opencv的类型和方法在不同语言中的对应关系

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Basic Structures

main data structures used in OpenCV.

OpenCV中的 C 结构

OpenCV中的 C++ 封装

EmguCV中的 C# 封装

CvPoint 
CvPoint2D32f 
CvPoint2D64f 
CvPoint3D32f 
CvPoint3D64fPoint_<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 
CvSize2D32fSize_<typename _Tp>
Size_<int>(Size, Size2i) 
Size_<float>(Size2f)
System.Drawing.Size 
System.Drawing.SizeF
CvRectRect_<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)

MCvScalarCvBox2DRotatedRectMCvBox2DCvMat (A multi-channel dense matrix)MatMCvMat 
MCvHistogram 
Matrix<TDepath>CvMatND (Multi-dimensional dense multi-channel array)MatMCvMatND 
MatND<TDepth>IplImageMatMIplImage 
Image<TColor, TDepth>CvSparseMatSparseMatSparseMatrix<TDepath>CvArr (“metatype”only used as function parameter)InputArray 
OutputArrayCvArray<TDepth>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.

OpenCv中的 C 结构
OpenCV中的 C++ 封装
Emgu.CV中的 C# 封装
CvMemStorageMemStorageMemStorageCvMemBlock  CvMemStoragePos  CvSeqSeq<typename _Tp>MCvSeq 
Seq<T>CvSliceRangeMCvSliceCvSet (derived from CvSeq) MCvSetCvGraph (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

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 A^T)
• 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.