Extraction of Salient Brain Patterns for Image based Classification by Fusion of Images

The complementary data of a targeted organ captures with the help of medical imaging such as MRI and CT scan. In order to obtain a better diagnosis and treatment of a patient, the necessary data integrates into a single image. Image fusion combines useful or complementary information from multiple images into a single image. The technique of medical imaging produces an internal representation of organs for further treatments and analysis process. A proposed called new pixel-level fusion algorithm used. The key idea in our proposed method to get sharpens images. By using the details of sharpened images, the weight calculated for fusion purpose. This algorithm consists of two significant steps. (A) First step: obtain the detail layer images using box filters. (B) Second step: fuse the detail images using a fusion rule based on image statistics. In this paper, we have established effective results using mat lab software.