Skip to Content
Mastering OpenCV 4 with Python
book

Mastering OpenCV 4 with Python

by Alberto Fernández Villán
March 2019
Intermediate to advanced
532 pages
13h 2m
English
Packt Publishing
Content preview from Mastering OpenCV 4 with Python

Accessing and manipulating pixels in OpenCV with BGR images

Now, we are going to see how we can work with BGR images in OpenCV. OpenCV loads the color images so that the blue channel is the first, the green channel is the second, and the red channel is the third. Please see the Accessing and manipulating pixels in OpenCV with grayscale images section to fully understand this concept.

First, read the image to work with using the cv2.imread() function. The image should be in the working directory, or a full path to the image should be provided. In this case, we are going to read the logo.png image and store it in the img variable:

# The function cv2.imread() is used to read an image from the the working directory# Alternatively, you should ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

OpenCV 4 with Python Blueprints - Second Edition

OpenCV 4 with Python Blueprints - Second Edition

Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
Learning OpenCV 3

Learning OpenCV 3

Adrian Kaehler, Gary Bradski
Machine Learning for OpenCV 4 - Second Edition

Machine Learning for OpenCV 4 - Second Edition

Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler

Publisher Resources

ISBN: 9781789344912Supplemental Content