大豆病斑智能识别无损预处理及其特征提取方法的研究  

Study on the method of non-loss pre-processing and feature extraction for intelligent recognition of soybean diseased spots

作　　者：关海鸥[1] 黄燕[2] 

机构地区：[1]黑龙江八一农垦大学信息技术学院,黑龙江大庆163319 [2]黑龙江八一农垦大学工程学院,黑龙江大庆163319

出　　处：《河北农业大学学报》2010年第5期123-127,共5页Journal of Hebei Agricultural University

基　　金：智能化液体肥料施用系统的研究(项目编号:11531256)

摘　　要：以大豆病叶为例,针对在采集叶片图像过程中出现的几何失真问题,提出了基于投影模型的植物叶片校正算法,测量准确性只与校正方法有关,不受其他背景因素影响。在精确校正的基础上,又实现了叶片病斑区域的特征提取与计算,实验结果表明,该方法校正精度达99%,病斑区域提取精度达100%,为进一步的病害诊断奠定了先期基础。By using soybean as an example,this paper proposes a registration Algorithm named Projection Model,aiming to avoid Geometric distortion when collecting lamina images.The accuracy is related only to registration Algorithm.Furthermore,the diseased spots have been extracted and calculated,The results showed that the registration accuracy and extraction accuracy can reach 99% and 100% respectively.It is hoped this model provides a preliminary basis for disease diagnosis.

关 键 词：大豆 投影模型 几何失真校正 病斑 特征提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]