DocumentCode :
2999003
Title :
Qualitative and Quantitave Analysis of Six Image Fusion Methodologies and Their Application to Medical Imaging
Author :
Fazel, Seyyed Adel Alavi ; Gal, Yaniv ; Yang, Zhengyi ; Vegh, Viktor
Author_Institution :
Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2011
fDate :
6-8 Dec. 2011
Firstpage :
308
Lastpage :
313
Abstract :
In this paper, six existing image fusion algorithms, and their application to medical images are studied. Quantitative measurements used in the literature were tested on synthetic data to verify their consistency with qualitative analysis. Each of these algorithms was optimized for quantitative measures which our experiments found consistent with visual qualitative analysis. Finally, algorithms with the optimal parameters were tested on medical data, and corresponding quantitative analysis is provided. Our experiments suggest that, for medical image fusion, the use of Contour let transform achieves the best results. Although, the stationary wavelet transform provided similar quantitative result with substantially less computational complexity.
Keywords :
computational complexity; image fusion; medical image processing; wavelet transforms; computational complexity; contourlet transform; medical data; medical image fusion; quantitative measurement; quantitative measures; stationary wavelet transform; visual qualitative analysis; Biomedical imaging; Filter banks; Image fusion; Measurement; Positron emission tomography; Wavelet transforms; Contourlet tranfrom; Image fusion; Quantitative analysis; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
Conference_Location :
Noosa, QLD
Print_ISBN :
978-1-4577-2006-2
Type :
conf
DOI :
10.1109/DICTA.2011.58
Filename :
6128700
Link To Document :
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