Medical Image Fusion Using Fuzzy Logic and DHT Based Feature Extraction

Abstract

Abstract

The traditional medical image fusion techniques suffer from various issues such as these techniques did not detect the relevant information from the image as the whole image is considered as important whether it is meaningful to the user or not. Thus a novel fuzzy based image fusion technique is developed in this work to fuse the MRI and PET images. Before fusing the images, the 2DHT, HIS transformation and ROI is applied to the input images and then the image fusion is done on the basis of the selected ROI from the PET images. A comparison analysis of proposed and traditional image fusion techniques is driven in the terms of discrepancy value, average gradient and overall performance. After simulating the work, it is observed that the proposed work outperforms the traditional techniques. To ensure the quality of the performance of the proposed work, the analysis is also done by considering the 100 various sample images.

Keywords: Image Fusion, Medical Images, 2DHT, IHS transformation, Fuzzy Inference System.