Efficient implementation of image fusion and interpolation for brain tumor diagnosis

In this paper, image fusion is applied on both magnetic resonance (MR) and computed tomography (CT) images to generate a single image with more details. The objective is to help specialists to detect brain tumors, accurately. In addition, this paper introduces a comparative study of various types of image fusion and interpolation techniques to help for better diagnosis of brain tumors. Then, threshold segmentation is used to detect the brain tumor region. Finally, a morphological operation is performed to shape the tumor region, regularly. The performance of the brain tumor segmentation process with all image fusion and interpolation techniques is evaluated, revealing high accuracy.