Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (1): 174-177.

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

ZHANG Lu1, LUO Xiao-shu1, CHEN Quan-bin2, CHEN Li1   

  1. 1. College of Electronic Engineering,Guangxi Normal University,Guilin Guangxi 541004,China;
    2. College of Resources and Enviromentology,Guangxi Normal University,Guilin Guangxi 541004,China
  • Received:2009-09-20 Online:2010-03-20 Published:2023-02-07

Abstract: Siraidia grosvenrii natural varieties and fruit image of Tissue-cultured ones are processed and calculated with self-developed Siraidia grosvenriiimage recognition system to gain various species of the appearance of thecharacteristic 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 helpto detect Siraidia grosvenrii natural variety,clear their category boundaries of characteristics,and offer threshold selection reference.Therefore,thisdatabase is the foundation of machine vision inspection and identification of Siraidia grosvenrii varieties.

Key words: Siraidia grosvenrii (Swingle) C.Jeffrey, feature information base, characteristics, detection of species

CLC Number: 

  • TP391.41
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