I am trying to convert an image back to grayscale after applying Sobel filtering on it. I have the following code:

import numpy as np
import matplotlib.pyplot as plt
import cv2image = cv2.imread("train.jpg")
img = np.array(image, dtype=np.uint8)#convert to greyscale
img_grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)#remove noise
img_smooth = cv2.GaussianBlur(img_grey, (13,13), 0)sobely = cv2.Sobel(img_smooth,cv2.CV_64F,0,1,ksize=9)

I want to convert the image sobely back to greyscale using the convertScaleAbs() function.

I know that the function takes a source (the image to be converted to grayscale) and destination array as arguments, but I am not sure what is the best way to go about creating the destination array.

Any insights are appreciated.

You can try:

gray = cv2.convertScaleAbs(sobely, alpha=255/sobely.max())
plt.imshow(gray, cmap='gray')