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OpenCV By Example

You're reading from  OpenCV By Example

Product type Book
Published in Jan 2016
Publisher Packt
ISBN-13 9781785280948
Pages 296 pages
Edition 1st Edition
Languages
Authors (3):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
View More author details

Table of Contents (18) Chapters

OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning the Graphical User Interface and Basic Filtering 4. Delving into Histograms 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 Index

Chapter 4. Delving into Histograms and Filters

In the previous chapter, we learned the basics of user interfaces in OpenCV using QT or native libraries and how to use advanced OpenGL user interfaces. We learned basic color conversions and filters that helped us create our first application.

In this chapter, we will cover the following topics:

  • Histogram and histogram equalization

  • Look up tables

  • The blur and median blur

  • The Gaussian Canny filter

  • Image color equalization

  • Understanding conversion between image types

After we learn the basics of OpenCV and user interfaces, we will create our first complete application and a basic photo tool with the following functionalities in this chapter:

  • Calculate and draw a histogram

  • Histogram equalization

  • The lomography camera effect

  • The cartoonize effect

This application will help you understand how to create a whole project from scratch and understand the histogram concept. We will see how to equalize the histogram of a color image and create two effects using a combination...

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