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Raspberry Pi Computer Vision Programming. - Second Edition

You're reading from  Raspberry Pi Computer Vision Programming. - Second Edition

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781800207219
Pages 306 pages
Edition 2nd Edition
Languages
Author (1):
Ashwin Pajankar Ashwin Pajankar
Profile icon Ashwin Pajankar

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 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 9: Image Restoration, Segmentation, and Depth Maps

In the previous chapter, we demonstrated how to use high-pass filters and their applications in algorithms to detect edges.

In this chapter, we will learn about a few more advanced processing techniques regarding images. First, we will get started with the restoration of damaged or degraded images. Then, we will explore the fundamentals of various types of segmentation techniques. We have already seen that thresholding is a basic form of segmentation. We will explore this concept in more detail in this chapter. Finally, we will compute the disparity map and estimate the depths of objects in an image.

In this chapter, we will cover the following topics:

  • Restoring damaged images using inpainting
  • Segmenting images
  • Disparity maps and depth estimation

By the end of this chapter, we will be able to restore damaged images, apply various segmentation algorithms to images, and estimate the depth of objects...

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