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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

wavelet based image fusion for the detection of brain tumor matlab code ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

To get information about image fusion refer the page link below

http://seminarsprojects.net/Thread-image-fusion

To get information about image fusion refer the page link below

http://seminarsprojects.net/Thread-image-fusion ....etc

[:=Read Full Message Here=:]

Fusion of two images
Syntax
XFUS = wfusimg(X1,X2,WNAME,LEVEL,AFUSMETH,DFUSMETH)
= wfusimg(X1,X2,WNAME,LEVEL,AFUSMETH,DFUSMETH)
wfusimg(X1,X2,WNAME,LEVEL,AFUSMETH,DFUSMETH,FLAGPLOT)

Description
The principle of image fusion using wavelets is to merge the wavelet decompositions of the two original images using fusion methods applied to approximations coefficients and details coefficients (see Zeeuw and Misiti et al.).

XFUS = wfusimg(X1,X2,WNAME,LEVEL,AFUSMETH,DFUSMETH) returns the fused image XFUS obtained by fusio ....etc

[:=Read Full Message Here=:]