CN103976468A - Tobacco leaf grading method - Google Patents

Tobacco leaf grading method Download PDF

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Publication number
CN103976468A
CN103976468A CN201410176953.3A CN201410176953A CN103976468A CN 103976468 A CN103976468 A CN 103976468A CN 201410176953 A CN201410176953 A CN 201410176953A CN 103976468 A CN103976468 A CN 103976468A
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China
Prior art keywords
tobacco leaf
grading
grade
tobacco
computer
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CN201410176953.3A
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Chinese (zh)
Inventor
姬江涛
邓明俐
何亚凯
贾世通
李富欣
贺智涛
杜新武
郑治华
杜蒙蒙
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Henan University of Science and Technology
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Henan University of Science and Technology
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Priority to CN201410176953.3A priority Critical patent/CN103976468A/en
Publication of CN103976468A publication Critical patent/CN103976468A/en
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Abstract

A tobacco leaf grading method includes the following steps: (1) creation of a tobacco leaf grading standard database; (2) grading of tobacco leaves. The grading method adopted by the invention can quickly and effectively grade tobacco leaves, decrease labor intensity, reduce labor cost and increase grading precision and grading quality. Because the standard tobacco leaf feature database is created in grading, the feature data of tobacco leaves can be conveniently compared, so that the grades of tobacco leaves can be determined. Because the Visual C++6.0 technique is used, a programming software program can be effectively utilized to analyze and identify the individual features of tobacco leaves, so that tobacco leaves can be graded. Because the OPENCV function library is called in Visual C++6.0 programming, the complexity of the program is decreased, the running speed of the program is increased, and thereby the tobacco leaf grading speed is increased. In addition, the adoption of the sequential comparison method decreases the probability of errors in grading and increases the precision and accuracy of grading.

