Code
void cvSmooth(
const CvArr* src,
CvArr* dst,
int smoothtype = CV_GAUSSIAN,
int param1 = 3,
int param2 = 0,
double param3 = 0,
double param4 = 0
);
Smooth type Name In Nc Depth Depth Brief description
place? of src of dst
CV_BLUR Simple blur Yes 1,3 8u, 32f 8u, 32f Sum over a param1×param2
neighborhood with subsequent
scaling by 1/
(param1×param2).
CV_BLUR_NO Simple blur No 1 8u 16s (for 8u Sum over a param1×param2
_SCALE with no scaling source) or neighborhood.
32f (for 32f
source)
CV_MEDIAN Median blur No 1,3 8u 8u Find median over a
param1×param1 square
neighborhood.
CV_GAUSSIAN Gaussian blur Yes 1,3 8u, 32f 8u (for 8u Sum over a param1×param2
source) or neighborhood.
32f (for 32f
source)
CV_BILATERAL Bilateral filter No 1,3 8u 8u Apply bilateral 3-by-3 fi ltering
with color sigma=param1 and
a space sigma=param2
void cvErode(
IplImage* src,
IplImage* dst,
IplConvKernel* B = NULL,
int iterations = 1
);
void cvDilate(
IplImage* src,
IplImage* dst,
IplConvKernel* B = NULL,
int iterations = 1
);
IplConvKernel* cvCreateStructuringElementEx(
int cols,
int rows,
int anchor_x,
int anchor_y,
int shape,
int* values=NULL
);
//Shape value Meaning
CV_SHAPE_RECT The kernel is rectangular
CV_SHAPE_CROSS The kernel is cross shaped
CV_SHAPE_ELLIPSE The kernel is elliptical
CV_SHAPE_CUSTOM The kernel is user-defi ned via values
void cvMorphologyEx(
const CvArr* src,
CvArr* dst,
CvArr* temp,
IplConvKernel* element,
int operation,
int iterations = 1
);
//Value of operation Morphological operator Requires temp image?
CV_MOP_OPEN Opening No
CV_MOP_CLOSE Closing No
CV_MOP_GRADIENT Morphological gradient Always
CV_MOP_TOPHAT Top Hat For in-place only (src = dst)
CV_MOP_BLACKHAT Black Hat For in-place only (src = dst)
void cvFloodFill(
IplImage* img,
CvPoint seedPoint,
CvScalar newVal,
CvScalar loDiff = cvScalarAll(0),
CvScalar upDiff = cvScalarAll(0),
CvConnectedComp* comp = NULL, //Non-NULL 将记录被填区域的统计信息
int flags = 4, //（0-7）{4，水平垂直邻域；8，+对角线}（16-23）{CV_FLOODFILL_FIXED_RANGE 与SeedPoint
比较，否则Neighborhood；CV_FLOODFILL_MASK_ONLY 对MASK上位置操作，否则源图像}(8–15)
{MASK被赋的值}
CvArr* mask = NULL //初始化
);
void cvResize(
const CvArr* src,
CvArr* dst,
int interpolation = CV_INTER_LINEAR
);
//Interpolation Meaning
CV_INTER_NN Nearest neighbor
CV_INTER_LINEAR Bilinear
CV_INTER_AREA Pixel area re-sampling
CV_INTER_CUBIC Bicubic interpolation
void cvPyrDown(
IplImage* src,
IplImage* dst,
IplFilter filter = IPL_GAUSSIAN_5x5
);
void cvPyrUp(
IplImage* src,
IplImage* dst,
IplFilter filter = IPL_GAUSSIAN_5x5
);
//PyrUp() is not the inverse of PyrDown().
//L i = G i - PyrUp(G i+1) Laplacian Pyramids Gaussian Pyramids
void cvPyrSegmentation(
IplImage* src,
IplImage* dst,
CvMemStorage* storage,
CvSeq** comp,
int level,
double threshold1,
double threshold2
);
//！！！注意长宽须是2的幂的倍数，具体指数须看需做的pyramid level number
CvMemStorage* storage = cvCreateMemStorage();
int n_comp = comp->total;
for( int i=0; i<n_comp; i++ ) {
CvConnectedComp* cc = (CvConnectedComp*) cvGetSeqElem( comp, i );
do_something_with( cc );
}
typedef struct CvConnectedComponent {
double area;
CvScalar value;
CvRect rect;
CvSeq* contour;
};
double cvThreshold(
CvArr* src,
CvArr* dst, //三种可能：0，M，SRC i
double threshold,
double max_value,
int threshold_type
);
//Threshold type Operation
CV_THRESH_BINARY dst j=(src j >T)?M:0
CV_THRESH_BINARY_INV dst j=(src j >T)?0:M
CV_THRESH_TRUNC dst j=(src j >T)?M:src j
CV_THRESH_TOZERO_INV dst j=(src j >T)?0:src j
CV_THRESH_TOZERO dst j=(src j >T)?src j:0
void cvAdaptiveThreshold(
CvArr* src,
CvArr* dst,
double max_val,
int adaptive_method = CV_ADAPTIVE_THRESH_MEAN_C //CV_ADAPTIVE_THRESH_GAUSSIAN_C 加权不等，否则相等
int threshold_type = CV_THRESH_BINARY,
int block_size = 3,
double param1 = 5
);