dilate

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Dilates an image by using a specific structuring element.

C++: void dilate(InputArraysrc, OutputArray dst, InputArray kernel, Pointanchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar& borderValue=morphologyDefaultBorderValue())

Python:cv2.dilate(src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]) → dst

C: void cvDilate(const CvArr*src, CvArr* dst, IplConvKernel* element=NULL, intiterations=1 )

Python:cv.Dilate(src, dst, element=None, iterations=1) → None

Parameters:

src – input image; the number of channels can be arbitrary, but the depth should be one ofCV_8U, CV_16U, CV_16S,CV_32F` or``CV_64F.
dst – output image of the same size and type as src.
element – structuring element used for dilation; if element=Mat() , a 3x 3 rectangular structuring element is used.
anchor – position of the anchor within the element; default value(-1, -1) means that the anchor is at the element center.
iterations – number of times dilation is applied.
borderType – pixel extrapolation method (see borderInterpolate() for details).
borderValue – border value in case of a constant border (seecreateMorphologyFilter() for details).

The function dilates the source image using the specified structuring element that determines the shape of a pixel neighborhood over which the maximum is taken:

$\texttt{dst} (x,y) = \max _{(x',y'): \, \texttt{element} (x',y') \ne0 } \texttt{src} (x+x',y+y')$

The function supports the in-place mode. Dilation can be applied several ( iterations ) times. In case of multi-channel images, each channel is processed independently.