从灰度图像中删除 alpha 通道
Removing alpha channels from grayscale images
我有一些黑白图像,但是是 RGBa。我使用 skimage rgb2gray(inp_image)
将它们转换为灰度。然而它们变成了带有 alpha 通道的灰度图像。
如果我想把那些RGBa转成没有alpha通道的灰度怎么办?
你可以试试这个。
import cv2
image = cv2.imread('path to your image')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Gray image', gray)
cv2.waitKey(0)
cv2.destroyAllWindows()
多张图片
import cv2
from os import listdir,makedirs
from os.path import isfile,join
source = r'path to source folder'
destination = r'path where you want to save'
files = [f for f in listdir(source) if isfile(join(source,f))]
for image in files:
try:
img = cv2.imread(os.path.join(source,image))
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dstPath = join(destination,image)
cv2.imwrite(destination,gray)
except:
print ("{} is not converted".format(image))
我有一些黑白图像,但是是 RGBa。我使用 skimage rgb2gray(inp_image)
将它们转换为灰度。然而它们变成了带有 alpha 通道的灰度图像。
如果我想把那些RGBa转成没有alpha通道的灰度怎么办?
你可以试试这个。
import cv2
image = cv2.imread('path to your image')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Gray image', gray)
cv2.waitKey(0)
cv2.destroyAllWindows()
多张图片
import cv2
from os import listdir,makedirs
from os.path import isfile,join
source = r'path to source folder'
destination = r'path where you want to save'
files = [f for f in listdir(source) if isfile(join(source,f))]
for image in files:
try:
img = cv2.imread(os.path.join(source,image))
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dstPath = join(destination,image)
cv2.imwrite(destination,gray)
except:
print ("{} is not converted".format(image))