基于叶片图像的植物鉴别技术研究进展(综述)  

A survey on plant identification based on leaf image

作　　者：邵新庆[1] 冯全[2] 邵世禄[2] 王敬轩[2] 王宇通[1] 

机构地区：[1]中国农业大学动物科技学院,北京100193 [2]甘肃农业大学工学院,甘肃兰州730070

出　　处：《甘肃农业大学学报》2010年第2期156-160,共5页Journal of Gansu Agricultural University

基　　金：国家科技支撑计划项目子课题(2007BAD52B06-2);京承路都市型现代农业走廊工程科技示范项目(D08060500460803)

摘　　要：基于叶片的计算机图像处理与识别技术,实现了植物分类的自动化和快捷化.从叶片分类和检索两个方面回顾了近年来基于叶片图像的植物分类领域的研究进展,围绕叶片图像的特征选取、分类器设计、相似性度量和算法性能等方面对多种方案的技术特点做了介绍,并指出了目前这些技术需要改进的方面.Leaf-image-based computer systems of plant identification could identify distinct species of plants by means of leaf images with the help of digital image processing and pattern recognition techniques.This paper reviews the state-of-the-art of the systems which include classification systems and retrieval systems,with focus on feature extraction,classifier,similarity measure and performance.The shortcomings of the existing systems are also pointed out.

关 键 词：叶片 植物识别 图像处理 图像检索系统 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]