目錄(95章)
倒序
- 封面
- 版權(quán)頁(yè)
- 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
- Summary
- 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
- Summary
- 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
- Summary
- 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
- Summary
- Chapter 6. Learning Object Classification
- Introducing machine learning concepts
- Computer Vision and the machine learning workflow
- Automatic object inspection classification example
- Feature extraction
- Summary
- 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
- Summary
- 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
- Summary
- 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
- Summary
- 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
- Summary
- Chapter 11. Text Recognition with Tesseract
- How the text API works
- Using the text API
- Summary
- Index 更新時(shí)間：2021-07-23 14:42:23
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