摘要
提出了一种基于集合势的广义形态变换形式。该变换能反映结构元素作用于目标对象的强度,控制对目标对象的过度膨胀或过度腐蚀。在广义形态变换性质研究的基础上所提出的广义形态采样方法,能更好地保留图像的形态信息和边缘信息。测试结果表明,基于广义形态变换的采样方法在提高形态变换效率及保持图像细节信息方面相对于现有的采样方法都有一定程度的改善。
A generalized morphological transform based on the set cardinality was presented. This transform can reflect the intensity when the structural element acts on the image, and prevent excessive dilation or erosion. Some properties of the generalized morphological transform provide the basis for establishing a new morphological sampling scheme for both binary and gray image. The experimental results show that the new method has higher efficiency and better information preserve function of morphological transform compared with other sampling means.
出处
《计算机应用》
CSCD
北大核心
2006年第8期1838-1841,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(904160704)
关键词
广义形态变换
形态采样
数学形态学
generalized morphological transform
morphological sampling
mathematical morphology
