农机化研究Issue(8)：180-183,4.
数学形态学在作物病害图像预处理中的应用研究
Application Research of Mathematical Morphology in Crop Disease Image Preprocessing
摘要
Abstract
This paper select the images of wheat leaf disease as research object which were collected under complex back -ground , In order to analyze the type and degree of wheat diseases furtherly , an image preprocessing method based on mathematical morphology was designed according to geometry characteristic of wheat leaf .Using phase consistency model for edge detection firstly , then the closing operation , opening operation , shape area filling operation and reconstruction in combination with area-open operation are used to preprocess the original image under complex background with a lot of noise .Experimental results demonstrate that the pre-processing method proposed in this paper is efficient in a single wheat leaf extraction and noise elimination while retaining lots of detailed information of the wheat leaf original image . The method detected the prominent leaf accurately , which provides a new way for feature extraction and classification of crop disease .关键词
作物病害/数学形态学/面积开运算/小麦叶片分类
农业科技引用本文复制引用
刘立波,赵春江,吴华瑞,高荣华..数学形态学在作物病害图像预处理中的应用研究[J].农机化研究,2013,(8):180-183,4.基金项目
国家自然科学基金项目（60871042，61102126）；国家科技支撑计划项目（2011BAD21B02）；国家核高基重大专项（2010ZX01045-001-004）；北京市自然科学基金项目（4122034）；北京市博士后基金项目（2011）；宁夏自然科学基金项目（ NZ1124）；宁夏大学自然科学基金项目 （）
