Abstract: With the development of acquisition image techniques, more and more image data from different sources of image become available. Multi-modality image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single modality. In medical imaging based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents the evaluation of the segmentation of MR images using the multispectral fusion approach in the possibility theory context . Some results are presented and discussed.

Lamiche Chaabane and Moussaoui Abdelouahab, “Evaluation of the Segmentation by Multispectral Fusion Approach with Adaptive Operators: Application to Medical Images” International Journal of Advanced Computer Science and Applications(IJACSA), 2(9), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020901

@article{Chaabane2011,
title = {Evaluation of the Segmentation by Multispectral Fusion Approach with Adaptive Operators: Application to Medical Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020901},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020901},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {9},
author = {Lamiche Chaabane and Moussaoui Abdelouahab}
}