Laplacian of Gaussian Filtering

This Demonstration shows the filtering of an image using a 2D convolution with the Laplacian of a Gaussian kernel.
This operation is useful for detecting features or edges in images.
The kernel is sampled and normalized using the Laplacian of the Gaussian function .
The standard deviation is chosen to be one fifth of the width of the kernel.



  • [Snapshot]
  • [Snapshot]
  • [Snapshot]
    • Share:

Embed Interactive Demonstration New!

Just copy and paste this snippet of JavaScript code into your website or blog to put the live Demonstration on your site. More details »

Files require Wolfram CDF Player or Mathematica.