25-06-2012, 05:46 PM
MAIN PROJECT : IMAGE FUSION USING MATLAB
IMAGE FUSION USING MATLAB.pptx (Size: 64.15 KB / Downloads: 95)
Introduction
Image fusion
A technique that integrates complementary information from multiple image sensor data such that the new image are more suitable for processing tasks.
An image pyramid can be described as collection of low- or band-pass copies of an original image in which both the band limit and sample density are reduced in regular steps.
The basic strategy of image fusion based on pyramids is to use a feature selection rule to construct a fused pyramid representation from the pyramid representations of the original data. The composite image is obtained by taking an inverse pyramid transform.
DECISION RULE BASED IMAGE FUSION USING WAVELET TRANSFORM
In recent years, many solutions to image fusion have been proposed.
This paper presents an effective multi-resolution image fusion methodology, which is wavelet based image fusion.
Fusion process is applied in the clinical case: the study of some particular disease by MR/SPECT fusion.
The effectiveness of the proposed model is demonstrated via results comparison with several other image fusion methods.
Wavelet Transform
What is wavelet Transform:
Wavelet Transform is a type of signal representation that can give the frequency content of the signal at a particular instant of time.
Why need wavelet transform?
Wavelet analysis has advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.