conndef
Create connectivity array
Description
Examples
Create 2-D Connectivity Array with Minimal Connectivity
Create a 2-D connectivity array.
conn = conndef(2,'minimal')
conn = 3×3
0 1 0
1 1 1
0 1 0
Create 2-D Connectivity Array with Maximal Connectivity
Create a 2-D connectivity array.
conn = conndef(2,'maximal')
conn = 3×3
1 1 1
1 1 1
1 1 1
Create 3-D Connectivity Array with Minimal Connectivity
Create a 3-D connectivity array.
conndef(3,'minimal')
ans = ans(:,:,1) = 0 0 0 0 1 0 0 0 0 ans(:,:,2) = 0 1 0 1 1 1 0 1 0 ans(:,:,3) = 0 0 0 0 1 0 0 0 0
Input Arguments
num_dims
— Number of dimensions
positive integer
Number of dimensions, specified as a positive integer.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
type
— Type of neighborhood connectivity
'minimal'
| 'maximal'
Type of neighborhood connectivity, specified as 'minimal'
or
'maximal'
Value | Description |
---|---|
| Defines a neighborhood whose neighbors are touching the
central element on an ( |
| Defines a neighborhood including neighbors that touch
the central element in any way; it is |
Data Types: char
| string
Output Arguments
conn
— Pixel connectivity
3-by-3-by...-3 logical array
Pixel connectivity, returned as a 3-by-3-....-by-3
logical array. conn
is symmetric
about its center element. See Specifying Custom Connectivities for more
information.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
conndef
supports the generation of C code (requires MATLAB® Coder™). For more information, see Code Generation for Image Processing.When generating code, the
num_dims
andtype
arguments must be compile-time constants.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Usage notes and limitations:
When generating code, the
num_dims
andtype
arguments must be compile-time constants.
Version History
Introduced before R2006a
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