摘要
针对图像滤波消噪的同时把图像中一些重要的细节特征消去这个问题,阐述了数学形态学的基本运算及其在图像滤波中的应用,提出了基于数学形态学的图像滤波方法。该方法在指纹图像处理的应用中表明了它的有效性。
In view of the problem that when image noise is being reduced some important detailed features are also removed, this paper shows some basic operators of mathematical morphology and their uses in image noise reduction, and then proposes an improved image noise reduction using mathematical morphology. Its application to the processing of fingerprint images proves its validity.
出处
《大庆石油学院学报》
CAS
北大核心
2003年第4期48-50,共3页
Journal of Daqing Petroleum Institute
关键词
数学形态学
图像滤波
结构元素
开
闭
膨胀
腐蚀
平移
mathematical morphology
image filter
structuring element
opening
closing
dilation
erosion
translation
