Smooth Image Using Gaussian Kernel

This example shows you how to smooth an image using the Gaussian kernel.

Example Model

Open the Simulink® model.

modelname = "ex_blk2DCorrelation.slx";
open_system(modelname)

This model reads a PNG image using the Image From File block, which outputs it as a matrix of data type double.

The model then smoothes the image by using a 2-D Correlation block to correlate the input image with a 5-by-5 representation of the Gaussian kernel.

Simulate the Model

Run the model. The model displays the input image and the smoothed output image using Video Viewer blocks.

output = sim(modelname)

output = 
  Simulink.SimulationOutput:
                   tout: [51x1 double] 

     SimulationMetadata: [1x1 Simulink.SimulationMetadata] 
           ErrorMessage: [0x0 char]