机器视觉

RandArr用随机数填充数组并更新 RNG 状态 void cvRandArr( CvRNG* rng, CvArr* arr, int dist_type, CvScalar param1, CvScalar param2 );rng 被 cvRNG 初始化的 RNG 状态. arr 输出数组 dist_type 分布类型:CV_RAND_UNI - 均匀分布 CV_RAN

CVAPI(CvSeq*)  cvApproxPoly( const void* src_seq,                             int header_size, CvMemStorage* storage,                             int method, double parameter,

CvSeq 内存存储器中可以存储的一种对象。定义如下：#define CV_TREE_NODE_FIELDS(node_type)                          \    int       flags;         /* micsellaneous flags */          \    int       header_size;   /* size

CvTermCriteria  迭代算法的终止准则  #define CV_TERMCRIT_ITER    1  #define CV_TERMCRIT_NUMBER  CV_TERMCRIT_ITER  #define CV_TERMCRIT_EPS     2    typedef struct CvTermCriteria   {    int    type;  /* CV_TERMCR

CvMemStorage  内存储存器，双向链表，OpenCV以此统一管理动态内存。/* Creates new memory storage.   block_size == 0 means that default,   somewhat optimal size, is used (currently, it is 64K) */CVAPI(CvMemStorage*)  c

边缘检测函数cvCanny/* Runs canny edge detector */CVAPI(void)  cvCanny( const CvArr* image, CvArr* edges, double threshold1,                      double threshold2, int  aperture_size CV_DEFAULT(3) )

typedef struct _IplConvKernel{    int  nCols;    int  nRows;    int  anchorX;    int  anchorY;    int *values;    int  nShiftR;}IplConvKernel; /* creates structuring element used

void cvAdaptiveThreshold(const CvArr* src,CvArr* dst,double max_value,int adaptive_method=CV_ADAPTIVE_THRESH_MEAN_C,int threshold_type=CV_THRESH_BINARY,int block_size=3,double param1=5 )