Displaying Images after feature extraction
Mostra commenti meno recenti
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
Risposte (1)
Amith Kamath
il 17 Gen 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 Commenti
FIR
il 18 Gen 2013
Image Analyst
il 18 Gen 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
il 19 Gen 2013
Image Analyst
il 19 Gen 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
il 19 Gen 2013
Image Analyst
il 19 Gen 2013
Modificato: Image Analyst
il 19 Gen 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.
Categorie
Scopri di più su k-Means and k-Medoids Clustering in Centro assistenza e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!