基于OTSU改进算法的森林冠层孔隙度提取技术研究

Extraction of Forest Canopy Porosity Based on Improved OTSU Algorithm

冠层孔隙度是计算林冠叶面积指数的重要参数之一,对冠层生长情况的评价起到至关重要的作用。为合理获取林冠孔隙度值,本文提出利用Matlab对半球型冠层图像进行分析。提取RGB图像单一颜色分量,将提取后的图像进行分割获取有效区域,再利用改进的OTSU算法提取其像素点信息并进行计算得到孔隙度值,将该值与Winscanopy处理结果对比表明,两者具有较高的相关性。本文提出的计算方法为有效获取冠层孔隙度开辟了新途径。

Canopy gap fraction is one of the important parameters of leaf area index calculation,playing a crucial role in evaluating canopy growth.In this paper,MATLAB is applied to analyze hemispherical pho-tographs to obtain reasonable values of canopy gap fraction.After extracting the single color component, the photographs are segmented to get effective area,then information of every pixel is extracted and calcu-lated to get values of canopy gap fraction through using improved OTSU algorithms.By contrasting values of canopy gap fraction with processing results of Winscanopy,it can draw a conclusion that correlation of both sides is very high.The proposed calculation method opens up new avenues for effectively getting can-opy gap fraction.