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 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)	Mat	MCvMat MCvHistogram Matrix<TDepath>
CvMatND (Multi-dimensional dense multi-channel array)	Mat	MCvMatND MatND<TDepth>
IplImage	Mat	MIplImage Image<TColor, TDepth>
CvSparseMat	SparseMat	SparseMatrix<TDepath>
CvArr (“metatype”only used as function parameter)	InputArray OutputArray	CvArray<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
CvMemStorage	MemStorage	MemStorage
CvMemBlock
CvMemStoragePos
CvSeq	Seq<typename _Tp>	MCvSeq Seq<T>
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

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.
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