Table of Contents
Preface
Chapter 1: Playing with Images
Chapter 2: Manipulating the Pixels
Chapter 3: Processing Images with Classes
Chapter 4: Counting the Pixels with Histograms
Chapter 5: Transforming Images with Morphological Operations
Chapter 6: Filtering the Images
Chapter 7: Extracting Lines, Contours, and Components
Chapter 8: Detecting and Matching Interest Points
Chapter 9: Estimating Projective Relations in Images
Chapter 10: Processing Video Sequences
Index
- Chapter 1: Playing with Images
- Introduction
- Installing the OpenCV library
- Creating an OpenCV project with MS Visual C++
- Creating an OpenCV project with Qt
- Loading, displaying, and saving images
- Creating a GUI application using Qt
- Chapter 2: Manipulating the Pixels
- Introduction
- Accessing pixel values
- Scanning an image with pointers
- Scanning an image with iterators
- Writing efficient image scanning loops
- Scanning an image with neighbor access
- Performing simple image arithmetic
- Defining regions of interest
- Chapter 3: Processing Images with Classes
- Introduction
- Using the Strategy pattern in algorithm design
- Using a Controller to communicate with processing modules
- Using the Singleton design pattern
- Using the Model-View-Controller architecture to design an application
- Converting color spaces
- Chapter 4: Counting the Pixels with Histograms
- Introduction
- Computing the image histogram
- Applying look-up tables to modify image appearance
- Equalizing the image histogram
- Backprojecting a histogram to detect specific image content
- Using the mean shift algorithm to find an object
- Retrieving similar images using histogram comparison
- Chapter 5: Transforming Images with Morphological Operations
- Introduction
- Eroding and dilating images using morphological filters
- Opening and closing images using morphological filters
- Detecting edges and corners using morphological filters
- Segmenting images using watersheds
- Extracting foreground objects with the GrabCut algorithm
- Chapter 6: Filtering the Images
- Introduction
- Filtering images using low-pass filters
- Filtering images using a median filter
- Applying directional filters to detect edges
- Computing the Laplacian of an image
- Chapter 7: Extracting Lines, Contours, and Components
- Introduction
- Detecting image contours with the Canny operator
- Detecting lines in images with the Hough transform
- Fitting a line to a set of points
- Extracting the components' contours
- Computing components' shape descriptors
- Chapter 8: Detecting and Matching Interest Points
- Introduction
- Detecting Harris corners
- Detecting FAST features
- Detecting the scale-invariant SURF features
- Describing SURF features
- Chapter 9: Estimating Projective Relations in Images
- Introduction
- Calibrating a camera
- Computing the fundamental matrix of an image pair
- Matching images using random sample consensus
- Computing a homography between two images
- Chapter 10: Processing Video Sequences
- Introduction
- Reading video sequences
- Processing the video frames
- Writing video sequences
- Tracking feature points in video
- Extracting the foreground objects in video
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