Image Processing Toolbox™

imextendedmax - Extended-maxima transform

Syntax

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

Description

BW = imextendedmax(I,H) computes the extended-maxima transform, which is the regional maxima of the H-maxima transform. H is a nonnegative scalar.

Regional maxima are connected components of pixels with a constant intensity value, and whose external boundary pixels all have a lower value.

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(ndims(I),'maximal').

BW = imextendedmax(I,H,conn) computes the extended-maxima transform, where conn specifies the connectivity. conn can have any of the following scalar values.

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

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 0's and 1's. The 1-valued elements define neighborhood locations relative to the center element of conn. Note that conn must be symmetric about its center element.

Class Support

I can be of any nonsparse numeric class and any dimension. BW has the same size as I and is always logical.

Examples

I = imread('glass.png');
BW = imextendedmax(I,80);
imshow(I), figure, imshow(BW)

Reference

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

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