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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 10: Histograms, Contours, and Morphological Transformations

In the previous chapter, we learned about and demonstrated the basic- and intermediate-level concepts surrounding the areas of image processing and computer vision.

From this chapter onward, we will learn about and demonstrate advanced concepts that will prepare us for writing programs for applications in real life. First, we will look at the theoretical foundations of computing histograms with an ndarray. Then, we will learn how to compute it for grayscale and color image channels. We will also learn how to compute and visualize contours. Finally, we will learn about various mathematical morphological operations in detail and demonstrate how to use them with various structuring elements. We will learn about and demonstrate the following topics:

  • Computing and visualizing histograms
  • Visualizing image contours
  • Applying morphological transformations to images

After completing this chapter, you...

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