Open AccessStatistical Testing of Different Fusion Techniques on MRI & CT Images
Author(s) -
A Somasekhar*,
P Subbaiah
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6071.098319
Subject(s) - misrepresentation , computer science , standard deviation , modalities , sensor fusion , entropy (arrow of time) , image fusion , artificial intelligence , fusion , data mining , pattern recognition (psychology) , image (mathematics) , statistics , mathematics , social science , linguistics , physics , philosophy , quantum mechanics , sociology , political science , law
Image fusion unites data from various modalities of identical prospect in to a single data retaining the significant and necessary features from each of the unique image. These days, with the hasty progress in high end technologies with contemporary instruments, has turn out to be a essential factor of a outsized numeral of applications, plus analysis, examine, and handling. Image fusion on medical field is the initiative progress of the picture substance by integrating data took from dissimilar picture tools like CT, MRI. MRI gives enhanced data on malleable hankie with lot of misrepresentation. But, one sort of picture might not be adequate to afford precise scientific necessities for the physicians. Therefore, the fusion of the different medicinal pictures is essential. In this work Static analysis of diverse fusion techniques are done with the help of parameters like Mean, Entropy, Correlation coefficient, Standard deviation, and covariance