//做卷积
void cvFilter2D(
const CvArr* src,
CvArr* dst,
const CvMat* kernel, //如果定义了anchor可为偶数，否则为奇数 且类型须为CV_32FC1
CvPoint anchor = cvPoint(-1,-1) //默认值为核的中间点
);
//处理边界
void cvCopyMakeBorder(
const CvArr* src,
CvArr* dst,
CvPoint offset, //原始图片放置目标图像偏移 ref：cvPoint((N-1)/2,(N-1)/2)
(Ax , Ay) anchor不在正中心时
int bordertype, //IPL_BORDER_CONSTANT or IPL_BORDER_REPLICATE
(IPL_BORDER_REFLECT and IPL_BORDER_WRAP) no implement now
CvScalar value = cvScalarAll(0)
);
//卷积应用之一：导数
cvSobel(
const CvArr* src,
CvArr* dst, //IPL_DEPTH_16S防止溢出
int xorder, //xorder,yorder必须非零
int yorder,
int aperture_size = 3 //模板大小 CV_SCHARR可减少小尺寸Sobel算子不精确的问题
);
void cvLaplace(
const CvArr* src, 8u 32f
CvArr* dst, 16s 32f
int apertureSize = 3
);
void cvCanny(
const CvArr* img, //须是灰度图
CvArr* edges,
double lowThresh,
double highThresh,
int apertureSize = 3
);
//Hough变换
CvSeq* cvHoughLines2(
CvArr* image,
void* line_storage,
int method, //SHT不用param1 param2 PPHT MSHT
double rho,
double theta,
int threshold, //检测多少个点才返回线
double param1 = 0, 返回线的最小长度 rho/param1
double param2 = 0 线的分隔（共线时是否合并） theta/param2
);
CvSeq* cvHoughCircles(
CvArr* image,
void* circle_storage,
int method, //必须设为CV_HOUGH_GRADIENT
double dp, //output精度 dp>=1
double min_dist, //将其视为两个圆的最小距离
double param1 = 100, //CANNY门限 high=param1 low=param1/2
double param2 = 300, //累积门限
int min_radius = 0,
int max_radius = 0
);
//映射
void cvRemap(
const CvArr* src,
CvArr* dst,
const CvArr* mapx,
const CvArr* mapy,
int flags = CV_INTER_LINEAR | CV_WARP_FILL_OUTLIERS, //CV_WARP_FILL_OUTLIERS外面的将被填充
CvScalar fillval = cvScalarAll(0)
);
//flags values Meaning
CV_INTER_NN Nearest neighbor
CV_INTER_LINEAR Bilinear (default)
CV_INTER_AREA Pixel area resampling
CV_INTER_CUBIC Bicubic interpolation
//几何变换
//For Dense
void cvWarpAffine( void cvWarpPerspective(
const CvArr* src, const CvArr* src,
CvArr* dst, CvArr* dst,
const CvMat* map_matrix, //(3x2) const CvMat* map_matrix, //(3x3)
int flags = CV_INTER_LINEAR | CV_WARP_FILL_OUTLIERS, int flags = CV_INTER_LINEAR + CV_WARP_FILL_OUTLIERS,
CvScalar fillval = cvScalarAll(0) CvScalar fillval = cvScalarAll(0)
); );
//较上面在某些情况下简单易用
void cvGetQuadrangleSubPix(
const CvArr* src,
CvArr* dst,
const CvMat* map_matrix
);
CvMat* cvGetAffineTransform( CvMat* cvGetPerspectiveTransform(
const CvPoint2D32f* pts_src, 3_POINTS const CvPoint2D32f* pts_src, 4_POINTS
const CvPoint2D32f* pts_dst, const CvPoint2D32f* pts_dst,
CvMat* map_matrix CvMat* map_matrix
); );
CvMat* cv2DRotationMatrix(
CvPoint2D32f center,
double angle,
double scale,
CvMat* map_matrix
);
//For Sparse
void cvTransform( void cvPerspectiveTransform(
const CvArr* src, const CvArr* src,
CvArr* dst, CvArr* dst,
const CvMat* transmat, const CvMat* mat
const CvMat* shiftvec = NULL );
);
//坐标变换
void cvCartToPolar(
const CvArr* x,
const CvArr* y,
CvArr* magnitude,
CvArr* angle = NULL,
int angle_in_degrees = 0
);
void cvPolarToCart(
const CvArr* magnitude,
const CvArr* angle,
CvArr* x,
CvArr* y,
int angle_in_degrees = 0
);
void cvLogPolar(
const CvArr* src,
CvArr* dst,
CvPoint2D32f center,
double m,
int flags = CV_INTER_LINEAR | CV_WARP_FILL_OUTLIERS
);
//离散傅里叶变换
void cvDFT(
const CvArr* src,
CvArr* dst, CV_DXT_INV_SCALE
int flags, //CV_DXT_FORWARD CV_DXT_INVERSE CV_DXT_SCALE CV_DXT_ROWS （打包方式不一样）
int nonzero_rows = 0 //当非 2^ 3^ 5^整数倍时 可忽略的行
);
//为了避免解包再乘而使用的API
void cvMulSpectrums(
const CvArr* src1,
const CvArr* src2,
CvArr* dst,
int flags //CV_DXT_MUL_CONJ(乘以共轭) CV_DXT_FORWARD
);
//离散余弦变换
void cvDCT(
const CvArr* src,
CvArr* dst,
int flags //已经考虑SCALE CV_DXT_SCALE 没效果
);
void cvIntegral(
const CvArr* image, 1 2 3 1 3 6
CvArr* sum, 2 3 4 3 8 15
CvArr* sqsum = NULL, 3 4 5 6 15 27
CvArr* tilted_sum = NULL
);
Void cvDistTransform(
const CvArr* src,
CvArr* dst,
int distance_type = CV_DIST_L2,
int mask_size = 3,
const float* kernel = NULL,
CvArr* labels = NULL
);
//直方图均衡
void cvEqualizeHist(
const CvArr* src,
CvArr* dst
);
源文件：http://www.cnblogs.com/westwind/archive/2009/08/04/1538590.html