How to plot intensity profile of an image

I want to plot the intensity profile of this image. I tried using improfile but I don't really know how it works. Can anyone help?

1 Comment

An intensity profile along which direction?
If you want a profile along a horizontal or vertical line then just use array indexing to extract the vector, and then plot it.

Sign in to comment.

 Accepted Answer

Like this?
I = imread('Capture.PNG');
x = [0 size(I,2)];
y = [size(I,1)/2 size(I,1)/2];
c = improfile(I,x,y);
figure
subplot(2,1,1)
imshow(I)
hold on
plot(x,y,'r')
subplot(2,1,2)
plot(c(:,1,1),'r')
hold on
plot(c(:,1,2),'g')
plot(c(:,1,3),'b')

5 Comments

Yes! Exactly like that. Would it also work if I change the image to grayscale? Thanks
Thanks, I'm glad to hear that!
If you use grayscale image, improfile function returns N-by-1 vector. So you should change the last 4 lines by plot(c).
Thanks a lot! That's all I need.
Hi,
How can we plot the intensity profile of the same image along the vertical direction instead of the horizontal direction? Thank you.
How can we measure the areas under these curves?

Sign in to comment.

More Answers (4)

Hi Warid-san,
You can do it by the same way, like the following.
I = imread('Capture.PNG');
% Since size(I,2)/2 = 215.5, I have set the value '215' directly for x
x = [215 215];
y = [0 size(I,1)];
c = improfile(I,x,y);
figure
subplot(2,1,1)
imshow(I);
hold on
plot(x,y,'r')
subplot(2,1,2)
plot(c(:,1,1),'r')
hold on
plot(c(:,1,2),'g')
plot(c(:,1,3),'b')
Capture2.PNG

4 Comments

Hi Akira,
Thank you very much for the help.
Hi,
if there are more than one spot, say 5 (randomly distributed), then how to plot the intensity across all of them?
Thanks
Hi Manoj-san,
Could you upload a sample image file for trying?
Hi Akira San,How Can you plot the 1D profile of a rectangular region instead of just line ?Tx,vivek

Sign in to comment.

Hi Akira,
I'm trying to obtain an intesity profile of the image below, but I need more than a line. I would like to have at least 5 vertical line in order to understand how the intesity vary in different point of the image ( lets say the 2 boundaries, the center and 2 point between the boundaries and the center). Is it possible to obtain an unique intensity profile that is the sum of 5 intesity profile obtained by the verical lines ?
Thank you for your help
Lorenzo untitled1.png

4 Comments

To get a mean vertical profile between two columns:
verticalProfile = mean(grayImage(:, column1:column2), 2);
To get a mean horizontal profile between two rows:
horizontalProfile = mean(grayImage(row1:row2, :), 1);
Thank you for your answer.
could ypu please share your code, i have the same problem
@YOGITAA YOGITAA, here is the code:
verticalProfile = mean(grayImage(:, column1:column2), 2);
horizontalProfile = mean(grayImage(row1:row2, :), 1);

Sign in to comment.

r r
r r on 15 May 2020
Edited: Walter Roberson on 16 May 2020
I have image of a tumor in it and I want to do it the same way https://www.mathworks.com/matlabcentral/answers/389889-how-to-plot-intensity-profile-of-an-image
, but every time the response is
'improfile' requires Image Processing Toolbox.
Error in line (line 4)
c = improfile(I,x,y);

1 Comment

You need the Image Processing Toolbox to use improfile()
improfile() uses linspace() to create vectors of coordinates between the two endpoints, and uses interp2() to interpolate at the coordinates; it does the interpolation once for each color channel.
The question then becomes what coordinates you should interplate at

Sign in to comment.

Hello everybody,
Anyone knows how to make an image profile like ones you showed, but but along the diagonal of an image?
Thank you so much.

2 Comments

[rows, cols, ~] = size(YourImage);
n = min(rows,cols);
prof_diag = improfile(YourImage, [1 n], [1 n]); %diagonal
prof_antidiag = improfile(YourImage, [n 1], [1 n]); %anti-diagonal
Hey! Question along the same lines. I have 30 vertical lines across a 1024 column image/matrix. Is there a way that I can interpolate/extrapolate the remaining columns to get the entire image/matrix?

Sign in to comment.

Categories

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!