Scale space from nonlinear filters

JA Bangham, PD Ling, RW Harvey

Research output: Contribution to conferenceOther

6 Citations (Scopus)


Decomposition by extrema is put into the context of linear vision systems and scale-space. One dimensional discrete M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. Furthermore M- and N-sieve algorithms are extremely fast with order complexity n. Used to decompose an image, the resulting granularity is appropriate for pattern recognition.
Original languageEnglish
Number of pages6
Publication statusPublished - Jun 1995
Event5th International Conference on Computer Vision - Cambridge, United States
Duration: 20 Jun 199523 Jun 1995


Conference5th International Conference on Computer Vision
Country/TerritoryUnited States

Cite this