| CvXImgProcCovarianceEstimation Method |
Computes the estimated covariance matrix of an image using the sliding window forumlation.
Namespace:
OpenCvSharp.XImgProc
Assembly:
OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0
Syntax public static void CovarianceEstimation(
InputArray src,
OutputArray dst,
int windowRows,
int windowCols
)
Public Shared Sub CovarianceEstimation (
src As InputArray,
dst As OutputArray,
windowRows As Integer,
windowCols As Integer
)
public:
static void CovarianceEstimation(
InputArray^ src,
OutputArray^ dst,
int windowRows,
int windowCols
)
static member CovarianceEstimation :
src : InputArray *
dst : OutputArray *
windowRows : int *
windowCols : int -> unit
Parameters
- src
- Type: OpenCvSharpInputArray
The source image. Input image must be of a complex type. - dst
- Type: OpenCvSharpOutputArray
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.
Remarks
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.
See Also