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How can i convert the first image(Red) like the second one(Black)?

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siet ece
siet ece 2021-8-1
评论： siet ece 2021-8-2
  2 个评论
Rik
Rik 2021-8-1
You want to fit a certain function to your data. What have you tried so far?
siet ece
siet ece 2021-8-1
cover=imread('Lenna.png');
coverplane1=int32(cover(:,:,1));
for i=1:512
for j=1:511
PixelDiffOriginal(i,1:511)=coverplane1(i,j)-coverplane1(i,j+1);
end
end
[N1,edges1]=histcounts(PixelDiffOriginal);
edges1=edges1(2:end)-(edges1(2)-edges1(1))/2;
plot(edges1,N1);
%% i just tried to plot a graph(black graph) but i got the red graph, how can i obtain the black graph?

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采纳的回答

Image Analyst
Image Analyst 2021-8-1
Use plot() instead of stem().
  5 个评论
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Image Analyst
Image Analyst 2021-8-2
The black curve in your original post doesn't look smooth to me. But anyway, you can smooth the data and then plot the smoothed data with a sliding polynomial fit filter, sgolayfilt() in the Signal Processing Toolbox.
polynomialOrder = 2; % Larger for less smoothing.
windowWidth = 7; % Larger for more smoothing.
smoothedSignal = sgolayfilt(signal, polynomialOrder, windowWidth);
plot(smoothedSignal, 'b-', 'LineWidth', 3);
grid on;
title('Smoothed Signal', 'FontSize', 20);
If you don't have sgolayfilt(), try movmean().

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