Hi Vaishali Karunanithi,

for a simple, threshold based, segmentation you could do:

I = imread('rice.png');

figure, imshow(I)

BW = im2bw(I, graythresh(I));

CC = bwconncomp(BW);

L = labelmatrix(CC);

RGB = label2rgb(L);

figure, imshow(RGB)

you can also use regionprops(..) to get properties of the segments:

s = regionprops(BW, 'centroid');

centroids = cat(1, s.Centroid);

imshow(BW)

hold on

plot(centroids(:,1), centroids(:,2), 'b*')

hold off

It's probably best to read the documentation about the functions above, since MATLAB documentation is quite good imho.

hope that helps

cheers

I have a code but its a very crude method in which we first perform RGB-> HSI csc and then since the code used for us was for the cricket matched hence the green field is segmented .....if u need then i will post the code

Hi Vaishali Karunanithi,

for a simple, threshold based, segmentation you could do:

I = imread('rice.png');

figure, imshow(I)

BW = im2bw(I, graythresh(I));

CC = bwconncomp(BW);

L = labelmatrix(CC);

RGB = label2rgb(L);

figure, imshow(RGB)

you can also use regionprops(..) to get properties of the segments:

s = regionprops(BW, 'centroid');

centroids = cat(1, s.Centroid);

imshow(BW)

hold on

plot(centroids(:,1), centroids(:,2), 'b*')

hold off

It's probably best to read the documentation about the functions above, since MATLAB documentation is quite good imho.

hope that helps

cheers

Hi Vishali,

Image segmentation is a very broad subject. Matlab has so many different methods and examples. It all depends on your end goal and the subject that you are segmenting. You could use threshold, edge detection, seeding, etc.

In http://personales.upv.es/jmanjon/, José Vicente Manjón publish some matab Code for segmentación

Yeah, Segmentation also depends on image sematics so the type of image and what you are looking for matters. It is an experimental process so you can try as mentioned above. Good luck:)

Dear Vaishali,

as the other answers already imply image segmentation is a very broad subject and there is no general method available in matlab. Anyway, a good start is the K-Means approach that is available in the Image Processing Toolbox. Another good starting point is Matlab Central where you may find a bunch of methods that might fit to your question:

http://www.mathworks.com/matlabcentral/fileexchange/

If you are interested in brain image segmentation I can also recommend the code from José Vicente Manjón (suggested above by Montserrat) or from Jussi Tohka:

http://www.cs.tut.fi/~jupeto/software.html

Best,

Christian

@Prashant : You can please post the codes for the field segmentation. I tried segmenting farmlands so i think i can try your codes too. Thanks.

Yes, please post the code.

can you provide the matlab code for brain tumor segmentation