摘要
烟叶病害是制约烟草质量、品质的重要因素。正确识别烟叶病害、及时防治是烟草生产亟待解决的一个问题。数字图像进行增强处理,可以使图像整体或局部特征能有效地改善。笔者以常见烟叶侵染性病害为对象,选取烟叶野火病的灰度图像分别进行了对比度增强、中值滤波增强以及结合2种方法的共同操作,应用MATLAB语言仿真,结果发现2种技术的结合可以使图像的细节特征更加明显,图像更加平滑,其图像增强效果要好于单独采用其中任意一种方法的处理结果。
Tobacco disease is the important factor which restricts tobacco mass and quality,so exactly recognizing and preventing from the tobacco disease are the problem urgently solving.Image enhancement is digital image＇s pretreatment,it can effectively improve the image＇s entirely or part characters.This study took the usual infectivity disease of tobacco as research object,with the language of MATLAB.Using the gray-scale transformation,median filter and the combination of the two methods to processed the tobacco wildfire disease gray images.The simulation result indicated that the two kinds of technologic union can make the image detail characteristic especially obvious and the smoothness of the image especially clear,the effect of image enhancement was better than any using of the two technologies.
出处
《中国农学通报》
CSCD
北大核心
2011年第6期469-472,共4页
Chinese Agricultural Science Bulletin
关键词
烟叶病害
对比度增强
中值滤波
tobacco disease
contrast enhancement
median filter
