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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

Introducing the OpenCV user interface


OpenCV has its own cross-operating system user interface that allows developers to create their own applications without the need to learn complex libraries for the user interface.

The OpenCV user interface is basic, but it gives Computer Vision developers the basic functions to create and manage their software developments. All of them are native and optimized for real-time use.

OpenCV provides two options for the user interface:

  • A basic interface based on native user interfaces, such as Cocoa or Carbon for OS X and GTK for Linux or Windows user interfaces, that are selected by default when you compile OpenCV.

  • A slightly more advanced interface based on the QT library that is cross-platform. You have to enable the QT option manually in CMake before you compile OpenCV.

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