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Raspberry Pi Computer Vision Programming

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

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800207219
Length 306 pages
Edition 2nd Edition
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Author (1):
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Ashwin Pajankar Ashwin Pajankar
Author Profile Icon Ashwin Pajankar
Ashwin Pajankar
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Table of Contents (15) Chapters Close

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

Chapter 5: Basics of Image Processing

In the previous chapter, we learned about and demonstrated various ways to capture images and videos for image processing and computer vision applications. We learned how to use Command Prompt and Python 3 programming extensively to read images and to interface with the USB webcam and the Raspberry Pi camera module.

In this chapter, we will look at how to perform basic arithmetic and logical operations on images with NumPy, OpenCV, and matplotlib. We will also learn about different color channels and image properties in detail.

The following is a list of the topics that will be covered in this chapter:

  • Retrieving image properties
  • Basic operations on images
  • Arithmetic operations on images
  • Blending and transitioning images
  • Multiplying images by constants and one another
  • Creating a negative of an image
  • Bitwise logical operations on images

This chapter has a lot of hands-on exercises that use Python 3...

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