图像处理－形态学操作－－腐蚀

腐蚀：求局部最小值

 

 

erode()
void cv::erode     (     InputArray      src,
        OutputArray      dst,
        InputArray      kernel,
        Point      anchor = Point(-1,-1),
        int      iterations = 1,
        int      borderType = BORDER_CONSTANT,
        const Scalar &      borderValue = morphologyDefaultBorderValue()
    )         
Python:
    dst    =    cv.erode(    src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]    )

Erodes an image by using a specific structuring element.

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:

 

 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.

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.

　　　　输入图像(要处理的图片);
    dst    output image of the same size and type as src.

　　　　输出图像(处理后的图片)
    kernel    structuring element used for erosion; if element=Mat(), a 3 x 3 rectangular structuring element is used. Kernel can be created using getStructuringElement.

　　　　　用于腐蚀的结构元素;如果元素= mat（），则使用3×3矩形结构元素。可以使用getstructuringElement创建内核。
    anchor    position of the anchor within the element; default value (-1, -1) means that the anchor is at the element center.

　　　　　　锚的位置在元件内;默认值（-1，-1）表示锚点位于元素中心。
    iterations    number of times erosion is applied.

　　　　　　　应用腐蚀的次数。
    borderType    pixel extrapolation method, see BorderTypes

　　　　　　　像素外推/拓展方法(图像边缘的像素点)
    borderValue    border value in case of a constant border

　　　　　　　　恒定边界的边界值

See also
    dilate, morphologyEx, getStructuringElement

Examples:
    morphology2.cpp, Morphology_1.cpp, and segment_objects.cpp.

 

getStructuringElement()
Mat cv::getStructuringElement  ( int      shape,
        Size      ksize,
        Point      anchor = Point(-1,-1)
    )         
Python:
    retval    =    cv.getStructuringElement(    shape, ksize[, anchor]    )

Returns a structuring element of the specified size and shape for morphological operations.

返回指定大小和形状的结构化元素以进行形态操作。

The function constructs and returns the structuring element that can be further passed to erode, dilate or morphologyEx. But you can also construct an arbitrary binary mask yourself and use it as the structuring element.
函数构造并返回可以进一步传递给侵蚀，扩张或数量的结构元素。但您还可以自己构建任意二进制掩码并将其用作结构化元素。

Parameters

    shape    Element shape that could be one of MorphShapes

　　　　　元素形状，可能是morphshapes之一
    ksize    Size of the structuring element.

　　　　　结构元素的大小　　　　　
    anchor    Anchor position within the element. The default value (−1,−1) means that the anchor is at the center. Note that only the shape of a cross-shaped element depends on the anchor position. In other cases the anchor just regulates how much the result of the morphological operation is shifted.
　　　　　元素内的锚定位置。默认值（-1，-1）表示锚点位于中心。注意，仅横形元件的形状取决于锚定位置。在其他情况下，锚点只是调节形态操作的结果转变了多少。

 

 

 

 

 

参考链接：

https://docs.opencv.org/3.4.2/d4/d86/group__imgproc__filter.html#gaeb1e0c1033e3f6b891a25d0511362aeb

https://docs.opencv.org/3.4.2/d4/d86/group__imgproc__filter.html#gac342a1bb6eabf6f55c803b09268e36dc