更新时间：2021-07-02 12:29:33
coverpage
Title Page
Copyright and Credits
Building Computer Vision Projects with OpenCV 4 and C++
About Packt
Why subscribe?
Packt.com
Contributors
About the authors
Packt is searching for authors like you
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Conventions used
Get in touch
Reviews
Getting Started with OpenCV
Understanding the human visual system
How do humans understand image content?
Why is it difficult for machines to understand image content?
What can you do with OpenCV?
Inbuilt data structures and input/output
Image processing operations
GUI
Video analysis
3D reconstruction
Feature extraction
Object detection
Machine learning
Computational photography
Shape analysis
Optical flow algorithms
Face and object recognition
Surface matching
Text detection and recognition
Deep learning
Installing OpenCV
Windows
Mac OS X
Linux
Summary
An Introduction to the Basics of OpenCV
Technical requirements
Basic CMake configuration file
Creating a library
Managing dependencies
Making the script more complex
Images and matrices
Reading/writing images
Reading videos and cameras
Other basic object types
Vec object type
Scalar object type
Point object type
Size object type
Rect object type
RotatedRect object type
Basic matrix operations
Basic data persistence and storage
Writing to FileStorage
Learning Graphical User Interfaces
Introducing the OpenCV user interface
Basic graphical user interface with OpenCV
Adding slider and mouse events to our interfaces
Graphic user interface with Qt
Adding buttons to the user interface
OpenGL support
Delving into Histogram and Filters
Generating a CMake script file
Creating the graphical user interface
Drawing a histogram
Image color equalization
Lomography effect
Cartoonize effect
Automated Optical Inspection Object Segmentation and Detection
Isolating objects in a scene
Creating an application for AOI
Preprocessing the input image
Noise removal
Removing the background using the light pattern for segmentation
Thresholding
Segmenting our input image
The connected components algorithm
The findContours algorithm
Learning Object Classification
Introducing machine learning concepts
OpenCV machine learning algorithms
Computer vision and the machine learning workflow
Automatic object inspection classification example
