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This module will describe the use of the “Edge Detection” Simulink® Block, to generate real-time DSP code for image and video processing.

Introduction

This chapter will describe the use of the “Edge Detection” Simulink® Block, both for stills images and video files.

The edge detection block

The "Edge Detection" block from the "Analysis&Enhancement" group of the Video and Image Processing Blockset (Please refer to Figure 1).

The Edge Detection Block

This block will enable you to simulate the edge detection procedure in the input image using the Sobel, Prewitt, Roberts, or Canny methods.

If the selected method is Sobel, Prewitt, or Roberts, the Edge Detection block finds the edges in an input image by approximating the gradient magnitude of the image. The block convolves the input matrix with the Sobel, Prewitt, or Roberts kernel. The block output can be either the result of this convolution operation (two gradient components of the image) or a binary image, obtained by comparing the convolution result against a threshold. If a pixel value is ‘1’, in this binary image it is an edge. Please refer to Figure 2

The Edge Detection Block Configuration Window for Sobel, Prewitt and Roberts Methods

If the selected method is Canny, the Edge Detection block finds edges by looking for the local maxima of the gradient of the input image. It calculates the gradient using the derivative of the Gaussian filter. The Canny method uses two thresholds to detect strong and weak edges. Please refer to Figure 3.

The Edge Detection Block Configuration Window for the Canny Method

Image (stills) processing

Simulation

  1. Open the “ stills_R_W.mdl ” Simulink model (generated in the " A Framework for Image Processing with the DSK6416 " module).
  2. Add the "Edge Detection" block from the "Analysis&Enhancement" group of the Video and Image Processing Blockset (Please refer to section ).
  3. Connect the various blocks as shown in Figure 4. Save your model.
    The Edge Detection Simulation Model for Stills
  4. Running this gives you the images shown in Figure 5.

    Input picture

    The processed picture

    Edge Detection - Simulation Results

You may repeat the simulation here to experiment the various algorithms with different thresholds.

Real-time

  1. Open the “ stills_R_W.mdl ” Simulink model (generated in the " A Framework for Image Processing with the DSK6416 " module).
  2. Add the "Edge Detection" block from from the "Analysis&Enhancement" group of the Video and Image Processing Blockset, as it was done for the simulation.
  3. Connect the various blocks as shown in Figure 6. Save the model (EdgeDetectionPictureDSK6416.mdl).
    The Edge Detection Real Time Implementation Model
  4. Generate code&create project. Double-click the " Generate code&.." block.
  5. Build the project. Double-click the “Build Project” block.
  6. Load the project. Double-click the “Load Project” block.
  7. Run the target. Double-click the “Run” block.
  8. Run the file “ “EdgeDetectionPicturescript.m” ”, this should give you the images in figure 7.

    The original color picture

    The original grayscale picture

    The received image(after edge detection)

    Edge Detection on the DSK6416

Video processing

Simulation

  1. Open the model “video_sim.mdl” model
  2. Add the "Edge Detection" block from from the "Analysis&Enhancement" group of the Video and Image Processing Blockset
  3. Add a second Video Viewer and connect the various blocks as shown in Figure 8. Save your model (EdgeDetectionVideoDSK6416.mdl).
    The Edge Detection Simulation Model for Video
  4. Run the model. A single frame of the input and output video is shown in Figure 9.

    Input video

    Processed video

    Edge Detection on Video

You may repeat the simulation here to experiment the various algorithms with different thresholds.

Real-time

  1. Connect the camera and the display to the board and open the “ Video_R_W.mdl ” (placed in the “ A Framework for Video Processing with the DM6437 DVDP ” module.).
    The Edge Detection Real Time Implementation Model
  2. Change the name of the “Video Processing” block to “Edge Detection” (Please refer to Figure 10). A new window will be opened
  3. Add the "Edge Detection" block from the "Analysis&Enhancement" group of the Video and Image Processing Blockset, as it was done for the simulation.
  4. Add the "Image Data Type Conversion" block from the " Conversion" group of the Video and Image Processing Blockset.
  5. Set the model in the Simulation->Configuration Parameters, as shown in Figure 11.
  6. Generate code&create project. Double-click the " Generate code&.." block
  7. Build the project. Double-click the “Build Project” block.
  8. Load the project. Double-click the “Load Project” block.
  9. Run the target. Double-click the “Run” block. The results will be diaplyed in the screen as shown in Figure 12.
    Configuration Parameters for CCS
    Edge Detection on Real-time Video

Questions & Answers

Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
Jyoti Reply
I only see partial conversation and what's the question here!
Crow Reply
what about nanotechnology for water purification
RAW Reply
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
Damian
yes that's correct
Professor
I think
Professor
what is the stm
Brian Reply
is there industrial application of fullrenes. What is the method to prepare fullrene on large scale.?
Rafiq
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
Damian
How we are making nano material?
LITNING Reply
what is a peer
LITNING Reply
What is meant by 'nano scale'?
LITNING Reply
What is STMs full form?
LITNING
scanning tunneling microscope
Sahil
how nano science is used for hydrophobicity
Santosh
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest. Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.? How this robot is carried to required site of body cell.? what will be the carrier material and how can be detected that correct delivery of drug is done Rafiq
Rafiq
if virus is killing to make ARTIFICIAL DNA OF GRAPHENE FOR KILLED THE VIRUS .THIS IS OUR ASSUMPTION
Anam
analytical skills graphene is prepared to kill any type viruses .
Anam
what is Nano technology ?
Bob Reply
write examples of Nano molecule?
Bob
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
Is there any normative that regulates the use of silver nanoparticles?
Damian Reply
what king of growth are you checking .?
Renato
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
Stoney Reply
why we need to study biomolecules, molecular biology in nanotechnology?
Adin Reply
?
Kyle
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
Adin
why?
Adin
what school?
Kyle
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
Damian Reply
research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
Praveena Reply
hi
Loga
what does nano mean?
Anassong Reply
nano basically means 10^(-9). nanometer is a unit to measure length.
Bharti
how did you get the value of 2000N.What calculations are needed to arrive at it
Smarajit Reply
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Source:  OpenStax, From matlab and simulink to real-time with ti dsp's. OpenStax CNX. Jun 08, 2009 Download for free at http://cnx.org/content/col10713/1.1
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