Scale-space from nonlinear filters

I
ICCV
1995
Fifth International Conference on Computer Vision (ICCV'95)
Abstract - Scale-space from nonlinear filters

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Fifth International Conference on Computer Vision (ICCV'95)

Massachusetts Institute of Technology, Cambridge, Massachusetts

June 20-June 23

ISBN: 0-8186-7042-8

	ASCII Text	x
	J.A. Bangham, P. Ling, R. Harvey, "Scale-space from nonlinear filters," Computer Vision, IEEE International Conference on, pp. 163, Fifth International Conference on Computer Vision (ICCV'95), 1995.

	BibTex	x
	@article{ 10.1109/ICCV.1995.466791, author = {J.A. Bangham and P. Ling and R. Harvey}, title = {Scale-space from nonlinear filters}, journal ={Computer Vision, IEEE International Conference on}, volume = {0}, year = {1995}, isbn = {0-8186-7042-8}, pages = {163}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466791}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision, IEEE International Conference on TI - Scale-space from nonlinear filters SN - 0-8186-7042-8 SP EP A1 - J.A. Bangham, A1 - P. Ling, A1 - R. Harvey, PY - 1995 KW - computer vision; computational complexity; nonlinear filters; image recognition; extrema decomposition; linear vision systems; scale-space; 1D discrete N-sieves; 1D discrete M-sieves; diffusion based filters; order complexity; image decomposition; granularity; pattern recognition; nonlinear filters VL - 0 JA - Computer Vision, IEEE International Conference on ER -

J.A. Bangham, Sch. of Inf. Syst., East Anglia Univ., Norwich, UK

P. Ling, Sch. of Inf. Syst., East Anglia Univ., Norwich, UK

R. Harvey, Sch. of Inf. Syst., East Anglia Univ., Norwich, UK

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466791

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.

Index Terms:

computer vision; computational complexity; nonlinear filters; image recognition; extrema decomposition; linear vision systems; scale-space; 1D discrete N-sieves; 1D discrete M-sieves; diffusion based filters; order complexity; image decomposition; granularity; pattern recognition; nonlinear filters

Citation:

J.A. Bangham, P. Ling, R. Harvey, "Scale-space from nonlinear filters," iccv, pp.163, Fifth International Conference on Computer Vision (ICCV'95), 1995

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