Integrating Two Unrelated Values

Hi!

I am trying to integrate two different series that correlate to the same image. I was able to obtain X, Y, and Z values for an image in which the x-values correlate with length, the y-values correlate with width, and the z-values correlate with intensity. However, because these measurements are taken across a rectangular ROI, there are 528 x-values (length) and 504 y-values (width), as the object resembles 1/2 of an ellipse.

I would like the integrate these values so that I can plot (length x width x intensity) for my given shape. I have tried to integrate these values by plotting them on the same scatterplot, however I am not having a lot of sucess. I also am not having any luck finding code that will allow me to integrate these values.

Does anyone know an effective way to integrate two "unrelated" values?

[Torsten]

Please include your data and your code. Your description of the problem is not helpful - maybe it's a language problem.

Answer 1

[Karan Singh]

Hi Isabella,

It is very much not clear without the data being provided from your end. I am not able to get what these x and y values are and how you would like to visualize the same. However, taking everything to its basics, we can create a "surf" if it suits your case. You can definitely provide some more data for accurate suggestions. Here is my general go at a random "surf":

% Sample data (replace these with your actual X, Y, Z values)
x = linspace(0, 527, 528);  % Length
y = linspace(0, 503, 504);  % Width
z = rand(528, 504);         % Intensity (Replace with your actual data)

% Create a meshgrid
[X, Y] = meshgrid(x, y);

% Transpose Z to match the shape of X and Y
Z = z';

% Create a 3D surface plot
figure;
surf(X, Y, Z);

% Add color bar
colorbar;

% Add labels
xlabel('Length');
ylabel('Width');
zlabel('Intensity');

% Set a colormap
colormap('jet');

% Adjust view angle
view(3);

% Show the plot
shading interp;