DocumentCode
2605338
Title
Laplacian Based Non-Linear Diffusion Filtering
Author
Nishiguchi, Haruhiko ; Imiya, Atsushi ; Sakai, Tomoya
Author_Institution
Sch. of Sci. & Technol., Chiba Univ.
Volume
3
fYear
0
fDate
0-0 0
Firstpage
838
Lastpage
841
Abstract
This paper aims to introduce a diffusion filtering based on the Laplacian map. Classical nonlinear diffusion filtering using the gradient-map-controlled local diffusivity. The Laplacian maps has similar geometric properties with the gradient map for the extraction of the region boundaries. Laplacian-based diffusion function has the same property with the Perona-Malik type and the Weickert type diffusion functions for the small scale. However, for the large scale, the diffusion operation has similar geometrical properties with the linear diffusion filtering. Therefore, the filtering operation in this paper provides a method for the combination of hierarchical expression based on linear and nonlinear diffusion filtering operations
Keywords
Laplace equations; feature extraction; filtering theory; image segmentation; Laplacian map; Laplacian-based diffusion function; Perona-Malik type diffusion functions; Weickert type diffusion functions; classical nonlinear diffusion filtering; geometrical properties; gradient-map-controlled local diffusivity; region boundary extraction; Filtering; Image edge detection; Image segmentation; Kernel; Laplace equations; Large-scale systems; Nonlinear filters; Pattern recognition; Smoothing methods; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.742
Filename
1699656
Link To Document