You're reading from Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3

Product type Paperback

Published in Jun 2020

Publisher Packt

ISBN-13 9781800207219

Length 306 pages

Edition 2nd Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Ashwin Pajankar

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Table of Contents (15) Chapters

Preface

1. Chapter 1: Introduction to Computer Vision and the Raspberry Pi

2. Chapter 2: Preparing the Raspberry Pi for Computer Vision FREE CHAPTER

3. Chapter 3: Introduction to Python Programming

4. Chapter 4: Getting Started with Computer Vision

5. Chapter 5: Basics of Image Processing

6. Chapter 6: Colorspaces, Transformations, and Thresholding

7. Chapter 7: Let's Make Some Noise

8. Chapter 8: High-Pass Filters and Feature Detection

9. Chapter 9: Image Restoration, Segmentation, and Depth Maps

10. Chapter 10: Histograms, Contours, and Morphological Transformations

11. Chapter 11: Real-Life Applications of Computer Vision

12. Chapter 12: Working with Mahotas and Jupyter

13. Chapter 13: Appendix

14. Other Books You May Enjoy

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Chapter 11: Real-Life Applications of Computer Vision

In the previous chapter, we studied various advanced concepts in computer vision such as morphological operations and contours.

This chapter is the culmination of all the computer vision concepts we've learned and demonstrated in the earlier chapters. In this chapter, we will use the computer vision operation we learned about earlier in detail to implement a few real-life projects. We will also learn about a few new concepts such as background subtraction and the computation of optical flow and then demonstrate them for small applications. This chapter contains a lot of hands-on programming examples, as well as detailed explanations of the code and new functionality.

In this chapter, we will learn and demonstrate the code for the following topics: