OpenCV – Reading a 16 bit grayscale image
Question:
I’m trying to read a 16 bit grayscale image using OpenCV 2.4 in Python, but it seems to be loading it as 8 bit.
I’m doing:
im = cv2.imread(path,0)
print im
[[25 25 28 ..., 0 0 0]
[ 0 0 0 ..., 0 0 0]
[ 0 0 0 ..., 0 0 0]
...,
How do I get it as 16 bit?
Answers:
Figured it out. In case anyone else runs into this problem:
im = cv2.imread(path,-1)
Setting the flag to 0, to load as grayscale, seems to default to 8 bit. Setting the flag to -1 loads the image as is.
I had the same issue (16-bit .tif loading as 8-bit using cv2.imread). However, using the -1 flag didn’t help. Instead, I was able to load 16-bit images using the tifffile package.
To improve readability use the flag cv2.IMREAD_ANYDEPTH
image = cv2.imread( path, cv2.IMREAD_ANYDEPTH )
This question suggests that image = cv2.imread('16bit.png', cv2.IMREAD_UNCHANGED) will also solve your problem.
I’m trying to read a 16 bit grayscale image using OpenCV 2.4 in Python, but it seems to be loading it as 8 bit.
I’m doing:
im = cv2.imread(path,0)
print im
[[25 25 28 ..., 0 0 0]
[ 0 0 0 ..., 0 0 0]
[ 0 0 0 ..., 0 0 0]
...,
How do I get it as 16 bit?
Figured it out. In case anyone else runs into this problem:
im = cv2.imread(path,-1)
Setting the flag to 0, to load as grayscale, seems to default to 8 bit. Setting the flag to -1 loads the image as is.
I had the same issue (16-bit .tif loading as 8-bit using cv2.imread). However, using the -1 flag didn’t help. Instead, I was able to load 16-bit images using the tifffile package.
To improve readability use the flag cv2.IMREAD_ANYDEPTH
image = cv2.imread( path, cv2.IMREAD_ANYDEPTH )
This question suggests that image = cv2.imread('16bit.png', cv2.IMREAD_UNCHANGED) will also solve your problem.