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()