Computer vision: Morphological Transformations in openCV Arabic



import cv2

import numpy as np

from matplotlib import pyplot as plt


img = cv2.imread('smarties.png', cv2.IMREAD_GRAYSCALE)

_, mask = cv2.threshold(img, 220, 255, cv2.THRESH_BINARY_INV)


kernal = np.ones((5,5), np.uint8)


dilation = cv2.dilate(mask, kernal, iterations=2)

erosion = cv2.erode(mask, kernal, iterations=1)

opening = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernal)

closing = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernal)

mg = cv2.morphologyEx(mask, cv2.MORPH_GRADIENT, kernal)

th = cv2.morphologyEx(mask, cv2.MORPH_TOPHAT, kernal)


titles = ['image', 'mask', 'dilation', 'erosion', 'opening', 'closing', 'mg', 'th']

images = [img, mask, dilation, erosion, opening, closing, mg, th]


for i in range(8):

    plt.subplot(2, 4, i+1), plt.imshow(images[i], 'gray')      

    plt.title(titles[i])      

    plt.xticks([]),plt.yticks([])#ticks      


plt.show()#show

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data used in this video



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