Polar to cartesian in python1/4/2023 ![]() Someone also pointed out that may be in looping over b and s I am overwriting f 360*1024 times and only the last one is used. Im = Image.open("Fanbeamreconstruction.png") If some points have same polar angles, then arrange them based on the distance of that point from the origin. The polar angles vary in range 0 and 2PI. We have to sort them based on their polar angles. I8 = (((I - I.min()) / (I.max() - I.min())) * 255.9).astype(np.uint8) Suppose we have a set of Cartesian points in a list called points. Z = scipy.io.loadmat('/home/prakriti/Project/C.mat')į = np.zeros((1024,90)) #In polar co-ordinate Y = scipy.io.loadmat('/home/prakriti/Project/B.mat') X = scipy.io.loadmat('/home/prakriti/Project/A.mat') Is there any other way to avoid these loops? I haven't been able to display the image until now. I am new to Python and I guess my algorithm seems to slow down the execution. And after that I am converting the image to grayscale. But when I had it as (0,725) earlier, it showed me error "dividing with zero" as I use atany(y/x). I have set the range of x and y as (1,726). The image in the Cartesian coordinate is of dimension 725*725. ![]() ![]() In the second I am converting the image from polar coordinate to Cartesian coordinate. h is a filter that I have used in the first loop. def polar2cart(r, theta, center): x r np.cos(theta) + center0 y r np. f where r varies from 0 to 1024 and phi varies from 0 to 90. The first loop gives me f in the polar-coordinate. This is the value of the projection data given to me. I am first making a matrix of dimension 1024*360. ![]() This code is actually for image processing. My data is on a spherical polar (r, theta) grid, and Im trying to interpolate functions similar to the vector components of a dipole field. I am working on something that requires the polar transformation of some images.I have the following code which has too many loops inside it (almost 13 billion). Hi all, Ive been having some trouble doing 2D interpolation with both interp2d and bisplrep/bisplev. ![]()
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