Multimodal Medical Image Fusion using Neighbouring Pixel Selection

Abstract

Medical data analysis from different medical image sensor has been increased in medical field. The image fusion techniques which are the efficient way of adding and improving medical imaging information have drawn increasing concentration from the medical society. In this paper, we proposed a new scheme of Neighbouring Pixel Selection (NPS) fusion rule for laplacian pyramidal multiscale decomposition-based fusion of medical images considering the consistency verification of both intrascale and interscale parameters. A combining set of coefficients from the Multiscale Representations (MSR) of the source images is computed by utilization of neighborhoodinformation.An efficient fusion scheme is also proposed for different modalities.Experimental results show that proposed method produces better results than the existing methods.