How to plot intensity profile of an image
119 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Viron Gil Estrada
am 22 Mär. 2018
Kommentiert: Vivek
am 10 Aug. 2022
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?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/171453/image.png)
1 Kommentar
Walter Roberson
am 22 Mär. 2018
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.
Akzeptierte Antwort
Akira Agata
am 22 Mär. 2018
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')
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/180306/image.png)
5 Kommentare
Warid Islam
am 9 Jul. 2019
Hi,
How can we plot the intensity profile of the same image along the vertical direction instead of the horizontal direction? Thank you.
Weitere Antworten (4)
Akira Agata
am 9 Jul. 2019
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](https://www.mathworks.com/matlabcentral/answers/uploaded_files/228316/Capture2.png)
4 Kommentare
Vivek
am 10 Aug. 2022
Hi Akira San,How Can you plot the 1D profile of a rectangular region instead of just line ?Tx,vivek
Lorenzo Gentili
am 20 Aug. 2019
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](https://www.mathworks.com/matlabcentral/answers/uploaded_files/234655/untitled1.png)
![untitled1.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/234655/untitled1.png)
4 Kommentare
Image Analyst
am 3 Mär. 2022
Bearbeitet: Image Analyst
am 3 Mär. 2022
@YOGITAA YOGITAA, here is the code:
verticalProfile = mean(grayImage(:, column1:column2), 2);
horizontalProfile = mean(grayImage(row1:row2, :), 1);
r r
am 15 Mai 2020
Bearbeitet: Walter Roberson
am 16 Mai 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 Kommentar
Walter Roberson
am 16 Mai 2020
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
fransec
am 9 Jun. 2020
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 Kommentare
Walter Roberson
am 9 Jun. 2020
[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
Christopher Gordon
am 22 Feb. 2021
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?
Siehe auch
Kategorien
Mehr zu Surface and Mesh Plots finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!