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