How to draw histogram of hsv image?

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kalyani bedekar
kalyani bedekar am 15 Mär. 2016
Kommentiert: sya zamani am 20 Apr. 2020
Using imhist we canget histogram of grayscale image. How to draw histogram of hsv image?

Antworten (3)

Image Analyst
Image Analyst am 15 Mär. 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 Kommentare
Mario Castro
Mario Castro am 7 Feb. 2018
this code do not show any result at all. HSV values are represented in % and degrees.
Image Analyst
Image Analyst am 7 Feb. 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 am 15 Mär. 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 Kommentar
sya zamani
sya zamani am 20 Apr. 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 am 18 Jun. 2019
Can i find threshold values using Lab based color histogram? If having code, tell me please!
  1 Kommentar
Image Analyst
Image Analyst am 18 Jun. 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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