DocumentCode
432544
Title
Contour simplification using non-linear diffusion
Author
Pinheiro, António M G ; Ghanbari, Mohammed
Author_Institution
Unidade de Deteccao Remota, Univ. da Beira Interior, Covilha, Portugal
Volume
1
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
673
Abstract
The non-linear diffusion of the method of P. Perona and J. Malik (see IEEE Trans. Pattern Anal. and Machine Intelligence, vol.PAMI-12, no.7, p.629-39, 1990; Proc. IEEE Comput. Soc. Workshop on Comput. Vision, p.16-22, 1987) is applied to a contour. Unlike most contour diffusion techniques, the contour is described by the angle variation, and the non-linear diffusion procedure is applied to the contour turning angle. The Perona and Malik model determines how strongly diffusion acts on the original function, and depends on a factor K, estimated automatically. In areas with spatial concentration of strong changes of angle, this factor is also adjusted to reduce the contour small perturbations and noise effects.
Keywords
image segmentation; parameter estimation; angle variation; automatic segmentation; contour diffusion; contour simplification; image processing techniques; nonlinear diffusion; spatial concentration; turning angle; visual data handling techniques; Application software; Image recognition; Internet; MPEG 4 Standard; MPEG 7 Standard; Noise reduction; Noise shaping; Shape; Systems engineering and theory; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1418844
Filename
1418844
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