This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# LaplacianGaussianFilter

 LaplacianGaussianFilter convolves image with a Laplacian-of-Gaussian kernel of pixel radius r. LaplacianGaussianFilter[image, {r, }] convolves image with a Laplacian-of-Gaussian kernel of radius r and standard deviation . LaplacianGaussianFilterapplies Laplacian-of-Gaussian filtering to an array of data.
 Method "Bessel" how to determine elements of the Gaussian matrix Padding "Fixed" padding method WorkingPrecision Automatic the precision to use "Standardization" True whether to rescale and shift the Gaussian matrix to account for truncation
• In LaplacianGaussianFilter, data can be an array of any rank, and can contain symbolic as well as numerical entries.
Find edge features in a color image:
Laplacian of Gaussian applied to a grayscale image:
Find the edges of an object, showing the inside of the edge in darker tones and the outside in brighter tones:
Laplacian of Gaussian filter of a numeric array:
Find edge features in a color image:
 Out[1]=

Laplacian of Gaussian applied to a grayscale image:
 Out[1]=

Find the edges of an object, showing the inside of the edge in darker tones and the outside in brighter tones:
 Out[1]=

Laplacian of Gaussian filter of a numeric array:
 Out[1]=
 Applications   (2)
Detect edges by finding the zero crossings of a LoG filtered image:
Apply a LoG filter to the output of a distance transform: