OpenCV 3 Computer Vision with Python Cookbook

How to do it...

The steps for this recipe are as follows:

1. Import all the packages:

import cv2import numpy as npimport matplotlib.pyplot as plt

2. Create a binary image with a circle mask:

circle_image = np.zeros((500, 500), np.uint8)cv2.circle(circle_image, (250, 250), 100, 255, -1)

3. Create a binary image with a rectangle mask:

rect_image = np.zeros((500, 500), np.uint8)cv2.rectangle(rect_image, (100, 100), (400, 250), 255, -1)

4. Combine the circle and rectangle masks using a bitwise AND operator:

circle_and_rect_image = circle_image & rect_image

5. Combine the circle and rectangle masks using a bitwise OR operator:

circle_or_rect_image = circle_image | rect_image

6. Visualize the results:

plt.figure(figsize=(10,10))plt.subplot(221)plt.axis('off') ...