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
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.632084
