安徽农业科学2012，Vol.40Issue(26)：12877-12879,3.
基于改进颜色特征的小麦病害图像识别技术研究
Image Recognition of Wheat Diseases Based on Improved Color Feature
摘要
Abstract
[Objective] The aim was to introduce an image recognition method of wheat diseases based on color feature. [ Method] First,image preprocessing using wavelet transform was made for image enhancement and de-noising; then image segmentation was made based on non-green feature of disease pixels,obtaining image with only disease pixels; mean values of R,G and B were computed to get color mean ratios as color features ; finally feature ranges were obtained by analyzing sample images, and unknown disease recognition was performed using color features. [ Result] The recognition accuracy of wheat diseases leaf rust,stripe rust and powdery mildew by the method reached 98%. [Conclusion] The research provides theoretical basis for the diagnosis and treatment of wheat diseases.关键词
小麦病害/机器视觉/图像识别/颜色特征Key words
Wheat disease/Machine vision/Image recognition/Color feature分类
农业科技引用本文复制引用
刘连忠,张武,朱诚..基于改进颜色特征的小麦病害图像识别技术研究[J].安徽农业科学,2012,40(26):12877-12879,3.基金项目
安徽农业大学校长基金重点项目(2010ZD11). （2010ZD11）
