Tobacco leaf primary baking green and yellow ratio extraction method

Abstract

The invention discloses a tobacco leaf primary baking green-yellow ratio extraction method, which comprises the following steps of: acquiring a fresh tobacco leaf image of a baking room, reading the image, converting image data into an RGB (Red, Green, Blue) color space, and obtaining an image RGB channel pixel value; setting a threshold value based on the difference value of the pixel values of the R channel and the G channel to set the background part except the tobacco leaf in the image to be white to obtain an image which takes white as the background and only represents the tobacco leaf, then converting the image into an HSV color space value for representing, and setting a threshold value for the pixel value of the H channel to obtain the number of pixel points of the yellow part of the tobacco leaf; and finally, dividing the number of the yellow pixel points by the number of the pixel points representing the whole tobacco leaves, wherein the obtained percentage is the yellow proportion of the tobacco leaves. The method for extracting the ratio of the green leaves to the yellow leaves during primary tobacco leaf baking is applied to primary tobacco leaf baking, and the adjusting efficiency can be improved for achieving machine vision tobacco leaf digital baking.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for extracting the greenish-yellow ratio of initially roasted tobacco leaves. Background technique [0002] The initial curing of tobacco leaves is the first step in turning the planted tobacco leaves into cigarette raw materials. It is the process in which farmers put fresh tobacco leaves harvested from the field in the barn to bake and prepare them to make them "raw tobacco" as the raw material of cigarettes. Set different baking temperatures in the yellowing stage, color fixing stage, and tendon stage of fresh tobacco leaves, so that the fresh tobacco leaves can reach a certain proportion of yellowing area, soft collapse, and main vein softening tobacco leaf state after baking, and Form the shape of yellow flakes, yellow tendons, hooked tips and curly edges, and then obtain the final main vein-dried raw tobacco. The whole process not only requires...

AI Technical Summary

Problems solved by technology

In the prior art, manual judgment is mostly used for the initial roasting of tobacco leaves, which is time-consuming and manpower-consuming. The application of machine vision methods can speed up the speed and reduce the consumption of manpower.

[0003] The traditional method is that experts judge the state of tobacco leaves through human eye recognition as the basis for judging the temperature and humidity adjustment of the barn. This method is more dependent on manpower and time-consuming

The existing technology uses an intelligent controller to adjust the temperature and humidity of the curing barn. However, it does not take into account that the most critical factor in tobacco leaf curing is the actual changing state of fresh tobacco leaves. Proportional features are not effectively extracted

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