Created
March 15, 2019 21:44
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import cv2 | |
import numpy as np | |
# If you're wondering why only two dimensions, well this is a grayscale image, | |
# if we doing a colored image, we'd use | |
# rectangle = np.zeros((300, 300, 3),np.uint8) | |
# Making a sqare | |
square = np.zeros((300, 300), np.uint8) | |
cv2.rectangle(square, (50, 50), (250, 250), 255, -2) | |
cv2.imshow("Square", square) | |
cv2.waitKey(0) | |
# Making a ellipse | |
ellipse = np.zeros((300, 300), np.uint8) | |
cv2.ellipse(ellipse, (150, 150), (150, 150), 30, 0, 180, 255, -1) | |
cv2.imshow("Ellipse", ellipse) | |
cv2.waitKey(0) | |
cv2.destroyAllWindows() | |
# Shows only where they intersect | |
And = cv2.bitwise_and(square, ellipse) | |
cv2.imshow("AND", And) | |
cv2.waitKey(0) | |
# Shows where either square or ellipse is | |
bitwiseOr = cv2.bitwise_or(square, ellipse) | |
cv2.imshow("OR", bitwiseOr) | |
cv2.waitKey(0) | |
# Shows where either exist by itself | |
bitwiseXor = cv2.bitwise_xor(square, ellipse) | |
cv2.imshow("XOR", bitwiseXor) | |
cv2.waitKey(0) | |
# Shows everything that isn't part of the square | |
bitwiseNot_sq = cv2.bitwise_not(square) | |
cv2.imshow("NOT - square", bitwiseNot_sq) | |
cv2.waitKey(0) | |
### Notice the last operation inverts the image totally | |
cv2.destroyAllWindows() |
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