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基于LXF模型水平集的玉米叶部病斑图像分割
引用本文:张柏毅,朱景福.基于LXF模型水平集的玉米叶部病斑图像分割[J].黑龙江八一农垦大学学报,2012,24(3):71-74.
作者姓名:张柏毅  朱景福
作者单位:黑龙江八一农垦大学信息技术学院,大庆,163319
摘    要:农作物病害的发生对我国农业生产危害较大,运用机器识别技术对农作物病害图像进行自动识别有着重要的意义。主要介绍传统水平集和基于LXF模型水平集的分割算法原理,并且运用两种方法分别对玉米叶部病斑进行图像分割。实验表明基于LXF模型水平集的分割算法缩短了玉米病斑图像分割时间的同时病斑分割效果良好,为以后的特征提取、病斑种类的识别打下了良好的基础。

关 键 词:图像分割  农作物  病害诊断  病斑

Image Segmentation of Corn Leaves Disease Spot Based on LXF Model Level Set
Zhang Baiyi,Zhu Jingfu.Image Segmentation of Corn Leaves Disease Spot Based on LXF Model Level Set[J].Journal of Heilongjiang August First Land Reclamation University,2012,24(3):71-74.
Authors:Zhang Baiyi  Zhu Jingfu
Institution:(College of Information technology,Heilongjiang Bayi Agricultural University,Daqing 163319)
Abstract:The occurrence of crop disease damaged agricultural production,it was important to apply the machine recognition technology to automatically identify the crop disease image.This paper mainly introduced the segmentation algorithm principle of traditional level set and the model based on LXF level set,and used the two methods respectively for image segmentation of corn leaves disease spot.Experimental results showed that segmentation algorithm of the model based on LXF level set shortened the segmentation time and the effect was good.It could establish a good foundation for the following feature extraction and identification of disease spot variety.
Keywords:image segmentation  the crops  disease diagnosis  disease spot
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