International Journal of Engineering and Technology

In image processing and image analysis the final result is obtained by combining information from various resources. To obtain better result from combined information, image registration plays an important role, which is a earlier step in image segmentation. Generally it follows feature extraction, feature matching, transformation and sampling, dominant extracted features and matching algorithm gives the better registration accuracy. In proposed system contourlet transform and mutual information is combined to increase the accuracy in registration process. Contourlet transform extracts efficient curves and edges from MRI images, these features from MRI brain images helps to match the information using mutual information. Performance comparison of proposed results shows high performance using Contourlet transform.