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imextendedmax

Extended-maxima transform

Syntax

BW = imextendedmax(I,H)
BW = imextendedmax(I,H,conn)

Description

example

BW = imextendedmax(I,H) returns the extended-maxima transform for I, which is the regional maxima of the H-maxima transform. Regional maxima are connected components of pixels with a constant intensity value, and whose external boundary pixels all have a lower value. H is a nonnegative scalar. By default, imextendedmax uses 8-connected neighborhoods for 2-D images and 26-connected neighborhoods for 3-D images. For higher dimensions, imextendedmax uses conndef(numel(size(I)),'maximal').

BW = imextendedmax(I,H,conn) computes the extended-maxima transform, where conn specifies the connectivity.

Examples

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Read image into workspace.

I = imread('glass.png');

Calculate the extended-maxima transform.

BW = imextendedmax(I,80);

Display original image and transformed image side-by-side.

imshowpair(I,BW,'montage')

Input Arguments

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Input image, specified as a real, nonsparse numeric array of any dimension.

Example: I = imread('glass.png'); BW = imextendedmax(I,80);

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

H-maxima transform, specified as a real, nonnegative scalar.

Example: BW = imextendedmax(I,80);

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

Connectivity, specified as a one of the scalar values in the following table. By default, imextendedmax uses 8-connected neighborhoods for 2-D images and 26-connected neighborhoods for 3-D images. For higher dimensions, imextendedmax uses conndef(numel(size(I)),'maximal'). Connectivity can be defined in a more general way for any dimension by using for conn 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 around its center element.

Value

Meaning

Two-dimensional connectivities

4

4-connected neighborhood

8

8-connected neighborhood

Three-dimensional connectivities

6

6-connected neighborhood

18

18-connected neighborhood

26

26-connected neighborhood

Example: BW = imextendedmax(I,80,4);

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

Output Arguments

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Transformed image, returned as a logical array the same size as I.

References

[1] Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, 1999, pp. 170-171.

Extended Capabilities

Introduced before R2006a

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