Evaluation of the Segmentation by Multispectral Fusion Approach with Adaptive Operators: Application to Medical Images
M. Lamiche Chaabane. International Journal of Advanced Computer Science and Applications(IJACSA), (2011)
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.
%0 Journal Article
%1 IJACSA.2011.020901
%A Lamiche Chaabane, Moussaoui Abdelouahab
%D 2011
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K MR fusion; image images. possibility segmentation; theory;
%N 9
%T Evaluation of the Segmentation by Multispectral Fusion Approach with Adaptive Operators: Application to Medical Images
%U http://ijacsa.thesai.org/
%V 2
%X 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.
@article{IJACSA.2011.020901,
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.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Lamiche Chaabane}, Moussaoui Abdelouahab},
biburl = {https://www.bibsonomy.org/bibtex/24b2c2e004e48d5e5ecb0d110ec89fc04/thesaiorg},
interhash = {e92cc6f5d33313c44582b2626febea1d},
intrahash = {4b2c2e004e48d5e5ecb0d110ec89fc04},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {MR fusion; image images. possibility segmentation; theory;},
number = 9,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Evaluation of the Segmentation by Multispectral Fusion Approach with Adaptive Operators: Application to Medical Images}},
url = {http://ijacsa.thesai.org/},
volume = 2,
year = 2011
}