OpenCV Interface for Simulink

Import OpenCV code into Simulink^®

The Computer Vision Toolbox™ Interface for OpenCV in Simulink enables you to import OpenCV code into Simulink. This support package requires Computer Vision Toolbox and Simulink Coder™.

You can also generate C++ code from the Simulink model and deploy into your target hardware.

You can import OpenCV code to a Simulink model by using the OpenCV Importer application. For more information, see Install and Use Computer Vision Toolbox Interface for OpenCV in Simulink.

Blocks

FromOpenCV	Converts OpenCV data types to Simulink data types
ToOpenCV	Converts Simulink data types to OpenCV data types

Topics

Install and Use Computer Vision Toolbox Interface for OpenCV in Simulink

Import OpenCV code into Simulink.

Featured Examples

Smile Detection by Using OpenCV Code in Simulink

Build a smile detector by using the OpenCV Importer. 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.

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Convert RGB Image to Grayscale Image by Using OpenCV Importer

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

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Draw Different Shapes by Using OpenCV Code in Simulink

Draw different shapes on images by using OpenCV Importer.

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Shadow Detection by Using OpenCV Code in Simulink

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

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Vehicle and Pedestrian Detector by Using OpenCV Importer

Build a Vehicle and Pedestrian Detector by using the OpenCV Importer. The model places green and red outline on the vehicle and pedestrians when detected in a recorded video.

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Video Cartoonizer by Using OpenCV Code in Simulink

Use video cartoonizer to enhance colors of the recorded video by using the OpenCV Importer. The cartoonizer varies the colors in the video using parameters such as maskRadius, threshold, and ramp.

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