小麦病害图像识别处理及形状特征提取研究  

Study on the Image Recognition Processing and Shape Feature Extraction of Wheat Diseases

作　　者：邵庆[1] 张楠[1] 路阳[1] 

机构地区：[1]黑龙江八一农垦大学,黑龙江大庆163319

出　　处：《农机化研究》2013年第8期35-37,42,共4页Journal of Agricultural Mechanization Research

基　　金：黑龙江省教育厅科技项目(12521375);黑龙江农垦总局科技项目(HNK11AZD-07-07)

摘　　要：以小麦条锈病为例,研究小麦病害部位的图像获取、处理和特征提取。通过图像灰度映射和反映射变换、非线性直方图均衡处理等方法进行病害图像噪声去除和图像优化;采用迭代阀值分割和微分边缘检测提取小麦病斑部位的形状特征,为农业作物病害诊断信息特征数据库的建立提供基础数据。Take wheat stripe rust as an illustration,research the image gets,processing and feature extraction of wheat diseased parts,denoising and strengthen the high_frquency parts of the image of the wheat diseased parts through gray_level transform,histogram equalization,median filtering and Pseudo-color enhancement,and then gaining the shap feature information of wheat diseased parts by using iterative threshold segmentation and edge detection algorithm from the processed image,provides the essential data for intelligent diagnosis of wheat disease.

关 键 词：小麦条锈病 图像处理 图像分割 特征提取 

分 类 号：S126[农业科学—农业基础科学] TP391.41[自动化与计算机技术—计算机应用技术]