typedef struct CvPoint

{

int x;

int y;

}

CvPoint

typedef struct CvPoint2D32f

{

float x;

float y;

}

CvPoint2D32f

typedef struct CvPoint3D32f

{

float x;

float y;

float z;

}

CvPoint3D32f

typedef struct CvSize

{

int width;

int height;

}

CvSize;

typedef struct CvSize2D32f

{

float width;

float height;

}

CvSize2D32f;

typedef struct CvRect

{

int x;

int y;

int width;

int height;

}

CvRect;

typedef struct CvScalar

{

double val[4];

}

CvScalar

typedef struct CvMat

{

int type;

int step;

/* for internal use only */

int* refcount;

int hdr_refcount;

union

{

uchar* ptr;

short* s;

int* i;

float* fl;

double* db;

} data;

#ifdef __cplusplus

union

{

int rows;

int height;

};

union

{

int cols;

int width;

};

#else

int rows;

int cols;

#endif

}

CvMat;

Path1:  CvMat* cvCreateMat(int rows, int cols, int type) //分配内存空间

Path2:  CvMat* cvCreateMatHeader(int rows, int cols, int type) //不分配分配内存空间

Path3:  CvMat* cvInitMatHeader(CvMat* mat, int rows, int cols, int type, void* data=NULL, int step=CV_AUTOSTEP)//利用现有的mat结构创建一个新的矩阵

Path4:  CvMat cvMat(int rows, int cols, int type, void* data=NULL) //轻量级创建一个矩阵并分配存储空间的办法

Path5:  CvMat* cvCloneMat(const CvMat* mat) //header and data are all allocated.

#include <cv.h>

#include <highgui.h>

int main()

{

float vals[]={0.866025,-0.50000,0.500000,0.866025};

CvMat rotmat;

cvInitMatHeader(&rotmat,2,2,CV_32FC1,vals);

}

1.简单的方法：

CV_MAT_ELEM()  CV_MAT_ELEM_PTR() 存取数据。

例程：

CvMat * mat1 = cvCreateMat( 5,5,CV_32FC1);

float element_3_3 = 7.7;

*((float *)CV_MAT_ELEM_PTR(*mat1,3,2) ) =element_3_3;

2.麻烦的方法:

返回指针的:

C: uchar* cvPtr1D(const CvArr* arr, int idx0, int* type=NULL)

C: uchar* cvPtr2D(const CvArr* arr, int idx0, int idx1, int* type=NULL)

C: uchar* cvPtr3D(const CvArr* arr, int idx0, int idx1, int idx2, int* type=NULL)

C: uchar* cvPtrND(const CvArr* arr, int* idx, int* type=NULL, int createNode=1, unsigned int* precalcHashval=NULL)

返回元素对象:

cvGetReal*D()

cvGet*D()

cvSetReal*D()

cvSet*D()

cvSet()//处理单通道数据

cvGet() //处理单通道数据

3.适当的方法

/**

累加一个三通道矩阵中的所有元素

**/

#include <cv.h>

#include <highgui.h>

float sum(const CvMat * mat)

{

float s = 0.0f;

for(int row=0;row<mat->rows;row++)

{

float * ptr = (float *)(mat->data.ptr + row * mat->step);//每一行都要重新计算起始位置

for(int col =0;col<mat->cols;col++)

{

s+= *ptr ++; //ptr++指向下一个数据

}

}

return s;

}

int main()

{

float vals[]={0.866025,-0.