In this paper we experiments with geometric algorithms for image smoothing. Examples are given for MRI and ATR data. We emphasize experiments with the affine invariant geometric smoother or affine heat equation, originally developed for binary shape smoothing, and found to be efficient for gray-level images as well. Efficient numerical implementations of these flows give anisotropic diffusion processes which preserve edges.
|Original language||English (US)|
|Number of pages||5|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|State||Published - 1994|
|Event||Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA|
Duration: Nov 13 1994 → Nov 16 1994
Bibliographical noteFunding Information:
GS was with CICS & LIDS, Massachusetts Institute of Technology, Cambridge, MA 02139, when this work was performed. This work was supported in part by grants from the National Science Foundation DMS-8811084 and ECS-9122106, by the Air Force Office of Scientific Research AFOSR-90-0024 and F49620-94-1-00S8DEF, by the Army Research Office DAAL03-91-G-0019, DAAH04-93-G-0332, and DAAL03-92-G-0115, by the BMDO/IST program managed by the Office of Naval Research N00014-92-J-1911, by the Rothschild Foundation-Yad Hanadiv, and by Image Evolutions Ltd. The authors thank Prof. Lloyd Kaufman, from the CNS - NYU, for providing us with his own MRI data.