文献类型：期刊文献

中文题名：银中杨苗木光需求的图像分析法

英文题名：Image Analysis Method of Light Need of the Populus alba×P. berolinensis

作者：王雪峰[1] 毕于慧[1] 罗景芳[2]

第一作者：王雪峰

机构：[1]中国林业科学研究院资源信息研究所;[2]内蒙古赤峰市克什克腾旗联峰林场

年份：2010

卷号：46

期号：4

起止页码：161-165

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：CSTPCD;;Scopus;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家"863"课题(2006AA10Z247);2004年留学回国基金;中国林业科学研究院基金(IFRIT200901)资助项目

语种：中文

中文关键词：银中杨;光需求;图像识别;图像分割;L＊a＊b＊模型

外文关键词：Populus alba × P. berolinensis; light need; image recogniton; image segmentation; L＊ a＊ b＊ model

分类号：S758

摘要：近年来,在一些国际农林业学术会议上出现了＂智能林业＂的概念（Hirafuji et al.,2008a;2008b）,＂智能林业＂的主体是林业机器人,与人类信息的70%以上来自视觉一样,
Image is the largest information resource of intelligent forestry. The development and accuracy of image comprehension are directly related to the development and application process of intelligent information technology in forestry. In this article,we segmented the Populus alba × P. berolinensis seedling from an image by image comprehension method at first,and then analyzed the light need of it,and at last compared the image with the images of yellowing seedlings for drought. The results indicate that the seedling can be segmented well by minimum distance discrimination method based on L＊ a＊ b＊ model,the gradual process of plant changing from green to yellow due to inadequate light can be statemented by the changes of the peak value in R component histogram. In addition,it may achieve better result using the the value of b＊ component in L＊ a＊ b＊ model to judge it is drought or lack of light leading to seedling yellowing.