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- import cv2
- import numpy as np
- image = cv2.imread('images/opencv_inv.png', 0)
- cv2.imshow('Original', image)
- cv2.waitKey(0)
- # Let's define our kernel size
- kernel = np.ones((5,5), np.uint8)
- # Now we erode
- erosion = cv2.erode(image, kernel, iterations = 1)
- cv2.imshow('Erosion', erosion)
- cv2.waitKey(0)
- #
- dilation = cv2.dilate(image, kernel, iterations = 1)
- cv2.imshow('Dilation', dilation)
- cv2.waitKey(0)
- # Opening - Good for removing noise
- opening = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)
- cv2.imshow('Opening', opening)
- cv2.waitKey(0)
- # Closing - Good for removing noise
- closing = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel)
- cv2.imshow('Closing', closing)
- cv2.waitKey(0)
- cv2.destroyAllWindows()
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