DocumentCode
1570564
Title
Estimation of class membership functions for grey-level based image fusion
Author
Bloch, Isabelle ; Aurdal, Lars ; Bijno, Domelzico ; Muller, Jens
Author_Institution
Dept. Images, Ecole Nat. Superieure des Telecommun., Paris, France
Volume
3
fYear
1997
Firstpage
268
Abstract
In this paper we propose a new unsupervised method for estimating class membership functions from statistical data. It combines in an original way information derived from the histogram as well as prior knowledge of the requirements that the functions must satisfy and that cannot be derived from the histogram. The method has been tested successfully on MR brain images, and applications to image fusion are illustrated
Keywords
biomedical NMR; brain; estimation theory; image processing; medical image processing; sensor fusion; statistical analysis; unsupervised learning; MR brain images; class membership functions; grey-level based image fusion; histogram; image fusion; prior knowledge; statistical data; unsupervised method; Brain; Frequency; Histograms; Image converters; Image fusion; Pixel; Probability distribution; Shape; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.632084
Filename
632084
Link To Document