Cv2GaussianBlur Method

public static void GaussianBlur(
	InputArray src,
	OutputArray dst,
	Size ksize,
	double sigmaX,
	double sigmaY = 0,
	BorderTypes borderType = BorderTypes.Reflect101
)

Public Shared Sub GaussianBlur ( 
	src As InputArray,
	dst As OutputArray,
	ksize As Size,
	sigmaX As Double,
	Optional sigmaY As Double = 0,
	Optional borderType As BorderTypes = BorderTypes.Reflect101
)

public:
static void GaussianBlur(
	InputArray^ src, 
	OutputArray^ dst, 
	Size ksize, 
	double sigmaX, 
	double sigmaY = 0, 
	BorderTypes borderType = BorderTypes::Reflect101
)

static member GaussianBlur : 
        src : InputArray * 
        dst : OutputArray * 
        ksize : Size * 
        sigmaX : float * 
        ?sigmaY : float * 
        ?borderType : BorderTypes 
(* Defaults:
        let _sigmaY = defaultArg sigmaY 0
        let _borderType = defaultArg borderType BorderTypes.Reflect101
*)
-> unit 

Parameters

src

Type: OpenCvSharpInputArray
input image; the image can have any number of channels, which are processed independently, but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.

dst

Type: OpenCvSharpOutputArray
output image of the same size and type as src.

ksize

Type: OpenCvSharpSize
Gaussian kernel size. ksize.width and ksize.height can differ but they both must be positive and odd. Or, they can be zero’s and then they are computed from sigma* .

sigmaX

Type: SystemDouble
Gaussian kernel standard deviation in X direction.

sigmaY (Optional)

Type: SystemDouble
Gaussian kernel standard deviation in Y direction; if sigmaY is zero, it is set to be equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height, respectively (see getGaussianKernel() for details); to fully control the result regardless of possible future modifications of all this semantics, it is recommended to specify all of ksize, sigmaX, and sigmaY.

borderType (Optional)

Type: OpenCvSharpBorderTypes
pixel extrapolation method

Reference