Description

A kind of tobacco leaf grading method
Technical field
The present invention relates to a kind of stage division, especially relate to a kind of tobacco leaf grading method.
Background technology
Tobacco is a kind of important industrial crops, very extensive in the cultivated area of China, and closely related with people's life.Wherein tobacco leaf is the important raw and processed materials of China's Cigarette Manufacturing Industry, occupies very large proportion in the national economy of China, and therefore we must improve constantly the economic worth of tobacco leaf.
Owing to being subject to different geographical weather, environment, soil and kind, inserted part, the impact of plant measure and baking process, the mass discrepancy of tobacco leaf is very large, therefore we must carry out necessary classification to tobacco leaf, determine the different quality grade of tobacco leaf, divide with class, determine the price with matter, make rational use of resources, to adapt to the demand of agricultural and economic development.In China, the tobacco leaf of same producing region and kind is mainly judged and classification by aspects such as its maturity, identity, oil content, blade construction, colourity, length and residual wounds.For a long time, quality testing and the classification of China's tobacco business to cured tobacco leaf all judged with people's organoleptic detection result and expertise.Along with to the improving constantly of tobacco product quality requirement, China starts to promote 42 grades of new standards, but the manual grading skill mode efficiency of this organoleptic detection and subjective assessment is low, labour intensity is large, and labor intensive is many, and is easily subject to the impact of artificial subjective factor, effectiveness of classification is low, and classification is of poor quality.
Summary of the invention
The object of the invention is for solving manual grading skill tobacco leaf labour intensity large, the low problem of effectiveness of classification simultaneously, a kind of tobacco leaf grading method is provided, the stage division that the present invention adopts can carry out classification to tobacco leaf quickly and efficiently, reduce artificial intensity, reduce labour cost, improved effectiveness of classification and classification quality.In classification, Criterion tobacco leaf property data base, has facilitated tobacco leaf has been carried out to characteristic contrast, thereby determines its grade.Use Visual C++6.0 technology, effectively utilize programming software program indivedual features of tobacco leaf are analyzed and distinguished, thereby tobacco leaf is carried out to classification.In Visual C++6.0 programming, call OPENCV function library, reduced the complexity of program, improved the speed of service of program, thereby improved the hierarchical speed of tobacco leaf.Adopt in addition this method of contrast successively, reduced the wrong possibility occurring in classification, improved accuracy and the accuracy of classification.
The present invention is the deficiency solving the problems of the technologies described above, and the technical scheme adopting is:
A kind of tobacco leaf grading method, comprises the following steps:
One, create tobacco leaf grading standard database;
1., collect the tobacco leaf of various criterion grade, then the tobacco leaf of each standard class is taken pictures and digital picture is input in computer;
2., by computer, the tobacco leaf image of each standard class is processed and is analyzed, and extract the characteristic parameter of tobacco leaf;
3., the characteristic parameter of each standard class tobacco leaf extracting is stored in the tobacco leaf grading standard database of foundation in corresponding tables of data, form a complete tobacco leaf grading standard database;
Two, tobacco leaf grading processing;
1., gather the pictorial information of tobacco leaf to be detected and be input in computer;
2., by computer, tobacco leaf picture is carried out to pretreatment, and further extract tobacco leaf characteristic parameter;
3., computer visual image processed to hierarchy system be connected to tobacco leaf grading standard database, and according to this with database in the tobacco leaf main characteristic parameters of each various criterion grade contrast, determine whether tobacco leaf belongs to this grade;
4., determine after tobacco leaf grade to be detected, send graded signal in PLC control system, by PLC control system, tobacco leaf to be detected is delivered in the collection basket of corresponding grade.
PLC control system described in step 2 is the PLC control system of corresponding tobacco leaf sorter.
The invention has the beneficial effects as follows: the stage division that the present invention adopts can carry out classification to tobacco leaf quickly and efficiently, reduces artificial intensity, reduce labour cost, improved effectiveness of classification and classification quality.In classification, Criterion tobacco leaf property data base, has facilitated tobacco leaf has been carried out to characteristic contrast, thereby determines its grade.Use Visual C++6.0 technology, effectively utilize programming software program indivedual features of tobacco leaf are analyzed and distinguished, thereby tobacco leaf is carried out to classification.In Visual C++6.0 programming, call OPENCV function library, reduced the complexity of program, improved the speed of service of program, thereby improved the hierarchical speed of tobacco leaf.Adopt in addition this method of contrast successively, reduced the wrong possibility occurring in classification, improved accuracy and the accuracy of classification.
Brief description of the drawings
Fig. 1 is the FB(flow block) of stage division in the present invention.
Detailed description of the invention
Shown in figure, detailed description of the invention is as follows:
A kind of tobacco leaf grading method, comprises the following steps:
One, create tobacco leaf grading standard database;
1., collect the tobacco leaf of various criterion grade, then the tobacco leaf of each standard class is taken pictures and digital picture is input in computer;
2., by computer, the tobacco leaf image of each standard class is processed and is analyzed, and extract the characteristic parameter of tobacco leaf;
3., the characteristic parameter of each standard class tobacco leaf extracting is stored in the tobacco leaf grading standard database of foundation in corresponding tables of data, form a complete tobacco leaf grading standard database;
Two, tobacco leaf grading processing;
1., gather the pictorial information of tobacco leaf to be detected and be input in computer;
