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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Obtaining an object mask using the GrabCut algorithm

There are cases where we want to separate an object from other parts of a scene; in other words, where we want to create masks for the foreground and background. This job is tackled by the GrabCut algorithm. It can build object masks in semi-automatic mode. All that it needs are initial assumptions about object location. Based on these assumptions, the algorithm performs a multi-step iterative procedure to model statistical distributions of foreground and background pixels and find the best division according to the distributions. This sounds complicated, but the usage is very simple. Let's find out how easily we can apply this sophisticated algorithm in OpenCV.

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