Emgu CV Essential

【文件属性】：
文件名称：Emgu CV Essential
文件大小：1.89MB
文件格式：PDF
更新时间：2018-07-16 14:03:23
OpenCV Preface 1 Chapter 1: Introduction to Emgu CV 5 What is Emgu CV? 5 Comparing image-processing libraries 6 License agreement 6 Documentation and other material 7 Ease of use 7 Performance 8 Summary of the comparison 9 Advantages of Emgu CV 9 Cross-platform 9 Cross-language support with examples 9 Other advantages 10 Summary 10 Chapter 2: Installing Emgu CV 11 Downloading Emgu CV 11 Installing Emgu CV 11 Installing on Windows 11 Installing on Linux 16 Getting the dependency 16 Building Emgu CV from source 17 Installing on OS X 18 Getting the dependency 19 Building Emgu CV from source 19 Troubleshooting 20 Windows 20 Linux 21 OS X 22 Summary 22 Chapter 3: Hello World 23 Hello World in C# 23 Creating a new project 24 Designing our form 27 Coding 27 Output 29 Hello World in VB.NET 30 Hello World in C++ 31 Summary 32 Chapter 4: Wrapping OpenCV 33 Architecture overview 33 OpenCV 33 Emgu CV 34 Function mapping 36 Structure mapping 36 Enumeration mapping 37 Summary 37 Chapter 5: Working with Images 39 Digital image representation 39 Pixels and data 39 Pixel resolution 40 Color image representation 41 Color depth 43 Working with images 44 Creating an image 44 Loading an image from a file 46 Operations with pixels 47 Method naming rules 49 Using operator overload 50 Generic operations support 51 Garbage collection 51 XML serialization 52 Summary 53 Chapter 6: Working with Matrices 55 Matrix and the Image class 55 Definition and parameters 56 Working with matrices 56 Creating a matrix 57 Operations with elements 58 Summary 59 Chapter 7: Shape Detection 61 Canny Edge Detector 61 Hough transforms 63 Hough Line transform 63 Hough Circle transform 65 Contour 67 Contour finding 68 Representation of contours 68 Sequences of vertexes 68 Free chain codes 69 Drawing contours 69 Polygon approximations 70 A contours example 70 Summary 72 Chapter 8: Face Detection 73 Biometric systems 73 Camera captures 75 Machine learning 76 Face detection or the Haar classifier 77 Boosting theory and supervised learning 78 Haar-like features 78 Code for face detection 81 Summary 83 Chapter 9: License Plate Recognition 85 License Plate Recognition 85 Algorithms for LPR 86 OCR 87 Tesseract-OCR 88 Code for License Plate Recognition 88 Assumption 89 Source code 89 GetWhitePixelMask 90 DetectLicensePlate 91 FindLicensePlate 92 Output 93 Summary 93 Chapter 10: Image Stitching 95 Image stitching 95 Algorithms for image stitching 96 Image matching 96 Image calibration 97 Image blending 97 Code 98 Summary 99 Index 101