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Position: Home > Articles > Image Analysis Method of Light Need of the Populus alba×P. berolinensis Scientia Silvae Sinicae 2010,46 (4) 161-165

银中杨苗木光需求的图像分析法

作  者：
王雪峰;毕于慧;罗景芳
单  位：
内蒙古赤峰市克什克腾旗联峰林场;中国林业科学研究院资源信息研究所
关键词：
银中杨;光需求;图像识别;图像分割;L*a*b*模型
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,机器人的主要信息源也是
译  名：
Image Analysis Method of Light Need of the Populus alba×P. berolinensis
作  者：
Wang Xuefeng1 Bi Yuhui1 Luo Jingfang2 (1. Research Institute of Forest Resources Information Techniques,CAF Beijing 100091; 2. The Forestry Center of Keshiketeng County,Chifeng City,Inner Mongolia Chifeng 025350)
关键词：
Populus alba × P. berolinensis; light need; image recogniton; image segmentation,L* a* b* model
摘  要：
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.

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