Simulink

Image Inversion

This example shows how to use the V4L2 Video Capture and the SDL Video Display blocks from the Raspberry Pi® block library to implement an image inversion algorithm with a Simulink® model, and to run the model on Raspberry Pi hardware.

Introduction

Black and white image inversion refers to an image processing technique where light areas are mapped to dark, and dark areas are mapped to light. In other words, after image inversion black becomes white and white becomes black. An inverted black and white image can be thought of as a digital negative of the original image.

In this example, the inversion algorithm will be applied to the red (R), green (G) and blue (B) components of an image captured from a USB camera creating a color digital negative effect. The R, G and B components of the image are represented as uint8 values. That is, the range of the values that any of the color components can take is from 0 to 255. Assuming that the intensity value at position $(x, y)$ of the image is $I(x,y)$, the inversion mapping is defined by $I_{inverted}(x,y) = 255-I(x,y)$.

Prerequisites

Required Hardware

To run this example you will need the following hardware:

(Optional) To display the output video on an external monitor you will need the following:

  • HDMI or composite television, or a monitor with DVI or HDMI input, and appropriate cables.

  • USB mouse and keyboard

Task 1 - Configure and Run the Image Inversion Model in External Mode

In this task, you will connect a USB camera to your Raspberry Pi hardware, and run the image inversion model on Raspberry Pi hardware in External mode. When you run the model in External mode, the image is captured from the USB camera connected to the Raspberry Pi hardware and the results of the image inversion is sent back to the host computer to be displayed by the on SDL Video Display block.

1. Connect a compatible USB cameracompatible USB camera to a USB port of your Raspberry Pi hardware. Note that some USB cameras draw too much current from the USB port of Raspberry Pi hardware and may not work properly. Use a powered USB hubpowered USB hub in such cases.

2. Open the Image InversionImage Inversion model.

3. In the Simulink model, click on the V4L2 Video Capture block and note the 'Device name' parameter. Execute the following commands on the MATLAB command window to verify the 'Device name' parameter:

h = raspberrypi
[~, msg] = execute(h,'ls -al /dev/video*')

Typical output will be:

msg =
crw-rw---T+ 1 root video 81, 0 Dec 16 14:43 /dev/video0

Make sure that the video device file name displayed above matches to the 'Device name' parameter specified on the V4L2 Video Capture block mask.

4. Select Tools > Run on Target Hardware > Options.... Review the parameters on the page that opens. If you performed a Firmware Update, Board information will be automatically populated with the host name, user name and password of your Raspberry Pi hardware. If you have not performed a Firmware Update or you want to change the board parameters, enter the IP address, user name and password of your Raspberry Pi hardware.

5. In the model, change the Simulation mode on the toolbar to External.

6. In the model, click the Run button on the toolbar to run the model on Raspberry Pi hardware.

7. Observe the display of inverted images on the host computer with the SDL Video Display block.

8. While the model is running, double click on the Constant block and change the Constant value from 255 to 120, for example. Observe the resulting image effect.

9. Press the Stop button on the model to stop model execution.

Task 2 - (Optional) Configure and Run the Image Inversion Model as a Standalone Application

In this task, you will connect a monitor to Raspberry Pi hardware. The video captured from the USB camera will be inverted by the model running on Raspberry Pi hardware and displayed on the monitor connected to Raspberry Pi hardware.

1. Using appropriate cables, connect a monitor or television to the Raspberry Pi hardware. The monitor, once connected, will display the Linux desktop running on Raspberry Pi hardware.

2. Connect a USB mouse and a keyboard to the Raspberry Pi hardware's USB ports. Once connected, login to Linux desktop as you would to any Linux® computer. To find out the user name and the password of the board execute the following on the MATLAB command line:

h = raspberrypi

You will now configure and run the image inversion model on Raspberry Pi hardware as a standalone application. When you run the model, the image is captured from the USB camera connected to the Raspberry Pi hardware and the results of the image inversion is displayed on the monitor connected to the Raspberry Pi hardware.

3. Open the Image InversionImage Inversion model.

4. Select Tools > Run on Target Hardware > Options.... Review the parameters on the page that opens.

5. In the model, click the Deploy To Hardware button on the toolbar to run the model on the Raspberry Pi hardware. On the monitor connected to Raspberry Pi hardware, you will see a display of inverted images.

6. Stop the model running on the Raspberry Pi hardware by executing the following on the MATLAB® command line

h = raspberrypi;
stop(h,'raspberrypi_inversion');

Other Things to Try

  • Change the model to use a different constant value for each color component. Then, independently change the value of each of the constants to get a wider range of imaging effects.

Summary

This example showed a Simulink model implementing an image inversion algorithm. V4L2 Video Capture and the SDL Video Display blocks from the Raspberry Pi library were used to capture and display video data. The example showed how the model may be run in External mode, and as a standalone application on Raspberry Pi hardware.