Smooth Image Using Gaussian Kernel

This example uses:

Open Live Script

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)

Figure Output image contains an axes object and other objects of type uiflowcontainer, uimenu, uitoolbar. The hidden axes object contains an object of type image.

Figure Input image contains an axes object and other objects of type uiflowcontainer, uimenu, uitoolbar. The hidden axes object contains an object of type image.

output = 
  Simulink.SimulationOutput:

                   tout: [51x1 double] 

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