SCALE-SPACE FROM NONLINEAR FILTERS

Authors
BANGHAM JA LING PD HARVEY R
Citation
Ja. Bangham et al., SCALE-SPACE FROM NONLINEAR FILTERS, IEEE transactions on pattern analysis and machine intelligence, 18(5), 1996, pp. 520-528
Citations number
40
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
18
Issue
5
Year of publication
1996
Pages
520 - 528
Database
ISI
SICI code
0162-8828(1996)18:5<520:SFNF>2.0.ZU;2-3
Abstract
Decomposition by extrema is put into the context of linear vision syst ems and scale-space. It is proved that discrete one-dimensional, M- an d N-sieves neither introduce new edges as the scale increases nor crea te new extrema. They share this property with diffusion based filters. They are robust and preserve edges of large scale features.