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Operaciones morfológicas

Realice operaciones morfológicas como dilatar, erosionar y reconstruir, entre otras

Las operaciones morfológicas son un conjunto amplio de operaciones que sirven para procesar imágenes basadas en formas geométricas. En una operación morfológica, cada píxel de la imagen se ajusta en función del valor de otros píxeles de su entorno. Si se seleccionan la forma y el tamaño del entorno adecuadamente, se puede definir una operación morfológica sensible a ciertas formas de la imagen de entrada.

Funciones

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Realizar operaciones morfológicas

`imerode`	Erode image
`imdilate`	Dilate image
`imopen`	Apertura morfológica de imágenes
`imclose`	Cerrar morfológicamente imágenes
`imtophat`	Top-hat filtering
`imbothat`	Bottom-hat filtering
`imclearborder`	Suppress light structures connected to image border
`imfill`	Rellenar regiones y huecos en imágenes
`bwhitmiss`	Binary hit-miss operation
`bwmorph`	Morphological operations on binary images
`bwmorph3`	Morphological operations on binary volume
`bwperim`	Find perimeter of objects in binary image
`bwskel`	Reduce all objects to lines in 2-D binary image or 3-D binary volume
`bwulterode`	Ultimate erosion

Realizar una reconstrucción morfológica

`imreconstruct`	Morphological reconstruction
`imregionalmax`	Regional maxima
`imregionalmin`	Regional minima
`imextendedmax`	Extended-maxima transform
`imextendedmin`	Extended-minima transform
`imhmax`	H-maxima transform
`imhmin`	H-minima transform
`imimposemin`	Impose minima

Crear elementos estructurantes y arreglos de conectividad

`strel`	Elemento morfológico estructurante
`offsetstrel`	Morphological offset structuring element
`conndef`	Create connectivity array
`iptcheckconn`	Check validity of connectivity argument

Crear y usar tablas de consulta

`applylut`	Neighborhood operations on binary images using lookup tables
`bwlookup`	Nonlinear filtering using lookup tables
`makelut`	Create lookup table for use with `bwlookup`

Empaquetar imágenes binarias

`bwpack`	Pack binary image
`bwunpack`	Unpack binary image

Temas

Aspectos básicos de las operaciones morfológicas

Types of Morphological Operations
The most basic morphological operations are dilation and erosion. You can combine dilation and erosion for more specialized operations.
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.
Pixel Connectivity
Connectivity determines whether a center pixel and adjacent pixels belong to the same object.
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.

Aplicaciones de las operaciones morfológicas

Dilate an Image to Enlarge a Shape
Dilation adds pixels to boundary of an object. Dilation makes objects more visible and fills in small holes in the object.
Remove Thin Lines Using Erosion
Erosion removes pixels from the boundary of an object. Erosion removes islands and small objects so that only substantive objects remain.
Use Morphological Opening to Extract Large Image Features
You can use morphological opening to remove small objects from an image while preserving the shape and size of larger objects in the image.
Flood-Fill Operations
A flood fill operation assigns a uniform pixel value to connected pixels, stopping at object boundaries.

Ejemplos destacados

Detectar células mediante la detección de bordes y la morfología

Este ejemplo muestra cómo detectar un objeto contra el fondo utilizando la detección de bordes y la morfología básica.

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Marker-Controlled Watershed Segmentation

Use watershed segmentation to separate touching objects in an image.

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Granulometry of Snowflakes

Calculate the size distribution of snowflakes in an image by using morphological opening.

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Correct Nonuniform Illumination and Analyze Foreground Objects

Perform image preprocessing such as morphological opening and contrast adjustment. Then, create a binary image and compute statistics of image foreground objects.

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