Cv2FindCirclesGrid Method (InputArray, Size, Point2f, FindCirclesGridFlags, Feature2D)
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            Finds centers in the grid of circles.
            
 
    Namespace: 
   OpenCvSharp
    Assembly:
   OpenCvSharp (in OpenCvSharp.dll) Version: 3.4.1.20180605-33-CaRLSharp
Syntaxpublic static bool FindCirclesGrid(
	InputArray image,
	Size patternSize,
	out Point2f[] centers,
	FindCirclesGridFlags flags = FindCirclesGridFlags.SymmetricGrid,
	Feature2D blobDetector = null
)
Public Shared Function FindCirclesGrid ( 
	image As InputArray,
	patternSize As Size,
	<OutAttribute> ByRef centers As Point2f(),
	Optional flags As FindCirclesGridFlags = FindCirclesGridFlags.SymmetricGrid,
	Optional blobDetector As Feature2D = Nothing
) As Boolean
public:
static bool FindCirclesGrid(
	InputArray^ image, 
	Size patternSize, 
	[OutAttribute] array<Point2f>^% centers, 
	FindCirclesGridFlags flags = FindCirclesGridFlags::SymmetricGrid, 
	Feature2D^ blobDetector = nullptr
)
static member FindCirclesGrid : 
        image : InputArray * 
        patternSize : Size * 
        centers : Point2f[] byref * 
        ?flags : FindCirclesGridFlags * 
        ?blobDetector : Feature2D 
(* Defaults:
        let _flags = defaultArg flags FindCirclesGridFlags.SymmetricGrid
        let _blobDetector = defaultArg blobDetector null
*)
-> bool 
OpenCvSharp.Cv2.FindCirclesGrid = function(image, patternSize, centers, flags, blobDetector);
Parameters
- image
 - Type: OpenCvSharpInputArray
grid view of input circles; it must be an 8-bit grayscale or color image. - patternSize
 - Type: OpenCvSharpSize
number of circles per row and column ( patternSize = Size(points_per_row, points_per_colum) ). - centers
 - Type: OpenCvSharpPoint2f
output array of detected centers. - flags (Optional)
 - Type: OpenCvSharpFindCirclesGridFlags
various operation flags that can be one of the FindCirclesGridFlag values - blobDetector (Optional)
 - Type: OpenCvSharpFeature2D
feature detector that finds blobs like dark circles on light background. 
Return Value
Type: 
Boolean
See Also