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 scene fusion has been utilise to derive useful information from multimodality wellness check design data. In this research, we propose a new(a) method for multimodality health check flick fusion. Using wavelet transform, we achieved a fusion scheme. A fusion rule is proposed and used for calculating the wavelet fracture modulus maxima of input images at polar 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 dickens methods of image fusion based on wavelet transform are briefly describe for comparison. The experiment results demonstrate the military strength of the fusion scheme. 2001 Optical family of America OCIS code: (100.7 410) ripple; (350.2660) alinement 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, brumous 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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