I am having a little issue with .tif files. I am sure it is only a minor problem that I can´t get around (keep in mind, I am a relatively new programmer).
Basically: I have prepared .tif files that are 64x64xn in size (n up until 1000). The image is only a single file that contains all of this slices. I would like to load the image into a (multidimensional) numpy array. I have tried:
from PIL import Image as pilimage
file_path=(D:\luca\test\test.tif)
print("The selected stack is a .tif")
dataset = pilimage(file_path)
tiffarray = np.array(dataset)
expim = tiffarray.astype(np.double);
print(expim.shape)
and other things (like tifffile). I only seem to be able to read the first slice of the stack. Is it possible for "expim" to contain all information that is saved in the tiff stack?
PIL has a function seek to move to different slices of a tiff stack.
from PIL import Image
file_path=(D:\luca\test\test.tif)
print("The selected stack is a .tif")
dataset = Image.open(file_path)
h,w = np.shape(dataset)
tiffarray = np.zeros((h,w,dataset.n_frames))
for i in range(dataset.n_frames):
dataset.seek(i)
tiffarray[:,:,i] = np.array(dataset)
expim = tiffarray.astype(np.double);
print(expim.shape)