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Applying Math with Python

You're reading from   Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (12) Chapters Close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib FREE CHAPTER 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Finding edges in an image

Finding edges in images is a good way of reducing a complex image that contains a lot of noise and distractions to a very simple image containing the most prominent outlines. This can be useful as our first step of the analysis process, such as in image classification, or as the process of importing line outlines into computer graphics software packages.

In this recipe, we will learn how to use the scikit-image package and the Canny algorithm to find the edges in a complex image.

Getting ready

For this recipe, we will need to import the Matplotlib pyplot module as plt, the imread routine from the skimage.io module, and the canny routine from the skimage.feature module:

import matplotlib.pyplot as plt
from skimage.io import imread
from skimage.feature import canny

How to do it...

Follow these steps to learn how to use the scikit-image package to find edges in an image:

  1. Load the image data...
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