International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,June 2016,

Topic : Image Fusion: Different Methods and Performance Evaluation Metrics

Authors:Parveen Saini || Rama Rao , Shraddha Panbude

Abstract:Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical images for diagnosis and assessment of medical problems. Multi-modal medical image fusion algorithms and devices have shown notable achievements in improving clinical accuracy of decisions based on medical images. This paper explains the concept of image fusion. It explains how image fusion is advantageous. In this paper different techniques have been reviewed for combining multispectral images available. It includes IHS transform, High Pass filtering, PCA analysis, Wavelet transform and DCT, Graph Cut method..

Keywords: Image fusion techniques, Wavelet method, Graph cut method

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DOI: 01.1617/vol3iss6pid346


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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