Hi Shima Shafiee

you can write a program in MATLAB :

scale = 0.5; % 0.5 cm per pixel

X_distance = 10.97;

Y_distance = 14.712;

X_pixel = round(X_distance / scale);

Y_pixel = round(Y_distance / scale);

disp(['X_pixel: ', num2str(X_pixel)]);

disp(['Y_pixel: ', num2str(Y_pixel)]);

Write With Pythone :

scale = 0.5 # 0.5 cm per pixel

X_distance = 10.97

Y_distance = 14.712

X_pixel = round(X_distance / scale)

Y_pixel = round(Y_distance / scale)

print(f"X_pixel: {X_pixel}")

print(f"Y_pixel: {Y_pixel}")

Good Luck

To convert distance coordinates (X, Y, Z) into pixel coordinates, you would need additional information about the mapping between distance coordinates and pixel coordinates. Specifically, you'd need to know the scale or resolution of your imaging system or environment, and the reference point (the origin) for the coordinates.

Let's assume you have the following information:

With this information, you can convert distance coordinates (X, Y, Z) to pixel coordinates (x, y) using the formula attached in the PDF.

Thanks, dear Hassan Nazeer Chaudhry

your explanation is certainly effective.

Yousef Bahrambeigi

thanks from sharing

visit this

https://www.mathworks.com/matlabcentral/answers/19402-finding-coordinates-through-distance-formulation

Thanks for sharing

see this

https://www.mathworks.com/matlabcentral/answers/516723-how-to-get-the-same-pixel-points-in-an-image-using-euclidean-distance-when-the-image-is-scaled-up-or