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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Chapter 7. Detecting Shapes and Segmenting an Image

In this chapter, we are going to learn about shape analysis and image segmentation. We will learn how to recognize shapes and estimate the exact boundaries. We will discuss how to segment an image into its constituent parts using various methods. We will learn how to separate the foreground from the background as well.

By the end of this chapter, you will know:

  • What is contour analysis and shape matching
  • How to match shapes
  • What is image segmentation
  • How to segment an image into its constituent parts
  • How to separate the foreground from the background
  • How to use various techniques to segment an image
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