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温室蔬菜病害智能识别图像预处理及其特征提取方法的研究
引用本文:PENG Zhan-wu,彭占武,王雪,司秀丽,赵新子,袁洪印.温室蔬菜病害智能识别图像预处理及其特征提取方法的研究[J].吉林农业大学学报,2007,29(2):219-223.
作者姓名:PENG Zhan-wu  彭占武  王雪  司秀丽  赵新子  袁洪印
作者单位:1. 吉林农业大学工程技术学院,长春,130118
2. 吉林农业大学菌物研究所,长春,130118
3. 吉林农业大学信息技术学院,长春,130118
4. 吉林省农机管理总站,长春,130062
基金项目:吉林省科技发展计划项目(20030228)
摘    要:采用计算机图像处理技术对温室蔬菜病害进行了智能化识别,并以黄瓜霜霉病为例研究了温室蔬菜病害智能识别图像预处理和特征提取的方法。试验选择白色作为病害叶片的背景,利用中值滤波法有效地去除了噪声的干扰,利用双峰法从背景中分离出病害图像,再对图像进行边缘检测,准确地提取了病斑的几何特征。该方法能够实现对病害图像的预处理,并且能够准确地提取病害特征。

关 键 词:蔬菜病害  图像预处理  特征提取  识别
文章编号:1000-5684(2007)02-0219-05
修稿时间:2006-05-222006-08-17

A Study on the Method of Image Pre-Processing and Feature Extraction for Intelligent Recognition of Greenhouse Vegetable Diseases
PENG Zhan-wu.A Study on the Method of Image Pre-Processing and Feature Extraction for Intelligent Recognition of Greenhouse Vegetable Diseases[J].Journal of Jilin Agricultural University,2007,29(2):219-223.
Authors:PENG Zhan-wu
Institution:1. College of Engineering Technology, Jilin Agricultural University, Changchun 130118, China ; 2. Institute of Mycology, Jilin Agricultural University, Changchun 130118, China ; 3. College of lnforrnation Technology, Jilin Agricultural University, Changchun 130118, China; 4. Jilin Province Central Management Station of Agricultural Machinery, Changchun 130062, China
Abstract:Using computer image processing technology,greenhouse vegetable diseases were recognized intelligently,and taking the cucumber mildew as an example,the method of image pre-processing and feature extraction for intelligently recognizing greenhouse vegetable diseases was studied.White was chosen as the background of diseased leaf,median filter was utilized to effectively wipe out the disturbance of noise,and two-apex method was applied to separate the disease images from the background.Geometrical features of the disease spots were accurately extracted by performing image edge detection.The results suggest that the method can pre-process images and precisely extract the features of the diseases.
Keywords:vegetable disease  image pre-processing  feature extraction  identification
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