OpenCV 3 Computer Vision with Python Cookbook

How to do it...

Follow these steps:

1. Import the packages:

import cv2import numpy as npimport matplotlib.pyplot as plt

2. Read the test image and build a binary image using Otsu's method:

image = cv2.imread('../data/Lena.png', 0)_, binary = cv2.threshold(image, -1, 1, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

3. Apply erosion and dilatation 10 times using a 3x3 rectangle mask:

eroded = cv2.morphologyEx(binary, cv2.MORPH_ERODE, (3, 3), iterations=10)dilated = cv2.morphologyEx(binary, cv2.MORPH_DILATE, (3, 3), iterations=10)

4. Apply morphological open and close operations using an ellipse-like 5x5 structuring element 5 times:

opened = cv2.morphologyEx(binary, cv2.MORPH_OPEN,                          cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5)),                          iterations=5)closed ...