Tobacco sample preparation and image acquisition method

Abstract

The invention discloses a tobacco leaf sample preparation and image acquisition method, and relates to the technical field of tobacco leaf image acquisition. Comprising the following steps: classifying and sorting tobacco leaves, and distinguishing and collecting tobacco leaves of the same variety; according to the tobacco leaf grading standard, tobacco leaves with various quality factors meeting regulations are selected; placing the representative tobacco leaves in a constant-temperature and constant-humidity environment, and performing tobacco leaf moisture regaining treatment; a customized paperboard or a special tool is used for unfolding and flatly laying the tobacco leaves after moisture regaining, and the tobacco leaves are pressed; transferring the pressed tobacco leaves to a professional image collector for tobacco leaf image collection; and naming the tobacco leaf image according to a unified naming rule, establishing an image database, and storing and managing the acquired image data. According to the method, the appearance images of the tobacco leaves can be better collected, and more objective support is provided for tobacco leaf grading.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco leaf image acquisition, and in particular to a tobacco leaf sample preparation and image acquisition method. Background Art

[0002] Tobacco cultivation has a long history, and various local tobacco varieties have been formed in various places. These varieties have their own advantages in terms of growth environment, cultivation technology, and tobacco quality. Yunnan tobacco: represented by Yunyan, has the characteristics of strong aroma and mellow taste; Hunan tobacco: such as Furongwang and Hongjinlong, are famous for their unique aroma and taste; Sichuan tobacco: such as Panda and Yellow Crane Tower, are also known for their aroma and taste; tobacco from other regions: such as tobacco varieties in Henan, Hubei, Shaanxi, etc., each has its own unique quality characteristics.

[0003] There are many varieties of tobacco leaves, each with its own unique growth habits, appearance characteristics and intrinsic qualities. In the process of tobacco planting and processing, choosing the right tobacco leaf variety is crucial to improving the quality and market competitiveness of tobacco products. However, there is no unified standard for the standardized grading of tobacco leaf varieties, because different countries and regions and different tobacco companies may grade them according to their own needs and standards.

[0004] The image acquisition of tobacco leaves affects the subsequent image processing and feature extraction. However, there is no precise description of the sample preparation and methods in the early stage of tobacco leaf scanning.

[0005] Therefore, it is an urgent problem for those skilled in the art to propose a tobacco leaf sample preparation and image acquisition method to solve the difficulties existing in the prior art. Summary of the invention

[0006] In view of this, the present invention provides a tobacco leaf sample preparation and image acquisition method. According to the unique quality characteristics of different varieties of tobacco leaves, the tobacco leaves are divided by quality according to certain standards. After highly standardized tobacco leaves of different varieties and different leaf positions are selected, the tobacco leaves are flatly spread out and pressed into scannable samples with customized cardboard. The tobacco leaves are scanned using a tobacco leaf image collector, which can better collect tobacco leaf appearance images and provide more objective support for tobacco leaf grading.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] A tobacco leaf sample preparation and image acquisition method, comprising:

[0009] S1. Tobacco leaf classification and sorting, distinguishing and collecting tobacco leaves of the same variety;

[0010] S2. According to the tobacco leaf grading standards, select tobacco leaves that meet the requirements in terms of quality factors;

[0011] S3, placing representative tobacco leaves in a constant temperature and humidity environment to perform a moisture conditioning treatment on the tobacco leaves;

[0012] S4. Use customized cardboard or special tools to unfold and lay the moistened tobacco leaves flat to press the tobacco leaves;

[0013] S5, transferring the pressed tobacco leaves to a professional image collector to collect tobacco leaf images;

[0014] S6. Name the tobacco leaf images according to a unified naming rule, establish an image database, and store and manage the collected image data.

[0015] In the above method, optionally, in S1, the tobacco leaves of the same variety collected are all from the same leaf position, and tobacco leaves with damage, disease spots or insect pests are removed.

[0016] In the above method, optionally, in S2, the quality factors in the tobacco leaf grading standard include: color, size, thickness, maturity, and green content.

[0017] In the above method, optionally, in S3, a constant temperature and humidity environment is set, the temperature is set to 21° C., the humidity is set to 70%, and the rehumidification time is set according to actual needs to ensure that the tobacco leaves are fully rehumidified.

[0018] In the above method, optionally, in S4, the tobacco leaves are pressed for more than 12 hours to ensure that the tobacco leaves are completely flat.

