Skip to Content
OpenCV 4 with Python Blueprints - Second Edition
book

OpenCV 4 with Python Blueprints - Second Edition

by Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
March 2020
Intermediate to advanced
366 pages
9h 8m
English
Packt Publishing
Content preview from OpenCV 4 with Python Blueprints - Second Edition

Finding connected components in a segmentation mask

We already know that the center region belongs to the hand. For such a scenario, we can simply apply cv2.floodfill to find all the connected image regions.

Before we do this, we want to be absolutely certain that the seed point for the flood fill belongs to the right mask region. This can be achieved by assigning a grayscale value of 128 to the seed point. However, we also want to make sure that the center pixel does not, by any coincidence, lie within a cavity that the morphological operation failed to close.

So, let's set a small 7 x 7-pixel region with a grayscale value of 128 instead, like this:

small_kernel = 3frame[height // 2 - small_kernel:height // 2 + small_kernel, width // 2 - ...
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 with Python Blueprints

OpenCV with Python Blueprints

Michael Beyeler, Michael Beyeler (USD)
OpenCV 3 Computer Vision with Python Cookbook

OpenCV 3 Computer Vision with Python Cookbook

Aleksei Spizhevoi, Aleksandr Rybnikov
Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python

Alberto Fernández Villán

Publisher Resources

ISBN: 9781789801811Supplemental Content