Click Here for
Track Your Paper
ISSN:2454-4116

International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

Digital Image Fusion using Adaptive Neuro-Fuzzy Inference System

( Volume 2 Issue 5,May 2016 ) OPEN ACCESS
Author(s):

Shraddha Shukla , Rohit Raja

Abstract:

Image fusion is a process that combines information from multiple images of the same scene and resultant image retains the most desirable information and characteristics of input images. Image fusion can extend the range of operation, reduced uncertainty and increased reliability. In the medical imaging field,  different images of the same part of the same patient with different imaging devices, and the information provided by a variety of imaging modes is often complementary each others . The fused image provides additional information that can be utilized for more precise localization of abnormalities. This paper presents study on digital image fusion , proposed model for fusion of images using ANFIS , implement and evaluate performance.  This proposed model is for medical images (CT and MRI) as well as color  images.

Paper Statistics:

Total View : 719 | Downloads : 710 | Page No: 101-104 |

Cite this Article:
Click here to get all Styles of Citation using DOI of the article.