问题
I'm using python (cv2) to import a .tif file with three layers, but I only seem to be able to import one layer. How can i separately import all three layers?
import cv2
img = cv2.imread('LanB2_KD1P2_31603_gut_2.tif', cv2.IMREAD_COLOR)
#extract blue channel
blue_channel = img[:,:,0]
#write blue channel to greyscale image
cv2.imwrite('blue_channel.jpg',blue_channel)
this extracts the blue channel from the first layer but idk how to get the other layers
回答1:
You can simply use cv2.split
for splitting image channels.
import cv2
img = cv2.imread('LanB2_KD1P2_31603_gut_2.tif', cv2.IMREAD_COLOR)
b,g,r=cv2.split(img)
### saving files
cv2.imwrite('blue_channel.jpg', b)
cv2.imwrite('green_channel.jpg',g)
cv2.imwrite('red_channel.jpg',r)
EDIT 1: If you want to split multiple images in a TIF file and save as them as separate files as suggested by @fmw42 , here is the code for that.
import os
from PIL import Image
def tifToImage(tifPath,imageFormat,folderPath):
""" Function to convert tif to image
Args:
tifPath (str): path of input tif
imageFormat (str): format to save image
folderPath (str): Folder to save images
Returns:
int: 0 if successful
"""
print('tiftoimage: {}'.format(tifPath))
sep='/' if '/' in tifPath else '\\'
fileName=tifPath.split(sep)[-1][:-4]
### Loading tiff image
tiffstack= Image.open(tifPath)
tiffstack.load()
### Saving each image to output folder
for i in range(tiffstack.n_frames):
tiffstack.seek(i)
pageName= fileName + '_{:05d}.{}'.format(i+1,imageFormat)
imagePath = os.path.join(folderPath,pageName)
tiffstack.save(imagePath)
return 0
The function call will be something like
tifToImage('LanB2_KD1P2_31603_gut_2.tif','jpg','out_folder')
来源:https://stackoverflow.com/questions/63092811/how-to-import-multiple-layers-from-tif-file-with-opencv