7000A type spectrophotometer quantitative determination tobacco leaf colors are utilized, each sample takes 10 representatives
Property tobacco leaf, symmetrically choose 4 measurement points from the leaf central part in every tobacco leaf front, reverse side, per measurement point automatic measurement 2 times after make even
Average, each each 20 measured values in sample positive and negative, its average value is taken to be surveyed as the obverse and reverse color of each sample respectively
Determine result；
Extract or the color quantizing index of each tobacco leaf of calculating is：Front red green index, positive champac colour index, just
Reverse side luminance difference, positive and negative whitness index are poor, positive and negative total color difference, substitute into the discrimination model of formula (6)~formula (10), calculate not
Same Y value, the place of production corresponding to maximum y value are the place of production of the tobacco sample.
The specific differentiation result of embodiment 2 is as shown in table 2.
The flue-cured tobacco place of production Model checking result (upper tobacco leaf) of table 2
For upper tobacco leaf, accurately distinguishing for 5 place of production tobacco leaves average 92.7% can be achieved.
Claims (5)
1. a kind of method of discrimination in the flue-cured tobacco place of production, it is characterised in that comprise the following steps：
Front red green index, positive champac colour index, positive and negative luminance difference, the positive and negative whitness index of 1) establishing tobacco leaf be poor,
Positive and negative total color difference, front whitness index, positive color saturation and the discrimination model in the flue-cured tobacco place of production；
2) the front red green index of detection tobacco leaf to be discriminated, positive champac colour index, positive and negative luminance difference, positive and negative whiteness refer to
Number is poor, positive and negative total color difference, front whitness index, positive color saturation, substitutes into the discrimination model that step 1) determines, determines flue-cured tobacco
The place of production.
2. the method for discrimination in the flue-cured tobacco place of production as claimed in claim 1, it is characterised in that in step 1), the differentiation of different regions
Model is as follows：
The eastern regions of the Yunnan Province：Y=-1161.9+14.0X1–261.6X3–76.0X4–166.8X5+0.30X6+47.0X7(1)；
Min Xi：Y=-1152.6+7.1X1–263.8X3–76.9X4–170.8X5+3.0X6+52.1X7(2)；
In Henan：Y=-1256.0+15.0X1–284.4X3–83.2X4–182.1X5+0.26X6+49.1X7(3)；
River southwest：Y=-1171.2+14.0X1–263.3X3–76.9X4–170.7X5+0.69X6+48.3X7(4)；
Xiang Nan：Y=-1185.3+13.8X1–275.8X3–81.9X4–176.4X5+1.75X6+49.4X7(5)；
In formula (1)~formula (5), X1For front red green index a*；X3For positive and negative luminance difference Δ L*；X4For positive and negative whitness index
Poor Δ WI；X5For positive and negative total color difference Δ E*；X6For front whitness index；X7For positive color saturation C；
In step 2), the color detection index of tobacco leaf to be discriminated is substituted into formula (1)~formula (5) respectively, obtains different Y values, most
The place of production corresponding to big Y value is the place of production of the tobacco leaf.
3. the method for discrimination in the flue-cured tobacco place of production as claimed in claim 1, it is characterised in that in step 1), tobacco leaf to be discriminated is upper
Portion's leaf, the discrimination model of different regions are as follows：
The eastern regions of the Yunnan Province：Y=-6912.8-406.6X1+179.8X2–173.2X3–30.2X4–162.4X5(6)；
Min Xi：Y=-7335.3-429.3X1+187.1X2–167.0X3–26.6X4–167.4X5(7)；
In Henan：Y=-7090.4-411.6X1+182.4X2–187.5X3–35.0X4–174.3X5(8)；
River southwest：Y=-7052.0-411.5X1+182.1X2–168.5X3–29.4X4–164.0X5(9)；
Xiang Nan：Y=-6900.9-400.6X1+179.2X2–187.0X3–36.5X4–172.1X5(10)；
In formula (6)~formula (10), X1For front red green index a*；X2For positive champac colour index b*；X3For positive and negative luminance difference
ΔL*；X4For positive and negative whitness index difference Δ WI；X5For positive and negative total color difference Δ E*；
In step 2), the color detection index of tobacco leaf to be discriminated is substituted into formula (6)~formula (10) respectively, obtains different Y values, most
The place of production corresponding to big Y value is the place of production of the tobacco leaf.
4. the method for discrimination in the flue-cured tobacco place of production as described in any one of claims 1 to 3, it is characterised in that in step 2), treat and sentence
When other tobacco leaf is detected, measurement point is symmetrically chosen at the middle part in tobacco leaf front and tobacco leaf reverse side.
5. the method for discrimination in the flue-cured tobacco place of production as claimed in claim 4, it is characterised in that the quantity of measurement point is at least 4.
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| CN109374574A (en) * | 2018-12-20 | 2019-02-22 | 中国烟草总公司郑州烟草研究院 | A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information |
| CN110646425A (en) * | 2019-09-12 | 2020-01-03 | 厦门中软海晟信息技术有限公司 | Tobacco leaf online auxiliary grading method and system |
| CN110736718A (en) * | 2019-10-16 | 2020-01-31 | 浙江中烟工业有限责任公司 | Method for identifying producing area and grade of flue-cured tobacco shreds |
| CN112285032A (en) * | 2020-10-19 | 2021-01-29 | 南京中医药大学 | Method for rapidly identifying different primitive zedoary |
| CN113298341A (en) * | 2021-03-01 | 2021-08-24 | 中国烟草总公司郑州烟草研究院 | Method for forecasting appearance color depth of flue-cured tobacco leaves |
| CN113945563A (en) * | 2021-10-19 | 2022-01-18 | 中国烟草总公司湖北省公司 | Method for evaluating quality uniformity of cigar wrapper tobacco leaves |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109374574A (en) * | 2018-12-20 | 2019-02-22 | 中国烟草总公司郑州烟草研究院 | A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information |
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| CN112285032A (en) * | 2020-10-19 | 2021-01-29 | 南京中医药大学 | Method for rapidly identifying different primitive zedoary |
| CN113298341A (en) * | 2021-03-01 | 2021-08-24 | 中国烟草总公司郑州烟草研究院 | Method for forecasting appearance color depth of flue-cured tobacco leaves |
| CN113945563A (en) * | 2021-10-19 | 2022-01-18 | 中国烟草总公司湖北省公司 | Method for evaluating quality uniformity of cigar wrapper tobacco leaves |
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