问题
Let say I have this rose (Do not care about the background, only the white leaves are important).
I transform it to a grayscale picture:
grayscaled=cv2.imread('white_rose.png',cv2.IMREAD_GRAYSCALE)
How can I change every white pixel to a red one under the condition the red color (R=255
) will have the same contrast as the white one has ? Meaning I want to see the white leaves in red color but with the same L
value of every pixel that in grayscaled
?
回答1:
You need to loop over your grey image and create a new coloured image by yourself.
For each pixel, you can replace the R
value of your coloured image with the remainder of dividing of 255
and relative grey value:
import cv2
import numpy as np
img = cv2.imread('5585T.jpg')
print type(img)
img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
new=[[[0,0,255%j] for j in i] for i in img_gray]
dt = np.dtype('f8')
new=np.array(new,dtype=dt)
cv2.imwrite('img.jpg',new)
and with new=[[[255%j,255%j,j] for j in i] for i in img_gray]
:
来源:https://stackoverflow.com/questions/29125349/change-color-of-a-pixel-with-opencv