河南农业科学Issue(9)：168-172,5.
基于图像处理的玉米叶片姿态测量方法研究
Measurement Method of Maize Leaf Posture Based on Image Processing
摘要
Abstract
In order to realize the automatic measurement of maize leaf posture,based on the image processing technology,the automatic measuring methods of maize leaf posture were proposed and accomplished by following steps.Firstly,the image segmentation was adopted to separate the leaf from background.Secondly,an iterative method was used to refine the image and obtain the skeleton image.Thirdly,two methods were proposed to describe the posture of the maize leaves, of which,the curvature degree was calculated by maximum distance method,and the sag degree was measured by computing the vertical distance between the peak and the endpoint of leaf.At last,the two measurement methods were compared from the aspects of DUS (distinctness, uniformity and stability ) test and sample test.The results showed that the two measuring methods established in this paper were feasible and easy to realize,with the testing accuracy of 92.4% and 88.2%,respectively,which could effectively describe and quantify the curvature degree of maize leaves.Futhermore,the two methods need no calibration.关键词
玉米叶片姿态/图像处理/弯曲度/下垂度/DUS测试Key words
maize leaf posture/image processing/curvature/sag/DUS test分类
农业科技引用本文复制引用
邓立苗,于仁师,马文杰..基于图像处理的玉米叶片姿态测量方法研究[J].河南农业科学,2014,(9):168-172,5.基金项目
山东省自然科学基金项目（ZR2009GM006）；青岛市公共领域科技支撑计划项目 （）
