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
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;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1418844