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形态学运算

膨胀、腐蚀、重新构造以及执行其他形态学运算

形态学是基于形状处理图像的一组广泛的图像处理运算。在形态学运算中，图像中的每个像素都基于其邻域中其他像素的值进行调整。通过选择邻域的大小和形状，您可以构造对输入图像中的特定形状敏感的形态学运算。

函数

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imerode腐蚀图像
imdilate膨胀图像
imopen对图像执行形态学开运算
imclose对图像执行形态学闭运算
imtophat顶帽滤波
imbothat底帽滤波
imclearborder隐藏连接到图像边界的光亮结构
imkeepborderRetain light structures connected to image border (自 R2023b 起)
imfill填充图像区域和孔
bwhitmissBinary hit-miss operation
bwmorph针对二值图像的形态学运算
bwmorph3Morphological operations on binary volume
bwperim找出二值图像中对象的边界
bwskelReduce all objects to lines in 2-D binary image or 3-D binary volume
bwulterodeUltimate erosion
imreconstructMorphological reconstruction
imregionalmax区域最大值
imregionalmin区域最小值
imextendedmax扩展最大值变换
imextendedmin扩展最小值变换
imhmaxSuppress regional maxima in image using H-maxima transform
imhminSuppress regional minima in image using H-minima transform
imimposeminImpose minima
strel形态学结构元素
offsetstrelMorphological offset structuring element
conndefCreate connectivity array
iptcheckconnCheck validity of connectivity argument
applylutNeighborhood operations on binary images using lookup tables
bwlookup Nonlinear filtering using lookup tables
makelutCreate lookup table for use with bwlookup
bwpackPack binary image
bwunpackUnpack binary image

主题

形态学的元素

  • 形态学运算的类型
    最基本的形态学运算是膨胀和腐蚀。您可以将膨胀和腐蚀结合起来进行更专门的运算。
  • Morphological Reconstruction
    Morphological reconstruction is used to extract marked objects from an image without changing the object size or shape.
  • Structuring Elements
    A structuring element defines the neighborhood used to process each pixel. A structuring element influences the size and shape of objects to process in the image.
  • Border Padding for Morphology
    Morphological dilation and erosion pad the image border in different ways to avoid border effects.
  • 像素连通性
    连通性确定一个中心像素和相邻像素是否属于同一个对象。
  • Lookup Table Operations
    A lookup table is a vector in which each element represents the different permutations of pixels in a neighborhood. Lookup tables are useful for custom erosion and dilation operations.

形态学的应用

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