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OpenCV Python Tutorial For Beginners - Morphological Transformations
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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([]) | |
plt.show() |
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