EM image segmentation

Apllication of EM algorithm to segment a grey scale image on diferent classes

Description

This program gets an image and the desidered number of partitions and fits the image histogram using a mixture of gaussian distributions and provides a clasified image
(mask).

• MATLAB release: MATLAB 6.5.1 (R13SP1)

[Tong Chu]

 

[manas nag]

sir
after executing this it is declaring that k is undefined

[Jason Rebello]

Some people want to know how to view the segmented image. For example suppose you have two classes ie k=2; us the following code to view it
[row col] = size(ima);
final_img = zeros(row,col);
for i=1:row
for j=1:col
if mask(i,j)==1
final_img(i,j)=1;
else
final_img(i,j)=255;
end
end
end
imshow(final_img/255);
This is a naive way of viewing it .. you may have to change somethings if k>2. Anywayz hope it helps. The mask basically stores the segmented image.

[surya]

great job.i am using the same algorithm in my project for x-ray images.can u please tell how to view the segmented image

[prashanth]

Sir, I am starting my project on the same subject. i was unable to find the algorithm psuedocode for em algorithm. kindly send me one at [e-mail]. Also can u just tell me the explanation for the source code..

[maria]

Hi, could you please explain how I can use "mask" to see result of segmentation??

[Patrick]

Greetings Prof., Very nice .. could you please let me know what exactly does the mask variable store ? As what i see it classifies each pixel that falls within each class . Am i correct in that assumption?

Thanks

[darko brajicic]

great job!

[Bilo Bilo]

Thanks

[smiled fisher]

 

[Karthik Raja T]

HI, Greetings,can it for my color image segmentation ?

[Mikel Rodriguez]

 

[carlos mas]

 

[Mohamed Sami]

look when u make a code u must show us the output to see it then u read ur code .. try to explain that with output we can see bye