Rapid primary separation system and primary separation method for naturally curled tobacco leaves after baking

Abstract

The invention discloses a rapid primary separation system and method for naturally curled tobacco leaves after baking, and the system employs a camera as image collection equipment, employs a composite algorithm combining an OTSU algorithm and an edge recognition algorithm as a recognition algorithm, employs a composite parameter formed by combining an RGB parameter, an HSV parameter, a leaf profile parameter and a leaf surface texture parameter as a grading parameter. A Bayesian classifier is adopted as a grading algorithm, automatic intelligent analysis and processing of a series of steps of image collection, target recognition, parameter yeast extraction and intelligent judgment of the naturally curled tobacco leaves after baking are achieved through system curing, the grading accuracy is improved, pre-checking and packaging can be achieved at home of tobacco growers, direct grading is achieved in a purchasing site, the working efficiency is greatly improved, the method solves the problems of high cost, low efficiency and non-standard grade qualification rate in the primary separation link of tobacco growers, and plays an important role in improving the grade purity of tobacco purchasing, promoting high-quality development of tobacco production and keeping continuous, stable and healthy development of tobacco production.

Description

technical field [0001] The invention relates to the field of tobacco leaf grading, in particular to a rapid primary grading system and primary grading method for cured naturally curly tobacco leaves. Background technique [0002] Tobacco is one of the main economic crops in my country, and its purchase price is mainly determined by the appearance quality grade of flue-cured tobacco. Beginning in 2010, the country has implemented a specialized hierarchical scattered leaf acquisition model (hereinafter referred to as: specialized scattered leaf acquisition). This mode is mainly divided into three processes: initial classification of tobacco leaves, initial inspection of tobacco leaves, and tobacco leaf grading. The initial separation of tobacco leaves is a key link in the special collection. The purpose of the primary classification of tobacco leaves is to separate tobacco leaves of different qualities, so as to improve the level of grading and binding of tobacco leaves, and...

AI Technical Summary

Problems solved by technology

But this will not only cause damage to the quality of tobacco leaves, but also reduce the grading speed and increase labor intensity

Images