Scale-space from nonlinear filters

JA Bangham, PD Ling, RW Harvey

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)520-528
Number of pages9
JournalIEEE Trans. Pattern Analysis and Machine Intelligence
Volume18
Issue number5
DOIs
Publication statusPublished - May 1996

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