OpenCV中的结构体、类与Emgu.CV的对应表

时间：2021-02-03 04:34:08
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

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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.

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