Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

imextendedmin

Extended-minima transform

Syntax

BW = imextendedmin(I,h)
BW = imextendedmin(I,h,conn)

Description

example

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

BW = imextendedmin(I,h,conn) computes the extended-minima transform, which is the regional minima of the H-minima transform. h is a nonnegative scalar.

Examples

collapse all

Read image into the workspace.

I = imread('glass.png');

Calculate the extended-minima transform.

BW = imextendedmin(I,50);

Display the original image and the transformation side-by-side.

imshowpair(I,BW,'montage');

Input Arguments

collapse all

Input array, specified as a 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 nonnegative scalar.

Example: BW = imextendedmin(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, imextendedmin uses 8-connected neighborhoods for 2-D images and 26-connected neighborhoods for 3-D images. For higher dimensions, imextendedmin 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 = imextendedmin(I,80,4);

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

Output Arguments

collapse all

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

Was this topic helpful?