How to draw histogram of hsv image?
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Using imhist we canget histogram of grayscale image. How to draw histogram of hsv image?
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답변 (3개)
  Image Analyst
      
      
 2016년 3월 15일
        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);
댓글 수: 2
  Mario Castro
 2018년 2월 7일
				this code do not show any result at all. HSV values are represented in % and degrees.
  Image Analyst
      
      
 2018년 2월 7일
				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
    
 2016년 3월 15일
        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.
댓글 수: 1
  sya zamani
 2020년 4월 20일
				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
 2019년 6월 18일
        Can i find threshold values using Lab based color histogram? If having code, tell me please!
댓글 수: 1
  Image Analyst
      
      
 2019년 6월 18일
				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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