DocumentCode
2306310
Title
Flexible filter neighbourhood designation
Author
Smith, Stephen M.
Author_Institution
Defence Res. Agency, Chertsey, UK
Volume
1
fYear
1996
fDate
25-29 Aug 1996
Firstpage
206
Abstract
This paper describes an approach to low level image noise reduction which uses non-linear comparisons to define which parts of the image are closely related to each individual pixel, i.e. what the local smoothing neighbourhood is. The resulting method achieves good smoothing without degrading edges, lines or corners in the image. It is also investigated for its multi-scale properties, and shown to give very little shift in edge position over multiple smoothing scales
Keywords
edge detection; feature extraction; noise; smoothing methods; SUSAN filter; flexible filter neighbourhood designation; local smoothing neighbourhood; low level image noise reduction; multi-scale properties; nonlinear comparisons; Brightness; Computer vision; Degradation; Filtering algorithms; Image edge detection; Noise reduction; Nonlinear filters; Pixel; Smoothing methods; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546020
Filename
546020
Link To Document