Image Fusion

Medical substitution class amalgamation by riffle render modulus maxima Guihong Qu, Dali Zhang and Pingfan Yan Department of Automation, Tsinghua University, Beijing 100084,China khqu@public.east.cn.net Abstract Medical view fusion has been use to derive useful information from multimodality health check project data. In this research, we propose a newfangled method for multimodality health check movie fusion. Using ripple alter, we achieved a fusion scheme. A fusion rule is proposed and used for calculating the wavelet fracture modulus maxima of input images at varied bandwidths and levels. To evaluate the fusion result, a metric establish on mutual information (MI) is presented for criterion fusion effect. The performances of other cardinal methods of image fusion based on wavelet transform are briefly describe for comparison. The experiment results demonstrate the strength of the fusion scheme. 2001 Optical family of America OCIS code: (100.7410) ripple; (3 50.2660) jointure References and links M.A. Hurn, K.V. Mardia, Bayesian fused classification of medical images, IEEE Trans. Med. Imag. 15, 850-858 (1996) 2. J. Chanutsot, G. Mauris and P. Lambert, fogged fusion techniques for linear features detection in mltitemporal SAR imaged, IEEE Trans. Geoscience and outback(a) Sensing 37, 1350-1359 (1999) 3. L.

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