Multi-Mode Medical Image Fusion Algorithm Based on Principal Component Analysis

Based on research of principal component analysis, the principal component analysis is introduced to medical image fusion. The K-L transform is used to multi-mode images. Then a new matrix is composed. A eigenvector which accounts for above 90 percent in contribution of variance about the new matrix is adopted to obtain principal components. Using principal components can carry on image fusion. The result indicates that the method has many characters, such as fast execution, great information entropy and broad dynamic range. Keywords-principal components; analysis; image fusion; multimode images.

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