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
fDate :
5/1/1996 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
