Principle Component Analysis PCA is a classical feature extraction and data representation technique
widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has
drawback of high computational especially for big size database. This paper conducts a study to optimize
the time complexity of PCA (eigenfaces) that does not affects the recognition performance. The authors
minimize the participated eigenvectors which consequently decreases the computational time. A
comparison is done to compare ....etc

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hai,
kindly give matlab code for image fusion technique using wavelet include maximum selection rule, weighted average rule and window based verification.
thanking you
....etc

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IM A FINAL YEAR STUDENT DOING ME - APPLIED ELECTRONICS ,IM DOING PROJECT RELATED TO BREAST CANCER.THUS I WANTED TO KNOW HOW SVM AS A CLASSIFIER AND PCA AS A FEATURE EXTRACTOR WORKS. ....etc

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To get full information or details of image fusion using wavelet transform matlab code please have a look on the pages

http://seminarsprojects.net/Thread-fusion-of-mr-and-ct-images-using-the-wavelet-transform

if you again feel trouble on image fusion using wavelet transform matlab code please reply in that page and ask specific fields in image fusion using wavelet transform matlab code ....etc

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Matlab code for Pixel level Image fusion using Minimum Method

The minimum selecting method, being yet another trivial image fusion method, is very similar to the Maximum Selection method; except for, here, the selection criteria differs as the pixel with minimum density is picked up. Thus, for every pixel position, the pixel of the fused image will be the pixel of the corresponding position from the input set of images having the least pixel intensity value. Similar to the Maximum Selection method, this method to either completely considers th ....etc

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i need matlab code for digital video watermarking using dwt and pca ....etc

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I want matlab code to apply PCA on KDDCUP 99 for feature reduction ....etc

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Plz, help me with the PCA code for doing image fusion. i need the program with an example. i tried for cameraman image but getting the output as complete black. i blurred it at two different places so i hav i1 n i2 which are blurred images which i converted to zero mean images i_1 n i_2.This is my program. what to do next?

clc;
close all;
clear all;
f1=imread('cameraman.tif');
figure(1);
imshow(f1);
=size(f1);
f1=im2double(f1);
level=input('enter the level of blur');
degradation=fspecial('average',);
i1=f1;
....etc

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Abstract

Face recognition is taken into account to be some of the dependable biometric, when safety points are taken into concern. For this, function extraction turns into a crucial drawback. Different strategies are used for extraction of facial function that are broadly categorized into linear and nonlinear subspaces. Among the linear strategies are Linear Discriminant Analysis (LDA), Bayesian Methods (MAP and ML), Discriminative Common Vectors (DCV), Independent Component Analysis (ICA), Tensor faces Multi-Linear Singular Value Decompositio ....etc

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matlab code image fusion using neural network

Abstract: Nonsubsampled contourlet transform (NSCT) provides flexible multiresolution, anisotropy and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome the pseudo-Gibbs phenomena around singularities. Pulse Coupled Neural Networks (PCNN) is a visual cortex-inspired neural network and characterized by the global coupling and pulse synchronization of neurons. It has been proven suitable for image processing and successfully emplo ....etc

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