corr2
2-D correlation coefficient
Syntax
Description
Examples
Compute the correlation coefficient
Compute the correlation coefficient between an image and the same image processed with a median filter.
I = imread('pout.tif');
J = medfilt2(I);
R = corr2(I,J)
R = 0.9959
Input Arguments
A
— First input array
numeric array | logical array
First input array, specified as a numeric or logical array.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
B
— Second input array
numeric array | logical array
Second input array, specified as a numeric or logical array.
B
has the same size as the first input array,
A
.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
Output Arguments
R
— Correlation coefficient
numeric scalar
Correlation coefficient, returned as a numeric scalar.
Data Types: double
Algorithms
corr2
computes the correlation coefficient using
where
=
mean2(A)
, and
=
mean2(B)
.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
corr2
supports the generation of C
code (requires MATLAB®
Coder™). For more information, see Code Generation for Image Processing.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
This function fully supports GPU arrays. For more information, see Image Processing on a GPU.
Version History
Introduced before R2006aR2023a: Support for C code generation
corr2
now supports the generation of
C code (requires MATLAB
Coder).
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