安徽农业科学2018，Vol.46Issue(3)：169-170,198,3.
混合颜色特征下番茄叶霉病病斑双层K-means聚类分割方法
Double-layer K-means Clustering Segmentation Method of Tomato Leaf Mold Disease Spots with Mixed Color Features
摘要
Abstract
Double-layer K-means clustering segmentation method with mixed color features were proposed.Firsly,the image pixels of component I were clustered into 4 types by using k-means clustering method.a * b * components with two largest pixel in cluster center were selected to make the second K-means clustering,and the disease spots images were obtained.The test results of 21 sampled disease inages showed that the average overlap coefficient of the segment results was 97.53％,the average false positive rate was 1.22％,and the average negative positive rate was 3.52％.The research could provide teehnique references for further study on the extraction,identification of disease features,and the diagnosis of disease degree.关键词
番茄叶霉病/图像分割/双层K-means聚类Key words
Tomato leaf mold/Image segmentation/Double-layer K-means clustering分类
农业科技引用本文复制引用
秦立峰,张延苏..混合颜色特征下番茄叶霉病病斑双层K-means聚类分割方法[J].安徽农业科学,2018,46(3):169-170,198,3.基金项目
陕西省农业科技创新与攻关项目(2015NY034). （2015NY034）
