A framework for image processing with the dsk6416

Introduction

This module describes general procedures for reading and writing stills images. The scripts and models created in this chapter will be the basis for image processing algorithms simulation and implementation using the DSK6416.

Related files

• Simulink Model for Simulation - stills_sim.mdl
• Input Image - TMW2.jpg
• MATLAB script for Real-Time - Picture_script.m
• Simulink Model for Real-Time - stills_R_W.mdl

Activating ccs under simulink®

This section will show you how to activate CCS under the Simulink.

1. Create a new Simulink model.
2. Open the Simulink library browser and add the "C6416DSK" from the "Target Preferences" group of the "Embedded Target for the TI TMS320C6000 DSP" Blockset (Please refer to Figure 1).

   

3. Set the model to “Generate a CCS Project” in the Simulation->Configuration Parameters ->Build Action, as shown in the following picture:

We now need to create Simulink dedicated blocks to execute CCS commands. The first is the “Build”. We can do this in many ways: clicking Build icon, pressing Ctrl-B or in MATLAB® typing make_rtw. Given this command is available in MATLAB, we will create a custom block with this command.

• Drag in an empty subsystem into the model (Simulink->Ports&Subsystem->Subsystem)
• Delete its contents
• Format it
  • Give it a name. In our example we use “Generate Code&Create Project”
  • Choose the shadow, colour etc…
  • Right click on the Subsystem, choose “ Block Properties”. Go to the Callbacks tab, and under OpenFcn enter: “make_rtw;”, as shown in the following picture:

  

• Repeat this process for the following commands as follows:

  Block Name	CCS Command	OpenFcn
  Build	Build in CCS:	CCS_Obj.build;
  Load	Load Program in CCS:	CCS_Obj.load([pwd,'\',bdroot,'_c6000_rtw\', bdroot, '.out']);
  Run	Run on target:	CCS_Obj.run;
  Halt	Halt on target:	CCS_Obj.halt;
  Reset	Reset target:	CCS_Obj.reset;
  Close Active Project	Close Active Project	close(CCS_Obj,[],'project')

  Your model should look as follows:

  

Image (stills) i/o

Simulation

Figure 5 shows the data flow for the edge detection simulation. The Edge detection model reads the source picture from a file in the PC, and displays both the original and the processed images.

Reading and displaying a picture

1. Start by creating a new model in Simulink
2. Open the Simulink library browser and add the "Image from File" from the "Sources" group of the Video and Image Processing Blockset (Please refer to Figure 6). This block reads an image and converts it to the RGB format in Simulink .

   

3. Double Click and select the TMW2.jpg image (Please refer to Figure 7).

   

4. In order to display the picture the "Video Viewer" from the "Sinks" group of the Video and Image Processing Blockset (Please refer to Figure 8). This block displays an input RGB or intensity video stream or image. The edge detection block operates on intensity images.

   

5. Select the "intensity" input format as shown in Figure 9.

   

6. The conversion from RGB to intensity will be executed in the Color Space Conversion: from the "Conversions" group of the Video and Image Processing Blockset (Please refer to Figure 10).

   

7. Double Click and select the "R'G'B' to intensity" conversion scheme as shown in Figure 11.

   

8. Connect the three blocks as shown in Figure 12.

   

9. Run the model, you should get the image shown in Figure 13