Title :
Detail preserving morphological filtering
Author :
Kuosmanen, Pauli ; Koskinen, Lasse ; Astola, Jaakko
Author_Institution :
Dept. of Math. Sci., Tampere Univ., Finland
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201969
