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# How can i implement this code?

Asked by Tomas on 17 Oct 2012

Hi

I'm looking for a matlab code which estimates the two principal directions (axes) using principal components analysis (PCA)?? Then any an other algorithm can be applied to estimate the asymmetry of the region of image in terms of the two principal axis. I tried several times to implement it and I looked everywhere to no avail. Now I ask my question on this forum hoping to get the right answer. thanks

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Answer by SACHIN GANJARE on 17 Oct 2012

## 1 Comment

Tomas on 17 Oct 2012

thank you for this link. I visited it but since I'm a beginner in matlab I have not got to use these concepts to draw the axes of the region in the segmented image and estimate the asymmetry.

Answer by Tomas on 17 Oct 2012
Edited by Tomas on 18 Oct 2012

I tried to do this code but i need your help please

```I2=segmentation(I);
[n m] = size(I2);
AMean = mean(I2);
co=I2*I2'; % Compute the covariance matrix (co)
% Compute the eigen values and eigen vectors of the covariance matrix
[eigvector,eigvl]=eig(co);
eigvalue = diag(eigvl);
pc = eigvector * I2;
plot(pc(1,:),pc(2,:))
```

Matt Kindig on 18 Oct 2012

Tomas on 18 Oct 2012

Hi

I'm looking for a matlab code which estimates the two principal directions (axes) using principal components analysis (PCA)?? Then any an other algorithm can be applied to estimate the asymmetry of the region of interest of the segmented image in terms of the two principal axis. I tried to do this code but it doesn't work so i need your help.

Answer by Tomas on 18 Oct 2012
Edited by Tomas on 18 Oct 2012

Hi, Can any one please correct this code

```A=imread('aeroplane silhouette.png');
bw=~im2bw(A,0.5); %Threshold and invert
subplot(1,2,1), imshow(bw,[]);
[y,x]=find(bw>0.5); %Get coordinates of non zero pixels
centroid=mean([x y]); %Get (centroid) of data
hold on; plot(centroid(1),centroid(2),'rd'); %Plot shape centroid
C=cov([x y]); %Calculate covariance of coordinates
[U,S]=eig(C)
m=U(2,1)./U(1,1);
const=centroid(2)/m.*centroid(1);
xl=50:450; yl=m.*xl+const
subplot(1,2,2), imshow(bw,[]); h=line(xl,yl); %Display image and axes
set(h,'Color',[1 0 0],'LineWidth',2.0)
m2=U(2,2)./U(1,2);
const=centroid(2)/m2.*centroid(1);
x2=50:450; y2=m2.*x2+const
h=line(x2,y2);
set(h,'Color',[1 0 0], 'LineWidth',2.0)
```

you find the images here

http://img15.hostingpics.net/pics/679738aeroplanesilhouette.png

http://img15.hostingpics.net/pics/171229plane.png