bwulterode

Ultimate erosion

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Syntax

BW2 = bwulterode(BW)
BW2 = bwulterode(BW,method)
BW2 = bwulterode(___,conn)

Description

BW2 = bwulterode(BW) computes the ultimate erosion of the binary image BW. The ultimate erosion of BW consists of the regional maxima of the Euclidean distance transform of the complement of BW.

example

BW2 = bwulterode(BW,method) specifies the distance transform method.

BW2 = bwulterode(___,conn) specifies the pixel connectivity.

Examples

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Open Live Script

Read a binary image into the workspace and display it.

originalBW = imread('circles.png');
imshow(originalBW)

Figure contains an axes object. The hidden axes object contains an object of type image.

Perform the ultimate erosion of the image and display it.

ultimateErosion = bwulterode(originalBW);
figure, imshow(ultimateErosion)

Figure contains an axes object. The hidden axes object contains an object of type image.

Input Arguments

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Binary image, specified as a numeric or logical array of any dimension. For numeric input, any nonzero pixels are considered to be 1 (true).

Example: BW = imread('circles.png');

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

Distance transform method, specified as one of the values in this table.

Method

Description

"chessboard"

In 2-D, the chessboard distance between (x1,y1) and (x2,y2) is

max(│x1 – x2│,│y1 – y2│).

"cityblock"

In 2-D, the cityblock distance between (x1,y1) and (x2,y2) is

│x1 – x2│ + │y1 – y2│

"euclidean"

In 2-D, the Euclidean distance between (x1,y1) and (x2,y2) is

(x1−x2)2+(y1−y2)2.

"quasi-euclidean"

In 2-D, the quasi-Euclidean distance between (x1,y1) and (x2,y2) is

|x1−x2|+(2−1)|y1−y2|, |x1−x2|>|y1−y2|

(2−1)|x1−x2|+|y1−y2|, otherwise.

For more information, see Distance Transform of a Binary Image.

Pixel connectivity, specified as one of the values in this table. The default connectivity is 8 for 2-D images, and 26 for 3-D images.

Value

Meaning

Two-Dimensional Connectivities

4

Pixels are connected if their edges touch. The neighborhood of a pixel are the adjacent pixels in the horizontal or vertical direction.

3-by-3 pixel neighborhood with four pixels connected to the center pixel

Current pixel is shown in gray.

8

Pixels are connected if their edges or corners touch. The neighborhood of a pixel are the adjacent pixels in the horizontal, vertical, or diagonal direction.

3-by-3 pixel neighborhood with 8 pixels connected to the center pixel

Current pixel is shown in gray.

Three-Dimensional Connectivities

6

Pixels are connected if their faces touch. The neighborhood of a pixel are the adjacent pixels in:

  • One of these directions: in, out, left, right, up, and down

3-by-3-by-3 pixel neighborhood with 6 pixels connected to the faces of the center pixel

Current pixel is shown in gray.

18

Pixels are connected if their faces or edges touch. The neighborhood of a pixel are the adjacent pixels in:

  • One of these directions: in, out, left, right, up, and down

  • A combination of two directions, such as right-down or in-up

3-by-3-by-3 pixel neighborhood with 6 pixels connected to the faces and 12 pixels connected to the edges of the center pixel

Current pixel is center of cube.

26

Pixels are connected if their faces, edges, or corners touch. The neighborhood of a pixel are the adjacent pixels in:

  • One of these directions: in, out, left, right, up, and down

  • A combination of two directions, such as right-down or in-up

  • A combination of three directions, such as in-right-up or in-left-down

3-by-3-by-3 pixel neighborhood with 6 pixels connected to the faces, 12 pixels connected to the edges, and 8 pixels connected to the corners of the center pixel

Current pixel is center of cube.

For higher dimensions, bwulterode uses the default value conndef(ndims(BW),'maximal').

Connectivity can also be defined in a more general way for any dimension by specifying a 3-by-3-by- ... -by-3 matrix of 0s and 1s. The 1-valued elements define neighborhood locations relative to the center element of conn. Note that conn must be symmetric about its center element. See Specifying Custom Connectivities for more information.

Data Types: double | logical

Output Arguments

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Eroded image, returned as a logical array of the same size as BW.

Data Types: logical

Version History

Introduced before R2006a

See Also

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