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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

Introduction

Pixels store values. Values themselves are good features of an image—they can tell you about image statistics, but almost nothing more. Values group together according to image content—dark to light transitions form borders, and borders divide scenes into different objects. Borders connect together and reveal contours. Contours play an important role in many computer vision algorithms. They help to find objects, to separate one instance of something from another, and finally, to understand the whole scene.

This chapter sheds light on everything relevant to the contours in OpenCV. We will discuss methods for finding, using, and displaying them, as well as consider basic segmentation methods.

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