Pixel Differnce Histogram Plotting.

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Mostfa Abd El-Aziz
Mostfa Abd El-Aziz 2022-11-23
评论： Image Analyst 2022-11-28
How to plot histogram for (PDH) analysis like in the attached image

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回答（1 个）

Image Analyst
Image Analyst 2022-11-24
You can use histogram or, if you already have the counts (like from histcounts) then use bar.
The title function was also used to put a caption above those plots.
  2 个评论
Mostfa Abd El-Aziz
Mostfa Abd El-Aziz 2022-11-28
Dear Image Analyst,
Can you provide me an example of this sugessted code please??
Image Analyst
Image Analyst 2022-11-28
Ran in:
There are examples in the documentation for the functions. You'll see things like this
yourGrayScaleImage = imread('lena_grayscale.jpg');
% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(yourGrayScaleImage)
rows = 512
columns = 512
numberOfColorChannels = 1
%--------------------------------------------------------------------------------------------------------
% Convert to grayscale if it's not already
if numberOfColorChannels > 1
% It's not really gray scale like we expected - it's color.
fprintf('It is not really gray scale like we expected - it is color\n');
% Extract the blue channel.
yourGrayScaleImage = yourGrayScaleImage(:, :, 3);
% Update the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(yourGrayScaleImage)
end
% Display image.
subplot(2, 1, 1);
imshow(yourGrayScaleImage);
title('Cover')
% Take histogram.
[counts, edges] = histcounts(yourGrayScaleImage, 256);
% Plot Histogram
subplot(2, 1, 2);
bar(edges(1:end-1), counts, 1);
grid on;
title('PDH of Cover')
xlabel('Gray Level')
ylabel('Count')

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