2., by computer, tobacco leaf picture is carried out to pretreatment, and further extract tobacco leaf characteristic parameter;
3., computer visual image processed to hierarchy system be connected to tobacco leaf grading standard database, and according to this with database in the tobacco leaf main characteristic parameters of each various criterion grade contrast, determine whether tobacco leaf belongs to this grade;
4., determine after tobacco leaf grade to be detected, send graded signal in PLC control system, by PLC control system, tobacco leaf to be detected is delivered in the collection basket of corresponding grade.
PLC control system described in step 2 is the PLC control system of corresponding tobacco leaf sorter.
When concrete use this method, need to adopt computer visual image treatment system, this system is a kind for the treatment of system constituting according to computer vision and image processing techniques.
One, create tobacco leaf grading standard database;
1., collect the tobacco leaf of various criterion grade, then the tobacco leaf of each standard class is taken pictures and digital picture is input in computer visual image treatment system;
2., by computer visual image treatment system, the tobacco leaf image of each standard class is processed and is analyzed, and extract the characteristic parameter of tobacco leaf;
3., the characteristic parameter of each standard class tobacco leaf extracting is stored in the tobacco leaf grading standard database of foundation in corresponding tables of data, form a complete tobacco leaf grading standard database;
Two, tobacco leaf grading processing;
1., gather the pictorial information of tobacco leaf to be detected and be input in computer visual image processing hierarchy system;
2., process hierarchy system by computer visual image tobacco leaf picture carried out to pretreatment, and further extract tobacco leaf characteristic parameter;
3., computer visual image processed to hierarchy system be connected to tobacco leaf grading standard database, and according to this with database in the tobacco leaf main characteristic parameters of each various criterion grade contrast, determine whether tobacco leaf belongs to this grade;
4., determine after tobacco leaf grade to be detected, send graded signal in PLC control system, by PLC control system, tobacco leaf to be detected is delivered in the collection basket of corresponding grade.
PLC control system described in step 2 is the PLC control system of corresponding tobacco leaf sorter.
A kind of tobacco leaf grading method, comprises the following steps:
One, create tobacco leaf grading standard database;
1., collect the tobacco leaf of various criterion grade, then the tobacco leaf of each standard class is taken pictures and digital picture is input in computer visual image treatment system;
2., by computer visual image treatment system, the tobacco leaf image of each standard class is processed and is analyzed, and go out the characteristic parameters such as color, shape and the blade construction of tobacco leaf by formulas Extraction;
3., by extract the characteristic parameter such as color, shape and blade construction of each standard class tobacco leaf, store in the tobacco leaf grading standard database that SQL Server 2008 sets up in corresponding tables of data, form a complete tobacco leaf grading standard database;
Two, tobacco leaf grading processing;
1., gather the pictorial information of tobacco leaf to be detected and be input in computer visual image processing hierarchy system;
2., process hierarchy system by computer visual image and utilize VC++6.0 programming software to call OPENCV function library tobacco leaf picture is carried out to pretreatment, and further extract the characteristic parameters such as color, shape and the blade construction of tobacco leaf;
3., receive tobacco leaf grading standard database by the ADO technical battery of VC++6.0, and according to this with database in the tobacco leaf main characteristic parameters of each various criterion grade contrast, determine whether tobacco leaf belongs to this grade;
4., determine after tobacco leaf grade to be detected, send graded signal in PLC control system.
Formula described in step 1 is OPENCV function.
PLC control system described in step 2 is the PLC control system of corresponding tobacco leaf sorter.
This patent is mainly to provide a kind of computer visual image for tobacco leaf in same group of areal and processes stage division.The method is mainly utilized computer, VC++6.0 software, OPENCV, SQL Server 2008 databases, mainly for features such as color, shape and the blade constructions of tobacco leaf.The main flow process of its classification comprises following process:
(1) utilize SQL Server 2008 to set up a tobacco leaf grading standard database.This database mainly comprises the major parameter of the features such as color, shape and the blade construction of tobacco leaf.
(2) tobacco leaf of collection various criterion grade, afterwards the digital picture taking is input in computer visual image processing hierarchy system and carries out image processing and analysis, go out the characteristic parameters such as color, shape and the blade construction of tobacco leaf according to specific formulas Extraction, store in the tobacco leaf grading standard database that SQL Server 2008 sets up in corresponding tables of data, form a complete tobacco leaf grading standard database.
(3) start to carry out tobacco leaf grading.Its concrete classification process is as shown in Figure 1: 1. the cured tobacco leaf picture collecting is transferred to computer visual image and processes in hierarchy system; 2. utilize VC++6.0 programming software to call OPENCV function library tobacco leaf picture is carried out to pretreatment, and further extract the characteristic parameters such as color, shape and the blade construction of tobacco leaf; 3. receive tobacco leaf grading standard database by the ADO technical battery of VC++6.0, contrast successively the span of the tobacco leaf main characteristic parameters of each various criterion grade, determine whether tobacco leaf belongs to this grade; 4. determine after the grade of tobacco leaf, send graded signal in PLC control system, PLC control system is herein the control system of tobacco leaf sorter, in tobacco leaf sorter, after having contrasted in tobacco leaf and database, the motor corresponding by PLC control system control sorter enters tobacco leaf sorting in corresponding grade basket.
The technical scheme that the present invention is cited and embodiment are not restrictions, in the cited technical scheme of the present invention and embodiment is equal to or effect same approach is all protected in the present invention scope.

