OpenCV Essentials

OpenCV

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Chapter 1, Getting Started, deals with the basic installation steps and introduces the essential concepts of the OpenCV API. The first examples to read/write images and video and capture them from a camera are also provided. Chapter 2, Something We Look At – Graphical User Interfaces, covers user interface capabilities for our OpenCV-based applications. Chapter 3, First Things First – Image Processing, covers the most useful image processing techniques available in OpenCV. Chapter 4, What's in the Image? Segmentation, tackles the all-important problem of image segmentation in OpenCV. Chapter 5, Focusing on the Interesting 2D Features, covers the functions available for extracting keypoints and descriptors from an image. Chapter 6, Where's Wally? Object Detection, describes that object detection is a central problem in computer vision. This chapter explains the functionality available for object detection. Chapter 7, What Is He Doing? Motion, considers more than just a single static image. This chapter deals with motion and tracking in OpenCV. Chapter 8, Advanced Topics, focuses on some advanced topics such as machine learning and GPU-based acceleration.

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OpenCV Essentials

Table of Contents
OpenCV Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers, and more
Why subscribe?
Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Getting Started
Setting up OpenCV
Compiled versus precompiled library
Configuring OpenCV with CMake
Building and installing the library
Quick recipe for setting up OpenCV
API concepts and basic datatypes
Our first program – reading and writing images and videos
The qmake project file
Reading and playing a video file
Live input from a camera
Summary

2. Something We Look At – Graphical User Interfaces
Using OpenCV's highgui module
Text and drawing
Selecting regions
Using Qt-based functions
Text overlays and status bar
The properties dialog
Windows properties
Qt images
Summary
3. First Things First – Image Processing
Pixel-level access and common operations
Image histogram
Histogram equalization
Brightness and contrast modeling
Histogram matching and LUT
Conversion from RGB to other color spaces
Filtering with the retina model
Arithmetic and geometrical transforms
Arithmetic transform
Geometrical transforms
Summary
What else?
4. What's in the Image? Segmentation
Thresholding
Contours and connected components
Flood fill
Watershed segmentation
GrabCut
Summary
What else?
5. Focusing on the Interesting 2D Features
Interest points
Feature detectors
The FAST detector
The SURF detector

The ORB detector
The KAZE and AKAZE detectors
Feature descriptor extractors
Descriptor matchers
Matching the SURF descriptors
Matching the AKAZE descriptors
Summary
What else?
6. Where's Wally? Object Detection
Object detection
Detecting objects with OpenCV
Cascades are beautiful
Object detection using cascades
Training your own cascade
Latent SVM
Scene text detection
Summary
What else?
7. What Is He Doing? Motion
Motion history
Reading video sequences
The Lucas-Kanade optical flow
The Gunnar-Farneback optical flow
The Mean-Shift tracker
The CamShift tracker
The Motion templates
The Motion history template
The Motion gradient
The Background subtraction technique
Image alignment
Summary
What else?
8. Advanced Topics
Machine learning
The KNN classifier
The Random Forest classifier