Skip to Content
Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Calculating and back-projecting color histograms

To calculate a color histogram, OpenCV provides a function called cv2.calcHist. To apply a histogram as a lookup table, OpenCV provides another function called cv2.calcBackProject. The latter operation is known as histogram back-projection, and it transforms a given image into a probability map based on a given histogram. Let's first visualize the output of these two functions, and then examine their parameters.

A histogram can use any color model, such as blue-green-red (BGR), hue-saturation-value (HSV), or grayscale. (For an introduction to color models, refer to Chapter 3, Processing Images with OpenCV, specifically the Converting images between different color models section.) For our samples, ...

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

Building Computer Vision Projects with OpenCV 4 and C++

Building Computer Vision Projects with OpenCV 4 and C++

David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot

Publisher Resources

ISBN: 9781789531619Supplemental Content