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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

Finding edges using the Canny algorithm

Edges are a useful image feature that can be used in many computer vision applications. In this recipe, you will learn how to detect edges in images using the Canny algorithm.

Getting ready

Install the OpenCV 3.x Python API package and the matplotlib package.

How to do it...

Here are the steps needed to complete this recipe:

  1. Import the modules:
import cv2
import matplotlib.pyplot as plt
  1. Load the test image:
image = cv2.imread('../data/Lena.png')
  1. Detect the edges using the Canny algorithm:
edges = cv2.Canny(image, 200...
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