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《Journal of Harbin University of Science and Technology》 2014-05
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Image Weighted Fusion Algorithm Based on Regional Energy and Layers Correlation

LI Hong-yan;NING Zi-yu;LI Ke;LI Meng;School of Medical Informatics,Harbin Medical University(Daqing) Infmatics;  
In this paper,we study a kind of image fusion methods,which based on local energy of CL multiwavelet transform. This method improved energy fusion rely on energy matching degree,and studied the numerical relation of the multi-layer local energy fully. Image correlation coefficient between the layers is used to determine the fusion weight after multiple wavelet decomposition. The algorithm stability is strong,easy to meet the real-time requirement the diagnosis. Experimental results show that the method is compared with pure GHM regional energy fusion method,not only the image information entropy and mutual information entropy,increased by 2% and 5%respectively,the cross entropy and standard deviation also improved. Have a good intuitive visual effects.
【Fund】: 黑龙江省卫生厅科学研究项目(2011-232)
【CateGory Index】: TP391.41
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