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Laplacian of Gaussian Filtering

size
kernel display
matrix
continuous 3D
image
baby
letters
Kernel
Result
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
-
1
π
4
σ
1-
2
x
+
2
y
2
2
σ
-
2
x
+
2
y
2
2
σ
.
The standard deviation
σ
is chosen to be one fifth of the width of the kernel.
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