福建师范大学学报（自然科学版）2012，Vol.28Issue(1)：33-37,5.
基于半监督模糊聚类的黄瓜霜霉病受害程度识别研究
Research on Disease Level of Cucumber Downy Mildew Based on Partial Fuzzy C-means Algorithm
摘要
Abstract
A novel fuzzy C-means algorithm is proposed to improve the intelligibility and computing efficiency of semi-supervised cluster algorithm. Based on Fisher linear discriminant and the proposed algorithm, the disease level of cucumber leaves infected by cucumber downy mildew are studied. 7 hue statistics of cucumber leaves are measured,and 2 feature parameters are founded based on linear discriminant analysis. The result of the partial Fuzzy Gmeuns alyorithm shows that the correct recognition rata is 100% on sample data,and above 95% on test data.关键词
黄瓜霜霉病/半监督/模糊聚类Key words
cucumber downy mildew 5 semi-supervised/ fuzzy cluster分类
数理科学引用本文复制引用
施伟民,杨昔阳,李志伟..基于半监督模糊聚类的黄瓜霜霉病受害程度识别研究[J].福建师范大学学报（自然科学版）,2012,28(1):33-37,5.基金项目
泉州市科技计划项目(2009Z54) （2009Z54）
福建省教育厅资助项目(JA08216) （JA08216）
陕西省科技厅重点国际科技合作项目(2011KW-27 （）
2010JK932) （）
泉州师范学院校科研基金项目(2009KJ04) （2009KJ04）
