Image Processing Toolbox    
imregionalmin

Find regional minima

Syntax

Description

BW = imregionalmin(I) computes the regional minima of I. The output binary image BW has value 1 corresponding to the pixels of I that belong to regional minima and 0 otherwise. BW is the same size as I.

Regional minima are connected components of pixels with the same intensity value, t, whose external boundary pixels all have a value greater than t.

By default, imregionalmin uses 8-connected neighborhoods for 2-D images and 26-connected neighborhoods for 3-D images. For higher dimensions, imregionalmin uses conndef(ndims(I),'maximal').

BW = imregionalmin(I,CONN) specifies the desired connectivity. CONN may 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 may 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 any nonsparse, numeric class and any dimension. BW is logical.

Example

See Also

conndef, imreconstruct, imregionalmax


  imregionalmax imresize