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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

Colorspaces and converting them

Let's understand the concept of a colorspace. A colorspace is a mathematical model that is used to represent a set of colors. With colorspaces, we can represent colors with numbers. If you've ever have worked with web programming, then you must have come across various codes for colors since colors are represented in HTML with Hexadecimal numbers. This is a good example of representing colors with a colorspace and allows us to perform numerical and logical computations with them. Representing colors with colorspaces also allows us to reproduce the colors with ease in analog and digital forms.

We will frequently use BGR, RGB, HSV, and grayscale colorspaces throughout this book. In BGR and RGB, B stands for blue, G stands for green, and R stands for red. OpenCV reads and stores a color image in the BGR colorspace. The HSV colorspace represents a set of colors with a component for hue, a component for saturation, and a component for value...

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