Image Registration plays an important role for fusion of information from multiple images. Applications of Image Registration can be found in medical images, robotics. Image registration is the process of finding the transformation which best matches, according to some similarity measure, two or more images that differ in certain aspects but essentially represent the same object. In the proposed algorithm, a novel non-rigid image registration algorithm has been used which combines information from different modalities to produce a unified joint registration. In this proposed method, Feature level information fusion is used which combines complementary information from different modalities which characterize different tissues using Gabor wavelet transform. Principal Component Analysis (PCA) is used for image fusion. By performing fusion to the registered images more accurate information can be obtained in the fused image. The proposed method has been tested on various medical images acquired using different modalities and evaluated based on its registration accuracy.

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Image Fusion Gabor Wavelet Transform Feature Based Image Fusion