2-D Convolution

Compute 2-D discrete convolution of two input matrices

  • Library:
  • Computer Vision Toolbox / Filtering

Description

The 2-D Convolution block computes the two-dimensional convolution of two input matrices. Assume that matrix A has dimensions (Ma, Na) and matrix B has dimensions (Mb, Nb). When the block calculates the full output size, the equation for the 2-D discrete convolution is:

C(i,j)=m=0(Ma1)n=0(Na1)A(m,n)*B(im,jn)

where 0i<Ma+Mb1 and 0j<Na+Nb1.

Ports

Input

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Input matrix, specified as either a matrix of intensity values or a matrix that represents one plane of an RGB video stream.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | fixed point

Input matrix, specified as either a matrix of intensity values or a matrix that represents one plane of an RGB video stream.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | fixed point

Output

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Convolution of the input matrices, returned as a matrix.

Dependencies

  • The dimensions of the output are dictated by the Output size parameter.

  • If the data type of the input is floating point, the output of the block is also floating point.

  • If all(size(I1)<size(I2)), the block returns an error.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | fixed point

Parameters

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Main Tab

Dimensions of the output.

The table describes the block output, given the following input dimensions:

  • I1 — (Ma, Na)

  • I2 — (Mb, Nb)

Output sizeOutput Output Dimension
FullFull two-dimensional convolution(Ma+Mb-1, Na+Nb-1).
Same as input port I1Central part of the convolution with the same dimensions as the input at port I1 
ValidOnly the parts of the convolution that are computed without the zero-padded edges of any input.(Ma-Mb+1, Na-Nb+1)

Normalize output by dividing the output by sqrt(sum(dot(I1p,I1p))*sum(dot(I2,I2))), where I1p is the portion of the I1 matrix that aligns with the I2 matrix.

Note

When you select the Normalized output check box, the block input cannot be fixed point.

Data Types Tab

For details on the fixed-point block parameters, see Specify Fixed-Point Attributes for Blocks .

Block Characteristics

Data Types

double | fixed point | integer | single

Multidimensional Signals

no

Variable-Size Signals

yes

Algorithms

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Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Introduced before R2006a