Saving and Reading Binary Image
Question:
Hello I want to save image after threshold:
binary=cv2.threshold(fark, 30, 255, cv2.THRESH_BINARY)[1]
binary.astype(np.uint8)
print binary.shape
cv2.imwrite("path"+str(counter)+".png",binary)
binary.shape output is: (320,240) —> This is what I want
But when i read the image:
image=cv2.imread(path)
print image.shape
output is (320,240,3) , and when i check out the array it has values like 254,253
What can i do for this stuation and what is the best file format to save binary image?
Answers:
The threshed is already np.uint8, no change is needed.
th, threshed = cv2.threshold(fark, 30, 255, cv2.THRESH_BINARY)
print(threshed.dtype, threshed.shape)
But when use cv2.imread, default convert to BGR channels. To keep original shape and channels(for grayscale or png with alpha channel):
img = cv2.imread("test.png", cv2.IMREAD_UNCHANGED)
Or just for gray:
img = cv2.imread("test.png", cv2.IMREAD_GRAYSCALE)
Hello I want to save image after threshold:
binary=cv2.threshold(fark, 30, 255, cv2.THRESH_BINARY)[1]
binary.astype(np.uint8)
print binary.shape
cv2.imwrite("path"+str(counter)+".png",binary)
binary.shape output is: (320,240) —> This is what I want
But when i read the image:
image=cv2.imread(path)
print image.shape
output is (320,240,3) , and when i check out the array it has values like 254,253
What can i do for this stuation and what is the best file format to save binary image?
The threshed is already np.uint8, no change is needed.
th, threshed = cv2.threshold(fark, 30, 255, cv2.THRESH_BINARY)
print(threshed.dtype, threshed.shape)
But when use cv2.imread, default convert to BGR channels. To keep original shape and channels(for grayscale or png with alpha channel):
img = cv2.imread("test.png", cv2.IMREAD_UNCHANGED)
Or just for gray:
img = cv2.imread("test.png", cv2.IMREAD_GRAYSCALE)