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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
Languages
Tools
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV FREE CHAPTER 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Summary

In this chapter, we learned how to create different types of user interfaces to show images or 3D interfaces using OpenGL. We learned how to create sliders and buttons or draw in 3D. We learned some basic image processing filters too with native OpenCV, but there are new open source alternatives that allow us to add more functionalities, such as cvui (https://dovyski.github.io/cvui/) or OpenCVGUI (https://damiles.github.io/OpenCVGUI/).

In the next chapter, we are going to construct a complete photo tool application where we will be applying all the knowledge that we have learned thus far. With the graphical user interface, we are going to learn how to apply multiple filters to an input image.

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