[0019] In the above method, optionally, in S5, the light and focal length of the image collector are adjusted to collect a clear, shadow-free tobacco leaf image.

[0020] In the above method, optionally, in S6, the unified naming rule is: region-variety-leaf position-number of repetitions-number.

[0021] It can be seen from the above technical solution that, compared with the prior art, the present invention provides a tobacco leaf sample preparation and image acquisition method, which has the following beneficial effects: the present invention can effectively collect and process tobacco leaf samples, and obtain high-quality image data, laying a solid foundation for subsequent analysis and evaluation work; through image acquisition technology, it can achieve rapid and accurate identification and analysis of tobacco leaf appearance characteristics, provide strong technical support for tobacco production and processing, and provide a scientific basis for tobacco leaf grading and quality evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0023] Figure 1 A flowchart of a tobacco leaf sample preparation and image acquisition method provided by the present invention;

[0024] Figure 2 A schematic diagram of a tobacco leaf sample preparation and image acquisition method provided by the present invention;

[0025] Figure 3 A tobacco leaf sample image obtained by a tobacco leaf sample preparation and image acquisition method provided by the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprise one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0028] Reference Figure 1 As shown, the present invention discloses a tobacco leaf sample preparation and image acquisition method, comprising:

[0029] A tobacco leaf sample preparation and image acquisition method, comprising:

[0030] S1. Tobacco leaf classification and sorting, distinguishing and collecting tobacco leaves of the same variety;

[0031] S2. According to the tobacco leaf grading standards, select tobacco leaves that meet the requirements in terms of quality factors;

[0032] S3, placing representative tobacco leaves in a constant temperature and humidity environment to perform a moisture conditioning treatment on the tobacco leaves;

[0033] S4. Use customized cardboard or special tools to unfold and lay the moistened tobacco leaves flat to press the tobacco leaves;

[0034] S5, transferring the pressed tobacco leaves to a professional image collector to collect tobacco leaf images;

[0035] S6. Name the tobacco leaf images according to a unified naming rule, establish an image database, and store and manage the collected image data.

[0036] Furthermore, in S1, the tobacco leaves of the same variety collected are all from the same leaf position, and tobacco leaves with damage, disease spots or insect pests are removed.

[0037] Furthermore, in S2, the quality factors in the tobacco leaf grading standards include: color, size, thickness, maturity, and green content;

[0038] Standardized grading of tobacco leaves is an important part of tobacco processing. Generally speaking, the grading of tobacco leaves is mainly based on factors such as their growth position, appearance characteristics, chemical composition and physical properties.

[0039] Taking flue-cured tobacco as an example, its grading is usually carried out according to the part (lower, middle, upper) and quality characteristics (such as color, gloss, oil content, leaf structure, etc.). The specific grading standards may vary from country to country, but most of them follow certain national standards or industry standards.

[0040] During the grading process, tobacco leaves are divided into different grades to facilitate purchase and sale according to quality and grade. It also makes it easier for cigarette companies to choose appropriate raw materials according to product needs. This grading system helps to ensure the quality and stability of tobacco products.

[0041] Tobacco leaf grading is based on many factors such as the appearance quality, internal quality and market demand of the tobacco leaves. The grading standards usually include: maturity of the tobacco leaves, leaf structure, green content, oil content, color, length, damage and other factors. Taking flue-cured tobacco as an example, tobacco leaves are usually divided into three categories: high-quality tobacco, medium-quality tobacco and low-quality tobacco, and each category contains multiple specific grades.

[0042] Furthermore, in S3, a constant temperature and humidity environment is set, the temperature is set to 21°C, the humidity is set to 70%, and the rehumidification time is set according to actual needs to ensure that the tobacco leaves are fully rehumidified.

[0043] Further, in S4, refer to Figure 2As shown, the tobacco leaves are pressed for more than 12 hours to ensure that the leaves are completely flat;

[0044] Tobacco leaf flaking is not a routine step in tobacco leaf processing. However, in certain specific fields or research projects, tobacco leaves need to be flaked. Tobacco leaf flaking mainly refers to pressing tobacco leaves into thin slices by mechanical or physical means to facilitate subsequent analysis, research or application. For example, in the process of tobacco flake manufacturing, tobacco leaf flaking is involved, which is not a pressing step that all tobacco leaves will undergo.

