摘要
基于广义形态开—闭和闭—开运算，采用多种结构元和自适应加权平均技术，定义了一类新型形态滤波器。这类滤波器不仅可以有效地抑制图象中的噪声，而且较好地保持了图象的几何特征。滤波器计算简单，便于实时并行处理。
Based on the generalized morphological open closing and close opening operations, a class of new morphological filters are defined using multiple structuring elements and adaptive weighted averaging technique in this paper. They can not only efficiently suppress noise in the image but also preserve the geometrical features of the image. These filters possess calculation simplicity and easy to be real time processed in parallel.
出处
《中国图象图形学报（A辑）》
CSCD
1997年第11期806-810,共5页
Journal of Image and Graphics
基金
国家自然科学基金
关键词
数学形态学
形态滤波器
结构元
自适应滤波
Mathematical morphology, Morphological filter, Structuring element, Adaptive filtering
