Experiments on geometric image enhancement

G. Sapiro, A. Tannenbaum, Yu Li You, M. Kaveh

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

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 languageEnglish (US)
Article number413615
Pages (from-to)472-476
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

Bibliographical note

Funding 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.

Publisher Copyright:
© 1994 IEEE.

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