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An Improved Image Fusion Algorithm On MRI And CT Image using Wavelet Transform

Author(s):

Roshan P. Helonde , H.V.P.M's College of Engineering and Technology, Amravati.; Prof. M. R. Joshi, H.V.P.M's College of Engineering and Technology, Amravati.

Keywords:

MRI Image, CT Image, Image Fusion, Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA)

Abstract

Image fusion is the technique of merging several images from multi-modal sources with respective complementary information to form a new image, which carries all the common as well as complementary features of individual images. Image fusion provides an effective way of reducing this increasing volume of information by extracting all the useful information from the source images. Image fusion creates new images that are more suitable for the purposes of human/machine perception, and for further image-processing tasks such as segmentation, object detection or target recognition in applications such as remote sensing and medical imaging. The overall objective is to improve the results by combining DWT with PCA and non-linear enhancement. The proposed algorithm is designed and implemented in MATLAB using image processing toolbox. The comparison has shown that the proposed algorithm provides a significant improvement over the existing fusion techniques.

Other Details

Paper ID: IJSRDV3I30427
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 340-343

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