DocumentCode :
3205459
Title :
Nonlinear multiscale filtering using mathematical morphology
Author :
Morales, Aldo ; Acharya, Raj
Author_Institution :
Coll. of Eng., Pennsylvania State Univ., DuBois, PA, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
572
Lastpage :
578
Abstract :
A multiscale filtering scheme based on the three Matheron axioms for morphological openings is developed. It is shown that opening a signal with a gray scale operator does not introduce additional zero-crossings as one moves to coarser scales. Within this framework, the problem of choosing an appropriate structuring element is studied. In order to obtain a measure of the performance of different structuring elements, the statistical properties of gray scale opening are studied, using a powerful tool in mathematical morphology, namely, basis functions
Keywords :
image processing; mathematical morphology; pattern recognition; Matheron axioms; basis functions; gray scale operator; mathematical morphology; nonlinear multiscale filtering; statistical properties; structuring element; Data compression; Educational institutions; Filtering; Image analysis; Kernel; Morphology; Multidimensional signal processing; Nonlinear filters; Signal analysis; Signal representations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223133
Filename :
223133
Link To Document :
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