DocumentCode
900681
Title
Scale-space from nonlinear filters
Author
Bangham, J. Andrew ; Ling, Paul D. ; Harvey, Richard
Author_Institution
Sch. of Inf. Syst., East Anglia Univ., Norwich, UK
Volume
18
Issue
5
fYear
1996
fDate
5/1/1996 12:00:00 AM
Firstpage
520
Lastpage
528
Abstract
Decomposition by extrema is put into the context of linear vision systems and scale-space. It is proved that discrete one-dimensional, M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. They are robust and preserve edges of large scale features
Keywords
computer vision; edge detection; filtering theory; mathematical morphology; nonlinear filters; computer vision; diffusion; edge preservation; image processing; large scale features; linear vision systems; morthology; nonlinear filters; scale-space; Electronic mail; Nonlinear filters;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.494641
Filename
494641
Link To Document