Laplacian of Gaussian Filtering

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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.


Contributed by: Yu-Sung Chang (March 2011)
Open content licensed under CC BY-NC-SA



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