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

Skin segmentation in different color spaces

The aforementioned color spaces can be used in different image processing tasks and techniques. For example, the skin_segmentation.py script implements different algorithms to perform skin segmentation working in different color spaces (YCrCb, HSV, and RGB). This script also loads several test images to see how these algorithms work.

The key functions in this script are cv2.cvtColor(), which we have already mentioned on, and cv2.inRange(), which checks whether the elements contained in an array lie between the elements of two other arrays (the lower boundary array and the upper boundary array).

Therefore, we use the cv2.inRange() function to segment the colors corresponding to the skin. As you can ...

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