import cv2
import numpy as np
img = cv2.imread('text_black_corners.png')
# map the black corners to white
img2 = img.copy()
img2[np.where((img2 <= [150,150,150]).all(axis=2))] = [255,255,255]
# apply morphology close
kernel = cv2.getStructuringElement(cv2.MORPH_RECT , (3,3))
result = cv2.morphologyEx(img2, cv2.MORPH_CLOSE, kernel)
# write result to disk
cv2.imwrite("text_black_corners_removed.png", result)
# display it
cv2.imshow("img2", img2)
cv2.imshow("result", result)
cv2.waitKey(0)
Result:
CodePudding user response:
As an ad-hoc solution, we may use cv2.floodFill
4 times - one at each corner:
img = cv.imread(file_path, 0)
rows, cols = img.shape
cv.floodFill(img, None, seedPoint=(0, 0), newVal=255, loDiff=1, upDiff=1) # Fill the top left corner.
cv.floodFill(img, None, seedPoint=(cols-1, 0), newVal=255, loDiff=1, upDiff=1) # Fill the top right corner.
cv.floodFill(img, None, seedPoint=(0, rows-1), newVal=255, loDiff=1, upDiff=1) # Fill the bottop left corner.
cv.floodFill(img, None, seedPoint=(cols-1, rows-1), newVal=255, loDiff=1, upDiff=1) # Fill the bottom right corner.