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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 Chapter 1: Introduction to Computer Vision and the Raspberry Pi Chapter 2: Preparing the Raspberry Pi for Computer Vision Chapter 3: Introduction to Python Programming Chapter 4: Getting Started with Computer Vision Chapter 5: Basics of Image Processing Chapter 6: Colorspaces, Transformations, and Thresholding Chapter 7: Let's Make Some Noise Chapter 8: High-Pass Filters and Feature Detection Chapter 9: Image Restoration, Segmentation, and Depth Maps Chapter 10: Histograms, Contours, and Morphological Transformations Chapter 11: Real-Life Applications of Computer Vision Chapter 12: Working with Mahotas and Jupyter Chapter 13: Appendix Other Books You May Enjoy

Summary

In this chapter, we learned and demonstrated the concepts of histograms in general and saw how to create a simple histogram from a simple single-dimensional array. Then, we saw how to visualize a histogram for grayscale and color images. We also demonstrated how to use image contours. Finally, we visually demonstrated the operations that are performed in the area of mathematical morphology. These morphological operations will be extremely useful for real-life applications, some of which we will demonstrate in Chapter 11, Real-Life Applications of Computer Vision.

In the next chapter, we will demonstrate many of the concepts we learned in this and the earlier chapters by building real-life applications such as movement detectors, chroma keys with a green screen, and barcode detection in still images. It will be an exciting and interesting chapter that culminates all the knowledge we have gained so far.

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