How to count each colour pixel of an image?

1 vue (au cours des 30 derniers jours)
muhaimin mahfudz
muhaimin mahfudz le 30 Sep 2018
Commenté : Image Analyst le 2 Oct 2018
I am trying to quantify the value of of each matter of the brain using matlab. I have segmented the image and result as shown below.
  2 commentaires
Akira Agata
Akira Agata le 30 Sep 2018
Modifié(e) : Akira Agata le 30 Sep 2018

Is it a result of k-means clustering? If so, you can count each color pixel easily by using the output variable of kmeans function.

muhaimin mahfudz
muhaimin mahfudz le 1 Oct 2018
Modifié(e) : muhaimin mahfudz le 1 Oct 2018
yes it is. I see, in conclusion i can just obtain the values from there as it is the value of each segmented color?

Connectez-vous pour commenter.

Connectez-vous pour répondre à cette question.

Réponse acceptée

Image Analyst
Image Analyst le 30 Sep 2018

Take the histogram of your segmented/classified image

counts = imhist(classifiedImage);

Each class will have a certain value, like gray matter is 1, background is 0, white material is 2, etc. imhist() simply counts the pixels in each class.

  3 commentaires
Afficher 1 commentaire plus ancien
Image Analyst
Image Analyst le 1 Oct 2018
imhist() will do it. You pass in the classified image, not an RGB image, but the image you got from kmeans. See attached demo.
Image Analyst
Image Analyst le 2 Oct 2018
Do you still not understand? If so, give me the script you used to create that image along with the original image.

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur 3-D Volumetric Image Processing dans Help Center et File Exchange

Tags

Produits

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by