罗汉果种属特征视觉检测与信息库的建立

Vision Detection Analysis on Siraidia grosvenrii Characteristics of Species and Construction of Feature Information Base

利用自行研制的罗汉果图像识别系统对野生罗汉果品种以及组培罗汉果品种的果实图像进行处理计算,获得各个品种的长、宽、伸长度、周长、面积、圆形度、紧凑度、红、绿、蓝、色调、饱和度等外观特征参数,进而建立一个罗汉果品种的特征信息库,有助于对野生罗汉果品种进行保护以及明确其特征特性的分类界限,为检测提供阈值选择参考,是机器视觉检测和识别罗汉果品种的基础。

Siraidia grosvenrii natural varieties and fruit image of Tissue-cultured ones are processed and calculated with self-developed Siraidia grosvenrii image recognition system to gain various species of the appearance of the characteristic parameters, such as length, width, eccentricity, perimeter, area, circular degree ,solidity,red ,green ,blue hue and saturation ,etc. Then the feature information database of Siraidia grosvenrii varieties is built,which help to detect Siraidia grosvenrii natural variety,clear their category boundaries of characteristics ,and offer threshold selection reference. Therefore ,this database is the foundation of machine vision inspection and identification of Siraidia grosvenrii varieties.