Matrix To Image

R2026b

Converts matrix data to Simulink image data

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Libraries:
Computer Vision Toolbox OpenCV Interface for Simulink

Description

The Matrix To Image block converts matrix data to Simulink® image data.

Examples

Smile Detection by Using OpenCV Code in Simulink

Smile Detection by Using OpenCV Code in Simulink

Build a smile detector by using the OpenCV Importer app. The detector estimates the intensity of the smile on a face image or a video. Based on the estimated intensity, the detector identifies an appropriate emoji from its database, and then places the emoji on the smiling face.

Convert RGB Image to Grayscale Image by Using OpenCV Importer

Convert RGB Image to Grayscale Image by Using OpenCV Importer

Convert an RGB image to a grayscale image by using the OpenCV Importer app. The converter converts an RGB image to a grayscale image by eliminating the hue and saturation information while retaining the luminance.

Shadow Detection by Using OpenCV Code in Simulink

Shadow Detection by Using OpenCV Code in Simulink

Detect shadows in a recorded video by using the OpenCV Importer app.

Ports

Input

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Input signal to the Matrix To Image block. The input is a numerical matrix.

Data Types: uint8 | uint16 | int8 | int16 | single | double

Output

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Output signal from the Matrix To Image block. The output is an image in Simulink.ImageType data type.

Data Types: Simulink.ImageType

Parameters

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Specify the number of rows in the image data as a positive integer.

Programmatic Use

Block Parameter: Rows
Type: double
Value: positive integer
Default: '480'

Specify the number of columns in the image data as a positive integer.

Programmatic Use

Block Parameter: Columns
Type: double
Value: positive integer
Default: '640'

Specify the number of color channels or samples for each pixel in the array as 1 or 3. The number of channels must correspond to the number of color channels in the color format of the image data. These are the values of Channels for the supported color formats:

ChannelsColor Format
1Grayscale
3RGB
3BGR

Programmatic Use

Block Parameter: Columns
Type: character vector
Value: positive integer
Default: '3'

Specify the data type of the underlying image data as one of these options:

  • 'uint8'

  • 'int8'

  • 'uint16'

  • 'int16'

  • 'uint32'

  • 'int32'

  • 'single'

  • 'double'

  • 'logical'

Programmatic Use

Block Parameter: ClassUnderlying
Type: character vector
Value: 'uint8' | 'int8' | 'uint16' | 'int16' | 'uint32' | 'int32' | 'single' | 'double' | 'logical'
Default: 'uint8'

Specify the memory arrangement of the matrix data in the image as Column-major or Row-major.

Programmatic Use

Block Parameter: Layout
Type: character vector
Value: 'Column-major' | 'Row-major'
Default: 'Column-major'

Specify what each color channel of a pixel represents in the underlying image data as Grayscale, RGB, or BGR.

Programmatic Use

Block Parameter: ColorFormat
Type: character vector
Value: 'Grayscale' | 'RGB' | 'BGR'
Default: 'RGB'

Block Characteristics

Data Types

double | single | uint8 | uint16 | int8 | int16 | int32 | image

Direct Feedthrough

Yes

Multidimensional Signals

Yes

Variable-Size Signals

No

Programmatic Use: Add Block

To add the block programmatically, use the add_block function with one of these library block paths as the source.

"opencvConverterBlockset/Matrix To Image"

Example: add_block("opencvConverterBlockset/Matrix To Image","myModel/myBlock",MakeNameUnique="on")

Extended Capabilities

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Version History

Introduced in R2021b

See Also

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