Displaying Images after feature extraction
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I have a image and have extracted texture features
g=rgb2gray(g);
glcm=graycomatrix(g);
F=graycoprops(glcm,'Contrast','Homogeneity','Correlation','Energy'});
contrast=F.Contrast;
homogeneity=F.Homogeneity;
correlation=F.Correlation;
energy=F.Energy;
now how to display the image as below
in result i have res=[contrast energy homogeneity]
based upon the feature exracted feature result please tell how to apply kmeans on images
Respuestas (1)
Amith Kamath
el 17 de En. de 2013
If you have four images in I, J, K and L, you could do this,
figure
subplot(2,2,1); imshow(I)
subplot(2,2,2); imshow(J)
subplot(2,2,3); imshow(K)
subplot(2,2,4); imshow(L)
As for kmeans, http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=MachineLearning&doc=exercises/ex9/ex9.html may be a good resource to start with.
6 comentarios
FIR
el 18 de En. de 2013
Image Analyst
el 18 de En. de 2013
So what? Your image just had 4 pictures with titles. If you want numbers to be in the title you can do that.
caption = sprintf('Contrast = %.1f', contrast);
title(caption, 'FontSize', 24);
FIR
el 19 de En. de 2013
Image Analyst
el 19 de En. de 2013
images are displayed with imshow().
imshow(yourImage);
Text is displayed with set(), text(), fprintf(), etc.
fprintf('The energy = %.2f', energy);
set(handleToStaticText, 'String', 'Blah blah blah');
I don't know what you consider an energy diagram. Perhaps it's a matrix so you can display with imshow:
imshow(myEnergyDiagram, []);
FIR
el 19 de En. de 2013
Image Analyst
el 19 de En. de 2013
Editada: Image Analyst
el 19 de En. de 2013
Did you see the middle part of my comment above, where I showed you how to display a number as a text label on your GUI or in the command window? P.S., to make it easier on us, you might use Firefox, which has a spell checker built into it. Please proofread your comments because all too frequently they don't make sense:
vale
noun
1. a valley.
2. the world, or mortal or earthly life: this vale of tears.
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Más información sobre k-Means and k-Medoids Clustering en Centro de ayuda y File Exchange.
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