Share Email Print

Proceedings Paper

Information-theory-based registration and segmentation of medical images
Author(s): Karol Kuczynski; Pawel Mikolajczak
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Growing popularity of non invasive medical techniques makes accurate and reliable diagnostics based on image data more and more important. It is necessary to implement modern, highly automated image processing techniques. Information theory and statistics provide a means to create such systems. In this paper we discuss application of entropy and mutual information in segmentation and registration of real world medical images.

Paper Details

Date Published: 7 July 2004
PDF: 10 pages
Proc. SPIE 5505, Optical Methods, Sensors, Image Processing, and Visualization in Medicine, (7 July 2004);
Show Author Affiliations
Karol Kuczynski, Maria Curie-Sklodowska Univ. (Poland)
Pawel Mikolajczak, Maria Curie-Sklodowska Univ. (Poland)

Published in SPIE Proceedings Vol. 5505:
Optical Methods, Sensors, Image Processing, and Visualization in Medicine
Antoni Nowakowski; Bogdan B. Kosmowski, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?