文件名称:
OpenCV 2 Computer Vision Application Programming Cookbook
开发工具:
文件大小: 6mb
下载次数: 0
上传时间: 2015-06-26
详细说明： Table of Contents Preface 1 Chapter 1: Playing with Images 7 Introduction 7 Installing the OpenCV library 8 Creating an OpenCV project with MS Visual C++ 11 Creating an OpenCV project with Qt 19 Loading, displaying, and saving images 26 Creating a GUI application using Qt 30 Chapter 2: Manipulating the Pixels 37 Introduction 37 Accessing pixel values 38 Scanning an image with pointers 41 Scanning an image with iterators 49 Writing efficient image scanning loops 51 Scanning an image with neighbor access 55 Performing simple image arithmetic 59 Defining regions of interest 63 Chapter 3: Processing Images with Classes 69 Introduction 69 Using the Strategy pattern in algorithm design 70 Using a Controller to communicate with processing modules 76 Using the Singleton design pattern 80 Using the Model-View-Controller architecture to design an application 82 Converting color spaces 85 Chapter 4: Counting the Pixels with Histograms 89 Introduction 89 Computing the image histogram 89 Applying look-up tables to modify image appearance 96 Equalizing the image histogram 101 Backprojecting a histogram to detect specific image content 103 Using the mean shift algorithm to find an object 108 Retrieving similar images using histogram comparison 112 Chapter 5: Transforming Images with Morphological Operations 117 Introduction 117 Eroding and dilating images using morphological filters 118 Opening and closing images using morphological filters 122 Detecting edges and corners using morphological filters 125 Segmenting images using watersheds 131 Extracting foreground objects with the GrabCut algorithm 137 Chapter 6: Filtering the Images 141 Introduction 141 Filtering images using low-pass filters 142 Filtering images using a median filter 147 Applying directional filters to detect edges 148 Computing the Laplacian of an image 156 Chapter 7: Extracting Lines, Contours, and Components 163 Introduction 163 Detecting image contours with the Canny operator 164 Detecting lines in images with the Hough transform 167 Fitting a line to a set of points 178 Extracting the components' contours 182 Computing components' shape descriptors 186 Chapter 8: Detecting and Matching Interest Points 191 Introduction 191 Detecting Harris corners 192 Detecting FAST features 203 Detecting the scale-invariant SURF features 206 Describing SURF features 212 Chapter 9: Estimating Projective Relations in Images 217 Introduction 217 Calibrating a camera 219 Computing the fundamental matrix of an image pair 228 Matching images using random sample consensus 233 Computing a homography between two images 242 Chapter 10: Processing Video Sequences 247 Introduction 247 Reading video sequences 248 Processing the video frames 251 Writing video sequences 261 Tracking feature points in video 266 Extracting the foreground objects in video 272 Index 279 ...展开收缩
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