安徽农业科学2017，Vol.45Issue(12)：193-195,234,4.
基于最大类间方差法的黄瓜病害叶片分割
Segmentation of Cucumber Disease Leaves Based on Otsu Method
摘要
Abstract
Taking diseased cucumber leaves as research object,the background was removed by the histogram threshold segmentation method.The diseased parts of cucumber leaves were segmented by using Otsu method and edge detection method.Otsu method was improved and be used to segment red component of disease spots.The results showed that the profile of the disease spot segmented by edge detection method was incomplete,and the segment effect of Otsu method was better.A better segmentation effect of diseased cucumber leaves was obtained by using Otsu method,which laid the foundation for identifying disease in the future.关键词
作物病斑/直方图/边缘检测法/最大类间方差法Key words
Crop disease spot/Histogram/Edge detection method/Otsu method分类
农业科技引用本文复制引用
张晴晴,张云龙,齐国红..基于最大类间方差法的黄瓜病害叶片分割[J].安徽农业科学,2017,45(12):193-195,234,4.基金项目
国家自然科学基金项目(61473237) （61473237）
河南省教育厅自然科学基础研究计划项目(16A510034) （16A510034）
郑州大学西亚斯国际学院校级科研项目(2016KY48) （2016KY48）
河南省高等学校重点科研项目(16A510034). （16A510034）
