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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Checking whether a point is within a contour

In this recipe, we will discover a way of checking whether a point is inside of a contour, or if it belongs to the contour's border.

Getting ready

You need to have OpenCV 3.x installed, with Python API support.

How to do it...

  1. Import all of the necessary modules, open an image, and display it on the screen:
import cv2, random
import numpy as np
img = cv2.imread('bw.png', cv2.IMREAD_GRAYSCALE)
  1. Find the contours of the image and display them:
im2, contours, hierarchy = cv2.findContours(img, cv2.RETR_TREE, cv2...
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