erode

最新推荐文章于 2020-12-18 15:34:50 发布

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本文介绍了如何使用OpenCV库中的erode函数实现图像侵蚀效果。文中详细解释了该函数的各项参数及其作用，并说明了该操作可以应用于图像的多个通道独立处理。此外，还提到了可以通过迭代多次应用侵蚀来达到不同的效果。

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Erodes an image by using a specific structuring element.

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

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

C: void cvErode (const CvArr* src, CvArr* dst, IplConvKernel* element=NULL, int iterations=1 )

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

Parameters:

Parameters:	src – input image; the number of channels can be arbitrary, but the depth should be one of `CV_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 erosion; if `element=Mat()` , a `3 x 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 erosion is applied. borderType – pixel extrapolation method (see `borderInterpolate()` for details). borderValue – border value in case of a constant border (see `createMorphologyFilter()` for details).

src – input image; the number of channels can be arbitrary, but the depth should be one of CV_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 erosion; if element=Mat() , a 3 x 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 erosion is applied.
borderType – pixel extrapolation method (see borderInterpolate() for details).
borderValue – border value in case of a constant border (see createMorphologyFilter() for details).

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

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

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