Detail preserving morphological filtering

Author

Kuosmanen, Pauli ; Koskinen, Lasse ; Astola, Jaakko

Author_Institution

Dept. of Math. Sci., Tampere Univ., Finland

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

236

Lastpage

239

Abstract

In this paper, detail preserving morphological filtering operations are presented. These operations generalize so called soft morphological operations which have been shown to preserve details well. The results show that the filtering operations introduced preserve details better than standard morphological filters and, at the same time, are less sensitive to noise. Also, a new class of idempotent morphological filters is constructed

Keywords

filtering and prediction theory; image processing; mathematical morphology; detail preserving morphological filtering; idempotent morphological filters; image processing; soft morphological operations; Filtering; Filters; Image processing; Morphological operations; Noise shaping; Robustness; Shape; Statistics; Tail;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2920-7

Type

conf

DOI

10.1109/ICPR.1992.201969

Filename

201969

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3061556