跟踪虫算法在烤烟烟叶边界检测中的研究  

Application of Tobacco Leaf Edge Detection with Tracking Bug Method

作　　者：李彰[1] 毛鹏军[2] 王俊[2] 张伏[2] 邱兆美[2] 杜东亮[2] 

机构地区：[1]河南省烟草公司洛阳市公司,河南洛阳471001 [2]河南科技大学车辆与动力工程学院,河南洛阳471003

出　　处：《安徽农业科学》2010年第18期9515-9516,共2页Journal of Anhui Agricultural Sciences

基　　金：河南省科技攻关项目(082102210065);河南省教育厅自然科学研究计划项(2007210005)

摘　　要：烟叶的形状包括烟叶的长度、宽度、面积、周长和圆度等叶形参数,只有准确获得烟叶的边界轮廓信息,才能计算众多的叶形参数。文章介绍了经典的边缘检测算子,并利用跟踪虫算法准确提取烟叶的边界轮廓特征。结果表明,该算法具有很好的边界提取能力。Tobacco leaf shapes included the length,width,area,perimeter and roundness parameters and so on,only obtained exact boundaries of the leaf information,a large number of leaf parameters could be calculated.The classical edge detection methods were introduced,bug method was used to track the boundaries of tobacco leaf extractly.The result showed that the algorithm had a good edge extraction capability.

关 键 词：烟叶 边界检测 跟踪虫算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]