Title :
On shape-preserving boundary conditions for diffusion smoothing
Author :
Trucco, Emanuele
Author_Institution :
Dept. of Artificial Intelligence, Edinburgh Univ., UK
Abstract :
Several boundary treatments for attenuating shape deformation introduced by Gaussian smoothing are discussed. The author models Gaussian smoothing by a diffusion equation, a general mathematical framework particularly useful for scale-space analysis. An adaptive, shape-reserving boundary condition for diffusion smoothing range images is introduced. It is shown that this condition is more general than similar techniques found in the literature
Keywords :
adaptive systems; filtering and prediction theory; image processing; sensor fusion; Gaussian smoothing; diffusion smoothing; image analysis; range images; scale-space analysis; shape deformation; shape-preserving boundary conditions; Artificial intelligence; Boundary conditions; Data analysis; Equations; Gaussian noise; Image analysis; Image segmentation; Quantization; Smoothing methods; Surface treatment;
Conference_Titel :
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
0-8186-2720-4
DOI :
10.1109/ROBOT.1992.220135
