DocumentCode :
3063692
Title :
Morphological filters without distorting image
Author :
Gong, Wei ; Shi, Qinyun ; Cheng, Minde
Author_Institution :
Center for Inf. Sci., Peking Univ., China
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
684
Lastpage :
687
Abstract :
Presents new morphological filters built on contour-structure-element based morphological operations. The filters can preserve completely the details and meaningful features of the image, such as the edge points, curves, locations, contrasts, etc., and remove noise effectively. A geometrical description of the behaviour of the filters is proposed. The experiment shows that the filters removed noises effectively while not distorting the image
Keywords :
filtering and prediction theory; image processing; mathematical morphology; contour-structure-element approach; geometrical description; image noise filtering; image processing; morphological filters; Ear; Feature extraction; Filters; Image analysis; Image processing; Information science; Laboratories; Noise shaping; Nonlinear distortion; Shape;
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.1992.202079
Filename :
202079
Link To Document :
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