安徽工程大学学报2016，Vol.31Issue(2)：73-77,5.
基于图像处理的农作物受害程度检测方法
Detection method for damage level of crop based on image processing
摘要
Abstract
Aiming at the problem of the damage level of crop,an image processing technology is used to measure the proportion of damage level in crop leaf diseases.First of all,by using image graying method to process the leaf samples,the complex background can be removed to obtain the independent regions. Based on this,by using the maximum variance between two classes analysis algorithm,the pixels from lesion area and non- lesion area can be counted in binary image.Then,the proportion of the damage level of crop is obtained for error analysis.At last,the results of multiple experiments verify the effectiveness and feasibility of the proposed method.关键词
农作物/图像处理/受害程度/最大类间方差/误差Key words
crop/image processing/damage level/maximum variance between two classes/error分类
信息技术与安全科学引用本文复制引用
吉涛,魏利胜,张平改..基于图像处理的农作物受害程度检测方法[J].安徽工程大学学报,2016,31(2):73-77,5.基金项目
安徽省自然科学基金资助项目(1608085MF146) （1608085MF146）
