Method for determining area quality of tobacco leaves based on intelligent image processing and model estimation

Abstract

The invention provides a method for determining area quality of tobacco leaves based on intelligent image processing and model estimation. The determination method comprises the following steps of: acquiring a tobacco leaf image, namely, acquiring the tobacco leaf image by an image data acquisition device for tobacco and fabricated products thereof; extracting the tobacco leaf image by intelligent image processing, namely, identifying the tobacco leaf profile of the obtained tobacco leaf image by the light of the tobacco leaf image obtained by treating the intelligent image, obtaining the area information of a main stem region and a leaf region of the tobacco leaf by clustering analysis on the tobacco leaf image, and calculating the actual area of the tobacco leaf; estimating the tobacco leaf area quality through an image method binary linear model, namely, taking the total tobacco leaf quality as a dependent variable, taking the main stem region area and the leaf region area of the tobacco leaf as independent variables, and building a binary linear model about the main stem density parameter and the leaf density parameter to estimate the density parameter. The method for determining area quality of tobacco leaves, provided by the invention, can be used for determining the tobacco leaf area quality objectively and accurately.

Description

technical field [0001] The invention belongs to the technical field of tobacco, and relates to a method for measuring the area quality of tobacco leaves, in particular to a method for measuring the area quality of tobacco leaves based on intelligent image processing and model estimation. Background technique [0002] Tobacco leaf area quality is one of the important indicators of tobacco leaf physical characteristics. The determination of this indicator has high reference value for tobacco leaf quality evaluation, and is an important reference for raw material cost accounting, cigarette quality control and processing technology selection. At present, the method for determining the area quality of tobacco leaves is usually the leaf area mass method (mass method), that is, through a hole puncher with a known area on the flat tobacco leaves, the non-stalk area is artificially selected (the leaf stalk area is not in the Tobacco leaf area and mass calculation range) select six pe...

AI Technical Summary

Problems solved by technology

[0006] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method for measuring the area quality of tobacco leaves based on intelligent image processing and model estimation, which is used to solve the problem that the existing technology cannot efficiently, quickly and accurately measure the area quality of tobacco leaves. The problem

Images