XImgprocInvokeCovarianceEstimation Method

public static void CovarianceEstimation(
	IInputArray src,
	IOutputArray dst,
	int windowRows,
	int windowCols
)

Public Shared Sub CovarianceEstimation ( 
	src As IInputArray,
	dst As IOutputArray,
	windowRows As Integer,
	windowCols As Integer
)

public:
static void CovarianceEstimation(
	IInputArray^ src, 
	IOutputArray^ dst, 
	int windowRows, 
	int windowCols
)

static member CovarianceEstimation : 
        src : IInputArray * 
        dst : IOutputArray * 
        windowRows : int * 
        windowCols : int -> unit 

Parameters

src

Type: Emgu.CVIInputArray
The source image. Input image must be of a complex type.

dst

Type: Emgu.CVIOutputArray
The destination estimated covariance matrix. Output matrix will be size (windowRows*windowCols, windowRows*windowCols).

windowRows

Type: SystemInt32
The number of rows in the window.

windowCols

Type: SystemInt32
The number of cols in the window. The window size parameters control the accuracy of the estimation. The sliding window moves over the entire image from the top-left corner to the bottom right corner. Each location of the window represents a sample. If the window is the size of the image, then this gives the exact covariance matrix. For all other cases, the sizes of the window will impact the number of samples and the number of elements in the estimated covariance matrix.

Reference