广义多结构元素并行复合形态滤波器

GENERALIZED PARALLEL COMPLEX MORPHOLOGICAL FILTERS WITH MULTIPLE STRUCTURING ELEMENTS

本文基于数学形态学中的广义形态开-闭和闭-开运算,采用多结构元素,构造了一类并行复合形态滤波器。这类滤波器具有平移不变性、递增性、对偶性和幂等性等重要性质,并遵守阈值叠加准则,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结构特征。计算机模拟结果证实了滤波算法的有效性.

Based on the generalized open-closing and close-opening operations in mathematical morphology, a class of generalized parallel complex morphological filters is constructed by using multiple structuring elements in this paper. These filters possess some important properties such as translation invariance, increasing, duality and idempotence and obey the threshold superposition rule. They can not only effeciently suppress noise in images but also preserve the geometrical features of images. The results of computer simulation show that the new filtering method is quite effective.