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import cv2 as cv
import numpy as np
input_image = np.array((
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 255, 255, 255, 0, 0, 0, 255],
[0, 255, 255, 255, 0, 0, 0, 0],
[0, 255, 255, 255, 0, 255, 0, 0],
[0, 0, 255, 0, 0, 0, 0, 0],
[0, 0, 255, 0, 0, 255, 255, 0],
[0,255, 0, 255, 0, 0, 255, 0],
[0, 255, 255, 255, 0, 0, 0, 0]), dtype="uint8")
kernel = np.array((
[0, 1, 0],
[1, -1, 1],
[0, 1, 0]), dtype="int")
output_image = cv.morphologyEx(input_image, cv.MORPH_HITMISS, kernel)
rate = 50
kernel = (kernel + 1) * 127
kernel = np.uint8(kernel)
kernel = cv.resize(kernel, None, fx = rate, fy = rate, interpolation = cv.INTER_NEAREST)
cv.imshow("kernel", kernel)
cv.moveWindow("kernel", 0, 0)
input_image = cv.resize(input_image, None, fx = rate, fy = rate, interpolation = cv.INTER_NEAREST)
cv.imshow("Original", input_image)
cv.moveWindow("Original", 0, 200)
output_image = cv.resize(output_image, None , fx = rate, fy = rate, interpolation = cv.INTER_NEAREST)
cv.imshow("Hit or Miss", output_image)
cv.moveWindow("Hit or Miss", 500, 200)
cv.waitKey(0)
cv.destroyAllWindows()