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A novel image fusion algorithm performed on the feature level is proposed incorporating with region segmentation and Cauchy convolution. Firstly, the fuzzy c-means clustering algorithm(FCM) is used to segment the image in the space of feature difference, which is formed by dual-tree discrete wavelet transform(DT-DWT) sub-bands. Secondly, the high frequency coefficients are modeled by the convolution...
When the fused variables are independent or the statistics of variables are known perfectly, Kalman filter is rigorous and yields minimum mean squared error estimate. But in most situations, it is impossible to guarantee that the fused variables are independent and even might be highly correlated. In that case, it is possible to "over estimate" the statistics. CI algorithm can achieve a...
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