OpenCV中的结构体、类与Emgu.CV的对应表

OpenCv中的 C 结构	OpenCV中的 C++ 封装	Emgu.CV中的 C# 封装
OpenCV 和 Emgu.CV 中的结构罗列  谢谢阅读，有误希望指正 原文地址
Basic Structures: main data structures used in opencv.
CvPoint  CvPoint2D32f  CvPoint2D64f  CvPoint3D32f  CvPoint3D64f	Point_<typename _Tp>  Point3_<typename _Tp>  Point_<int>(Point2i, Point)  Point_<float>(Point2f)  Point_<double>(Point2d)  Point3_<float>(Point3f)  Point3_<double>(Point3d)  Point3_<int>(Point3i)	System.Drawing.Point  System.Drawing.PointF  MCvPoint2D64f  MCvPoint3D32f  MCvPoint3D64f
CvSize  CvSize2D32f	Size_<typename _Tp>  Size_<int>(Size, Size2i)  Size_<float>(Size2f)	System.Drawing.Size  System.Drawing.SizeF
CvRect	Rect_<typename _Tp>  Rect_<int>(Rect)	System.Drawing.Rectangle
CvScalar  (A container for 1-,2-,3-or4-tuples of doubles)	Scalar_<typename _Tp>  Scalar_<double>(Scalar)  (:public Vec<_Tp, 4>)  (Scalar is widely used to pass pixel values)	MCvScalar
CvBox2D	RotatedRect	MCvBox2D
CvMat  (A multi-channel dense matrix) – obsolete	Mat	MCvMat  MCvHistogram  Matrix<TDepath>(wrapper)
CvMatND  (Multi-dimensional dense multi-channel array) – obsolete		MCvMatND  MatND<TDepth>(wrapper)
IplImage		MIplImage  Image<TColor, TDepth>(wrapper)
CvSparseMat	SparseMat	SparseMatrix<TDepath>(wrapper)
CvArr  (“metatype”only used as function parameter)	InputArray  OutputArray	CvArray<TDepth>(wrapper)
CvTermCriteria  (Termination criteria for iterative algorithms)	TermCriteria	MCvTermCriteria
Dynamic Structures: for creating growable sequences and other dynamic data structures allocated in CvMemStorage. If you use the new C++, Python, Java etc interface, you will unlikely need this functionality. Use std::vector or other high-level data structures instead.
CvMemStorage	MemStorage	MemStorage(wrapper)
CvMemBlock
CvMemStoragePos
CvSeq	Seq<typename _Tp>	MCvSeq  Seq<T>(wrapper)
CvSlice	Range	MCvSlice
CvSet  (derived from CvSeq)		MCvSet
CvGraph  (derived from CvSet)
CvGraphScanner  (used for depth-first graph traversal)
CvTreeNodeIterator  (used to traverse trees of sequences)
Extra C++ Basic Structures: some basic structures in C++ version.
Matx<typename _Tp, int m, int n>  typedef Matx<float, 1, 2> Matx12f;  typedef Matx<double, 6, 6> Matx66d;  ...
Vec<typename _Tp, int n> (:public Matx<_Tp, n, 1>)  typedef Vec<uchar, 2> Vec2b;  typedef Vec<short, 4> Vec4s;  typedef Vec<int, 3> Vec3i;  ...float,double...
Ptr<typename _Tp>  for smart reference-counting pointers
MatExpr  Matrix Expressions: (Mat A, B; Scalar s; double alpha)  Addition, substraction, negation: A + B, A - B, A + s, A - s, s - A, -A Scaling: A * alpha Per-element multiplication and division: A.mul(B), A/B, alpha/A Matrix multiplication: A*B Transposition: A.t() (means AT) Matrix inversion and pseudo-inversion, solving linear systems and least-squares problems: A.inv([method]) (~ A-1) , A.inv([method])*B (~ X: AX=B) Comparison: A cmpop B, A cmpop alpha, alpha cmpop A, where cmpop is one of : >, >=, ==, !=, <=, <. The result of comparison is an 8-bit single channel mask whose elements are set to 255 (if the particular element or pair of elements satisfy the condition) or 0. Bitwise logical operations: A logicop B, A logicop s, s logicop A, ~A, where logicop is one of : &, |, ^. Element-wise minimum and maximum: min(A, B), min(A, alpha), max(A, B), max(A, alpha) Element-wise absolute value: abs(A) Cross-product, dot-product: A.cross(B) A.dot(B) Any function of matrix or matrices and scalars that returns a matrix or a scalar, such as norm, mean, sum, countNonZero, trace, determinant, repeat, and others. Matrix initializers ( Mat::eye(), Mat::zeros(), Mat::ones() ), matrix comma-separated initializers, matrix constructors and operators that extract sub-matrices (see Mat description). Mat_<destination_type>() constructors to cast the result to the proper type.