Analysis of Medical image fusion using Yager's heuristic fuzzy analysis for multiple modes

Abstract

Multi-scale image fusion is one of the most important fusion techniques in which multi-scale fusionand subtraction tools play very important roles. Quaternion wavelet transform (QWT) is one of themost widely used optimization techniques. Therefore, this paper introduces a new multi-modalimage fusion method using QWT and various features. First, we apply QWT to each image to obtainlow coefficients and high coefficients. Secondly, the weighted average fusion rule based on the phaseand amplitude of the low-frequency sub-bands and the spatial variance is proposed to fuse the lowfrequencysub-bands. Then, the highest fusion rule is selected according to the ratio and the powercoefficient is aimed to be combined with high sub-bands. Finally, the final merged image is createdby inverse QWT. This method consists of multifocal images, medical images, high-resolution imagesand remote sensing images. The results of the experiment show the effectiveness of this method.