一种优化烟叶信号阈值的新方法

A New Method of Optimizing Tobacco Signal Threshold

基于烟叶三基色信号存在的相关特性,采用二维相关拟合以及平移旋转方法,实现了烟叶信号的阈值优化。该方法具 有简单、方便和实用的特点,可以有效地压缩烟叶信号的阈值范围,提高烟叶检测与分级精度。该方法也可以用于其他相关物 料的分级与检测。

Based on the correlation of tobacco primary-color signals, the optimization of tobacco signal threshold can be achieved by means of displacement, rotation, and two-dimensional fitting. This method is characterized by its simplicity, facility and practicality. It enables us to compress effectively the threshold area of tobacco signals, and improve greatly the precision of tobacco detecting and grading. This method can also be used for detecting and grading other materials.