更新时间：2021-07-23 14:42:23
封面
版权页
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Support files eBooks discount offers and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Getting Started with OpenCV
Understanding the human visual system
How do humans understand image content?
What can you do with OpenCV?
Installing OpenCV
Summary
Chapter 2. An Introduction to the Basics of OpenCV
Basic CMake configuration files
Creating a library
Managing dependencies
Making the script more complex
Images and matrices
Reading/writing images
Reading videos and cameras
Other basic object types
Basic matrix operations
Basic data persistence and storage
Chapter 3. Learning the Graphical User Interface and Basic Filtering
Introducing the OpenCV user interface
A basic graphical user interface with OpenCV
The graphical user interface with QT
Adding slider and mouse events to our interfaces
Adding buttons to a user interface
OpenGL support
Chapter 4. Delving into Histograms and Filters
Generating a CMake script file
Creating the Graphical User Interface
Drawing a histogram
Image color equalization
Lomography effect
The cartoonize effect
Chapter 5. Automated Optical Inspection Object Segmentation and Detection
Isolating objects in a scene
Creating an application for AOI
Preprocessing the input image
Segmenting our input image
Chapter 6. Learning Object Classification
Introducing machine learning concepts
Computer Vision and the machine learning workflow
Automatic object inspection classification example
Feature extraction
Chapter 7. Detecting Face Parts and Overlaying Masks
Understanding Haar cascades
What are integral images?
Overlaying a facemask in a live video
Get your sunglasses on
Tracking your nose mouth and ears
Chapter 8. Video Surveillance Background Modeling and Morphological Operations
Understanding background subtraction
Naive background subtraction
Frame differencing
The Mixture of Gaussians approach
Morphological image processing
Slimming the shapes
Thickening the shapes
Other morphological operators
Chapter 9. Learning Object Tracking
Tracking objects of a specific color
Building an interactive object tracker
Detecting points using the Harris corner detector
Shi-Tomasi Corner Detector
Feature-based tracking
Chapter 10. Developing Segmentation Algorithms for Text Recognition
Introducing optical character recognition
The preprocessing step
Installing Tesseract OCR on your operating system
Using Tesseract OCR library
Chapter 11. Text Recognition with Tesseract
How the text API works
Using the text API
Index
