How to draw histogram of hsv image?
26 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Using imhist we canget histogram of grayscale image. How to draw histogram of hsv image?
0 commentaires
Réponses (3)
Image Analyst
le 15 Mar 2016
Try this
hsvImage = rgb2hsv(rgbImage);
hImage = hsvImage(:, :, 1);
sImage = hsvImage(:, :, 2);
vImage = hsvImage(:, :, 3);
figure;
subplot(2,2,1);
hHist = histogram(hImage);
subplot(2,2,2);
sHist = histogram(sImage);
subplot(2,2,3);
vHist = histogram(vImage);
2 commentaires
Mario Castro
le 7 Fév 2018
this code do not show any result at all. HSV values are represented in % and degrees.
Image Analyst
le 7 Fév 2018
Of course it does. Did you even run the code? You need to have rgbImage already read in. Here, here is a more complete demo:
rgbImage = imread('peppers.png');
hsvImage = rgb2hsv(rgbImage);
hImage = hsvImage(:, :, 1);
sImage = hsvImage(:, :, 2);
vImage = hsvImage(:, :, 3);
figure;
subplot(2,2,1);
hHist = histogram(hImage);
grid on;
title('Hue Histogram');
subplot(2,2,2);
sHist = histogram(sImage);
grid on;
title('Saturation Histogram');
subplot(2,2,3);
vHist = histogram(vImage);
grid on;
title('Value Histogram');
subplot(2,2,4);
imshow(rgbImage);
Anand
le 15 Mar 2016
If you need the histogram only for visualization purposes, you can obtain it using the colorThresholder app.
Open the RGB image in the colorThresholder app and select the HSV color space. The right-hand pane will show histograms in H,S and V.
Open the image in the Color Thresholder:
>> colorThresholder(rgbImage)
Select HSV Color space.
1 commentaire
sya zamani
le 20 Avr 2020
Hi Anand, Sorry for the late question, do you know how to display the HSV histogram as shown in the colorThresholder app? Thanks in advance.
Yoon Thiri Zaw
le 18 Juin 2019
Can i find threshold values using Lab based color histogram? If having code, tell me please!
1 commentaire
Image Analyst
le 18 Juin 2019
Depends on what threshold divides your color channel into foreground and background. No one can tell without seeing your image and an explanation of what you want (foreground) and what you don't want (background) to segment.
Voir également
Catégories
En savoir plus sur Image Processing Toolbox dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!