Claims (2)

1. a tobacco leaf grading method, is characterized in that: comprise the following steps:
One, create tobacco leaf grading standard database;
1., collect the tobacco leaf of various criterion grade, then the tobacco leaf of each standard class is taken pictures and digital picture is input in computer;
2., by computer, the tobacco leaf image of each standard class is processed and is analyzed, and extract the characteristic parameter of tobacco leaf;
3., the characteristic parameter of each standard class tobacco leaf extracting is stored in the tobacco leaf grading standard database of foundation in corresponding tables of data, form a complete tobacco leaf grading standard database;
Two, tobacco leaf grading processing;
1., gather the pictorial information of tobacco leaf to be detected and be input in computer;
2., by computer, tobacco leaf picture is carried out to pretreatment, and further extract tobacco leaf characteristic parameter;
3., computer visual image processed to hierarchy system be connected to tobacco leaf grading standard database, and according to this with database in the tobacco leaf main characteristic parameters of each various criterion grade contrast, determine whether tobacco leaf belongs to this grade;
4., determine after tobacco leaf grade to be detected, send graded signal in PLC control system, by PLC control system, tobacco leaf to be detected is delivered in the collection basket of corresponding grade.
2. a kind of tobacco leaf grading method according to claim 1, is characterized in that: the PLC control system described in step 2 is the PLC control system of corresponding tobacco leaf sorter.
CN201410176953.3A 2014-04-30 2014-04-30 Tobacco leaf grading method Pending CN103976468A (en)

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Cited By (7)

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Publication number Priority date Publication date Assignee Title
CN104198457A (en) * 2014-09-04 2014-12-10 国家烟草质量监督检验中心 Cut tobacco component recognition method based on spectral imaging technology
CN104198491A (en) * 2014-09-04 2014-12-10 国家烟草质量监督检验中心 Computer vision-based method for measuring proportion of expanded cut leaves in cut tobacco
CN104215636A (en) * 2014-09-15 2014-12-17 河南科技大学 Closed tobacco leaf image acquisition device
CN105242568A (en) * 2015-10-09 2016-01-13 东南大学 Tobacco leaf accurate rejecting control method based on digital image processing
CN105678759A (en) * 2016-01-04 2016-06-15 上海信洁照明科技有限公司 Digitalization inspection method for raw cotton rolling apparent quality
CN106343607A (en) * 2016-11-04 2017-01-25 郑州大学 Tobacco leaf grading method and device based on FPGA (field programmable gate array)
CN112369643A (en) * 2020-12-05 2021-02-19 云南省烟草农业科学研究院 Baking method based on standard strain tobacco leaf baking characteristics

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104198457A (en) * 2014-09-04 2014-12-10 国家烟草质量监督检验中心 Cut tobacco component recognition method based on spectral imaging technology
CN104198491A (en) * 2014-09-04 2014-12-10 国家烟草质量监督检验中心 Computer vision-based method for measuring proportion of expanded cut leaves in cut tobacco
CN104215636A (en) * 2014-09-15 2014-12-17 河南科技大学 Closed tobacco leaf image acquisition device
CN104215636B (en) * 2014-09-15 2016-07-27 河南科技大学 A kind of closed tobacco leaf image harvester
CN105242568A (en) * 2015-10-09 2016-01-13 东南大学 Tobacco leaf accurate rejecting control method based on digital image processing
CN105242568B (en) * 2015-10-09 2018-02-13 东南大学 Tobacco leaf based on Digital Image Processing accurately rejects control method
CN105678759A (en) * 2016-01-04 2016-06-15 上海信洁照明科技有限公司 Digitalization inspection method for raw cotton rolling apparent quality
CN105678759B (en) * 2016-01-04 2019-01-11 上海信洁照明科技有限公司 Raw cotton rolls the digitlization method of inspection of work apparent mass
CN106343607A (en) * 2016-11-04 2017-01-25 郑州大学 Tobacco leaf grading method and device based on FPGA (field programmable gate array)
CN112369643A (en) * 2020-12-05 2021-02-19 云南省烟草农业科学研究院 Baking method based on standard strain tobacco leaf baking characteristics

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Application publication date: 20140813