论文信息 - The analysis of morphological filters with multiple structuring elements

The analysis of morphological filters with multiple structuring elements

Abstract Mathematical morphology has been widely used in the image processing area in recent years. Due to the nature of mathematical morphology, there are limitations in the performance of simple morphological algorithms that use a single structuring element. Combinations of morphological operators with other set operations as well as the utilization of multiple structuring elements can enhance the performance of morphological-based filters. In this paper we present properties of morphological operators that use multiple structuring elements. We show that these properties can be used to design complex morphological-based algorithms.

Edward J. Delp | Jisheng Song | E. Delp | J. Song

[1] Stanley R Sternberg,et al. Grayscale morphology , 1986 .

[2] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .

[3] G. Arce,et al. Morphological filters: Statistics and further syntactic properties , 1987 .

[4] E.J. Delp,et al. Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators , 1989, IEEE Transactions on Biomedical Engineering.

[5] Petros Maragos,et al. Morphological filters-Part I: Their set-theoretic analysis and relations to linear shift-invariant filters , 1987, IEEE Trans. Acoust. Speech Signal Process..

[6] Stanley R. Sternberg,et al. Biomedical Image Processing , 1983, Computer.

[7] Xinhua Zhuang,et al. Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8] Edward J. Delp,et al. A generalization of morphological filters using multiple structuring elements , 1989, IEEE International Symposium on Circuits and Systems,.