How to draw histogram of hsv image?

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kalyani bedekar
kalyani bedekar 2016-3-15
评论： sya zamani 2020-4-20
Using imhist we canget histogram of grayscale image. How to draw histogram of hsv image?

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回答（3 个）

Image Analyst
Image Analyst 2016-3-15
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 个评论
Mario Castro
Mario Castro 2018-2-7
this code do not show any result at all. HSV values are represented in % and degrees.
Image Analyst
Image Analyst 2018-2-7
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 2016-3-15
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 个评论
sya zamani
sya zamani 2020-4-20
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 2019-6-18
Can i find threshold values using Lab based color histogram? If having code, tell me please!
  1 个评论
Image Analyst
Image Analyst 2019-6-18
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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