江西农业学报Issue(8)：109-113,5.
基于模糊理论的树冠图像边缘检测算法研究
Research on Canopy Image Edge Detection Algorithm Based on Fuzzy Theory
摘要
Abstract
This paper introduced a method for target recognition in variable pesticide application. Based on T-S fuzzy model, according to the differences in color eigenvalues( R,G,B)between green plant and its background,this study used excess green ( ExG)indicators to distinguish the membership degree of the target and its background,and defined the membership functions of the noise and the edge. According to the results of fuzzy inference,this article conducted the edge detection of plant leaf image after removing the noise,which could effectively detect the image edge. This method reduced the complexity of the algorithm,improved the working efficiency due to less working time and high operating rate,and could effectively avoid the interference of the noise.关键词
图像处理/模糊理论/边缘检测/ExGKey words
Image processing/Fuzzy theory/Edge detection/ExG分类
信息技术与安全科学引用本文复制引用
桂启发,徐素明..基于模糊理论的树冠图像边缘检测算法研究[J].江西农业学报,2014,(8):109-113,5.基金项目
国家“863”计划“果园精准生产技术与装备”（2012AA101904）。 （）
