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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.

(Over 500 lines omitted)

Contributed by: Yu-Sung Chang

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