How to draw histogram of hsv image?

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kalyani bedekar
kalyani bedekar el 15 de Mzo. de 2016
Comentada: sya zamani el 20 de Abr. de 2020
Using imhist we canget histogram of grayscale image. How to draw histogram of hsv image?

Respuestas (3)

Image Analyst
Image Analyst el 15 de Mzo. de 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 comentarios
Image Analyst
Image Analyst el 7 de Feb. de 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);

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Anand
Anand el 15 de Mzo. de 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 comentario
sya zamani
sya zamani el 20 de Abr. de 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.

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Yoon Thiri Zaw
Yoon Thiri Zaw el 18 de Jun. de 2019
Can i find threshold values using Lab based color histogram? If having code, tell me please!
  1 comentario
Image Analyst
Image Analyst el 18 de Jun. de 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.

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