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imregionalmin

Regional minima

Syntax

  • BW = imregionalmin(I)
    example
  • BW = imregionalmin(I,conn)
  • gpuarrayBW = imregionalmin(gpuarrayI,___)
    example

Description

example

BW = imregionalmin(I) returns the binary image BW that identifies the regional minima in I. Regional minima are connected components of pixels with a constant intensity value, and whose external boundary pixels all have a higher value. In BW, pixels that are set to 1 identify regional minima; all other pixels are set to 0.

BW = imregionalmin(I,conn) computes the regional minima, where conn specifies the desired connectivity. By default, imregionalmin uses 8-connected neighborhoods for 2-D images and 26-connected neighborhoods for 3-D images

example

gpuarrayBW = imregionalmin(gpuarrayI,___) performs the operation on a GPU. The input image must be a gpuArray. The function returns a gpuArray. This syntax requires Parallel Computing Toolbox™.

Code Generation support: Yes.

MATLAB Function Block support: Yes.

Examples

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Create a simple sample array with several regional minima.

A = 10*ones(10,10);
A(2:4,2:4) = 3;
A(6:8,6:8) = 8
A =

    10    10    10    10    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10    10    10    10    10    10    10    10    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10    10    10    10    10    10
    10    10    10    10    10    10    10    10    10    10

Calculate the regional minima. The function returns a binary image, the same size as the input image, in which pixels with the value 1 represent the regional minima. imregionalmin sets all other pixels in to 0.

regmin = imregionalmin(A)
regmin =

  10×10 logical array

   0   0   0   0   0   0   0   0   0   0
   0   1   1   1   0   0   0   0   0   0
   0   1   1   1   0   0   0   0   0   0
   0   1   1   1   0   0   0   0   0   0
   0   0   0   0   0   0   0   0   0   0
   0   0   0   0   0   1   1   1   0   0
   0   0   0   0   0   1   1   1   0   0
   0   0   0   0   0   1   1   1   0   0
   0   0   0   0   0   0   0   0   0   0
   0   0   0   0   0   0   0   0   0   0

Create a 10-by-10 pixel sample image that contains two regional minima.

A = 10*gpuArray.ones(10,10);
A(2:4,2:4) = 3;       % minima 3 lower than surround
A(6:8,6:8) = 8        % minima 8 lower than surroundA(6:8,6:8) = 7; 
A =

    10    10    10    10    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10     3     3     3    10    10    10    10    10    10
    10    10    10    10    10    10    10    10    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10     8     8     8    10    10
    10    10    10    10    10    10    10    10    10    10
    10    10    10    10    10    10    10    10    10    10
    10    10    10    10    10    10    10    10    10    10

Pass the sample image A to imregionalmin. The function returns a binary image, the same size as A, in which pixels with the value 1 represent the regional minima in A. imregionalmin sets all other pixels in to 0.

regmin = imregionalmin(A)
regmin =

     0     0     0     0     0     0     0     0     0     0
     0     1     1     1     0     0     0     0     0     0
     0     1     1     1     0     0     0     0     0     0
     0     1     1     1     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     1     1     1     0     0
     0     0     0     0     0     1     1     1     0     0
     0     0     0     0     0     1     1     1     0     0
     0     0     0     0     0     0     0     0     0     0
     0     0     0     0     0     0     0     0     0     0

Input Arguments

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

Example: I = imread('glass.png'); BW = imregionalmin(I);

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

Connectivity, specified as a one of the scalar values in the following table. 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'). 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 about 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: B = imregionalmin(A,4);

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

Input image for GPU, specified as a gpuArray.

Example: gpuarrayI = gpuArray(imread('cameraman.tif')); gpuarrayBW = imregionalmin(gpuarrayI);

Output Arguments

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

Transformed image, returned as a gpuArray.

More About

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Code Generation

This function supports the generation of C code using MATLAB® Coder™. Note that if you choose the generic MATLAB Host Computer target platform, the function generates code that uses a precompiled, platform-specific shared library. Use of a shared library preserves performance optimizations but limits the target platforms for which code can be generated. For more information, see Understanding Code Generation with Image Processing Toolbox.

When generating code, the optional second input argument, conn, must be a compile-time constant.

MATLAB Function Block

You can use this function in the MATLAB Function Block in Simulink.

Introduced before R2006a

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