Title :
Adaptive filtering using gradient morphology
Author :
Schoenmakers, R.P.H.M. ; Stakenborg, J.H.T.
Author_Institution :
Joint Res. Center, CEC, Ispra, Italy
fDate :
30 Aug-3 Sep 1992
Abstract :
A method is presented to remove noise from images as a preprocessing step for segmentation. It is based on the analysis of the slope of the gradient profile in a moving window after sorting its elements. By classifying the slope segments, rules can be applied for smoothing. These rules can be adapted for edge preservation
Keywords :
adaptive filters; edge detection; filtering and prediction theory; image segmentation; mathematical morphology; edge preservation; gradient morphology; gradient profile; image segmentation; moving window; slope segment classification; smoothing; sorting; Adaptive filters; Gaussian distribution; Image edge detection; Image segmentation; Morphology; Nonlinear filters; Remote sensing; Satellites; Smoothing methods; Sorting;
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.1992.201970
