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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

Basic operations on images

Let's perform a few basic operations, such as splitting and combining the channels of a color image and adding a border to an image. We will continue this demonstration in interactive mode. Let's import OpenCV and read a color image, as follows:

>>> import cv2
>>> img = cv2.imread('/home/pi/book/dataset/4.1.01.tiff', 1)

For any image, the origin—the (0, 0) pixel—is the pixel at the upper-left corner. We can retrieve the intensity values for all the channels by running the following statement:

>>> print(img[10, 10])
[34 38 44]

These are the intensity values of the blue, green, and red channels, respectively, for pixel (10, 10). If you only want to access an individual channel for a pixel, then run the following statement:

>>> print(img[10, 10, 0])
34

The preceding output, 34, is the intensity of the blue channel. Similarly, we can access the green and red channels with...

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