Key Features
Book Description
This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image processing is expected.What you will learn
- Explore advanced image processing techniques such as the retina algorithm, morphing, and color transfer
- Create programs using advanced segmentation tools such as the new connectedComponents and connectedComponentsWithStats functions
- Use flood filling along with the watershed transform to obtain better segmentations
- Explore the new powerful KAZE features
- Use advanced videobased background/foreground segmentation for class BackgroundSubtractor and ECCbased warping
- Leverage the available object detection frameworks and the new scene text detection functionality
- Get a grasp of advanced topics such as machine learning and GPU optimization
Who this book is for
Table of Contents
- Getting Started
- We Will Need to See Something: Graphical User Interfaces
- First Things First: Image processing
- What?s In the Image: Segmentation
- Focusing On the Interesting: 2D features
- Where?s Wally?: Object detection
- What Is He Doing?: Motion
- Advanced topics
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