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A method for automatic recognition of green tendon smoke on first-cured tobacco leaves and a detection and alarm system for green tendon smoke
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A technology of automatic identification and blue veins, applied in the field of image processing, can solve the problems of insufficient aroma, insufficient decomposition and transformation, heavy green variegated color, etc., and achieve the effect of uniform illumination and good recognition effect
Active Publication Date: 2019-11-05
山东浪潮新科信息技术有限公司
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Problems solved by technology
Green tendon tobacco leaves not only indicate that the chlorophyll in the leaf veins is not fully degraded during the baking process, but also means that the starch, protein and other substances in the leaf are insufficiently decomposed and transformed, with less internal oil content, poor elasticity, uncoordinated internal chemical components, and heavy green variegation. Insufficient aroma, the internal and external quality of the leaves are very poor, which has a great impact on the quality of industrial cigarette products and is also very bad
At present, the recognition of blue tendon smoke is detected by manual viewing, but manual detection has the influence of visual fatigue and human subjective factors.
Method used
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Embodiment 1
[0040] A typical embodiment of the present invention discloses a method for automatic identification of green tendon tobacco leaves of first-cured tobacco leaves, such as figure 1 shown, including the following steps:
[0041] Step 1: collecting images of tobacco leaves to be tested;
[0042] In this embodiment, lighting and imaging equipment is used to collect images of tobacco leaves to be tested. The lighting and imaging equipment meets the following requirements: standard light sources are used to simulate natural light lighting, color temperature: 5500-6000k, illuminance: natural scattered light 3000-10000Lx, artificially simulated natural light 2000±200Lx ; The color of the work surface where the tobacco leaves are placed is gray or white, without obvious reflection; the imaging device uses a 16-megapixel network camera with high color reproduction, and the camera is installed directly above the viewing area, 0.8-1 meter away from the work surface.
[0043] Step 2: Conv...
Embodiment 2
[0083] The purpose of this embodiment is to provide a blue tendon smoke detection and alarm system using the method described in the first embodiment.
[0084] The blue tendon smoke detection and alarm system, such as figure 2 As shown, including: lighting device, workbench, imaging device, server and grading equipment.
[0085] The lighting device adopts standard light source, artificially simulated natural light illumination, color temperature: 5500-6000k, illuminance: natural scattered light 3000-10000Lx, artificially simulated natural light 2000±200Lx;
[0086] The workbench is used to place the tobacco leaves to be tested, and the color of the workbench is gray without obvious reflection. Spread the tobacco leaves as thin as possible in the shooting area delimited by the working surface;
[0087] The imaging device adopts a 16-megapixel network camera with high color reproduction degree. The camera is installed directly above the workbench, and shoots vertically downwa...
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Abstract
The invention discloses an automatic identification method for primary flue-cured tobacco green tobacco and a green tobacco detection alarm system, and the method comprises the steps: collecting a to-be-detected tobacco image; dividing the tobacco leaf image to be detected into a plurality of image blocks with the same size; for each image block, identifying all pixels falling into a characteristic threshold interval according to the characteristic threshold interval of the green vein; carrying out continuity detection on the identified pixels; if continuous pixels exist and the number of thecontinuous pixels exceeds a certain threshold value, judging that green veins exist in the image block; and judging whether green veins exist in the tobacco leaf image to be detected or not accordingto the identification results of the green veins of all the image blocks. The method can automatically identify whether the initially-baked tobacco leaves contain green veins, and green veins are detected and alarmed in the tobacco leaf purchasing link.
Description
technical field [0001] The invention relates to the technical field of image processing, and in particular to an automatic identification method for green tendon smoke of freshly cured tobacco leaves and a detection and alarm system for green tendon smoke. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Yellow slices and yellow tendons are the basic requirements of high-quality tobacco leaves, but in the production of tobacco leaves, especially the phenomenon of green veins (blue tendons) in the upper tobacco leaves after initial roasting is more common. Green tendon tobacco leaves not only indicate that the chlorophyll in the leaf veins is not fully degraded during the baking process, but also means that the starch, protein and other substances in the leaf are insufficiently decomposed and transformed, with less internal oil content, poo...
Claims
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