Scale-space from nonlinear filters | IEEE Journals & Magazine | IEEE Xplore

Scale-space from nonlinear filters


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 n...Show More

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.
Page(s): 520 - 528
Date of Publication: 06 August 2002

ISSN Information:


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