[0045] Further, see Figure 3 As shown, in S5, the light and focal length of the image collector are adjusted to collect a clear, shadow-free tobacco leaf image;

[0046] Tobacco leaf image acquisition is an important technical means in the modern tobacco industry. With the rapid development of computer technology and image processing technology, tobacco leaf image acquisition technology has been widely used in the tobacco industry. Digital image technology and machine vision technology are used to capture and record the appearance characteristics of tobacco leaves with high precision.

[0047] Tobacco leaf image acquisition usually includes: light source, camera, image acquisition card, image processing software and other components. During the acquisition process, it is necessary to strictly control factors such as the lighting conditions of the shooting environment and the shooting parameters of the camera to ensure that the quality of the acquired image meets the needs of subsequent analysis and processing.

[0048] Furthermore, in S6, the unified naming rule is: region-variety-leaf position-number of repetitions-number;

[0049] For example: "Yunnan-Hongda-10th leaf-1st repeat-001".

[0050] In a specific embodiment, the Southeast Tobacco Leaf Sample Center of China National Tobacco Corporation Hunan Province Company adopted this process to process and analyze tobacco leaf samples. First, it ensured that all staff involved in classification and sorting were trained and understood and followed the unified classification standards and operating specifications:

[0051] The southeastern region of Hunan Province has specific tobacco varieties and planting habits. When classifying and sorting, attention was paid to the unique varieties and leaf position characteristics of the region. Take the tobacco variety K326 as an example:

[0052] Experienced tobacco graders and agricultural experts were invited to participate in the sample selection process to ensure the representativeness of the selected samples; a strict quality control mechanism was established to review the selected samples to ensure accuracy;

[0053] The climatic conditions in the southeastern region of Hunan Province may affect the optimal temperature and humidity settings for conditioning treatment. Therefore, the Southeast Tobacco Leaf Sample Center of Hunan Branch of China National Tobacco Corporation adjusted the parameters of the constant temperature and humidity system according to the actual situation.

[0054] Ensure that the time required for tobacco leaves to reach the optimal moisture recovery state in a constant temperature and humidity environment is neither too long nor too short;

[0055] Design or purchase customized paperboard or pressing tools suitable for the characteristics of tobacco leaves in the region to improve the pressing effect. The Southeast Tobacco Leaf Sample Center of China National Tobacco Corporation Hunan Province Company uses double-layer paperboard shells for pressing. Appropriate pressure is applied to avoid damaging the tobacco leaves so that the tobacco leaves can be shaped during the pressing process;

[0056] Regularly check the condition of the tobacco leaves during the pressing process and record relevant information for subsequent analysis;

[0057] Select a high-resolution scanner suitable for tobacco leaf image acquisition to ensure image quality, and adjust the lighting intensity and angle according to the color and texture characteristics of the tobacco leaves to obtain the best imaging effect;

[0058] The scanned images were named as: Hunan-Liuyang-12th leaf-1st repetition-001, and a secure image database was established to store and manage the collected image data according to the naming rules.

[0059] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0060] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A tobacco leaf sample preparation and image acquisition method, characterized in that: include: S1. Tobacco leaf classification and sorting, distinguishing and collecting tobacco leaves of the same variety; S2. According to the tobacco leaf grading standards, select tobacco leaves that meet the requirements in terms of quality factors; S3, placing representative tobacco leaves in a constant temperature and humidity environment to perform a moisture conditioning treatment on the tobacco leaves; S4. Use customized cardboard or special tools to unfold and lay the moistened tobacco leaves flat to press the tobacco leaves; S5, transferring the pressed tobacco leaves to a professional image collector to collect tobacco leaf images; S6. Name the tobacco leaf images according to a unified naming rule, establish an image database, and store and manage the collected image data.

2. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S1, tobacco leaves of the same variety were collected from the same leaf position, and tobacco leaves with damage, disease spots or insect pests were removed.

3. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S2, the quality factors in the tobacco leaf grading standards include: color, size, thickness, maturity, and green content.

4. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S3, a constant temperature and humidity environment is used, with the temperature set to 21°C and the humidity set to 70%. The rehumidification time is set according to actual needs to ensure that the tobacco leaves are fully rehumidified.

5. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S4, the tobacco leaves are pressed for more than 12 hours to ensure that the tobacco leaves are completely flat.

6. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S5, the light and focal length of the image collector are adjusted to collect a clear, shadow-free tobacco leaf image.

7. The method for preparing tobacco leaf samples and collecting images according to claim 1, characterized in that: In S6, the unified naming rule is: region-variety-leaf position-number of repetitions-number.

Images