laplacianOfGaussian

Create laplacian of gaussian $(LINK3 http://homepages.inf.ed.ac.uk/rbf/HIPR2/log.htm, (LoG)) filter kernel.

Slice!(Contiguous, [2], T*)

laplacianOfGaussian

(

T = double

)

(

T sigma

size_t width

size_t height

)

Parameters

sigma: Type: T
gaussian sigma variance value
width: Type: size_t
width of the kernel matrix
height: Type: size_t
height of the kernel matrix

Examples

1 t
2 {
3     import std.algorithm.comparison : equal;
4     import std.math : approxEqual;
5 
6     auto log = laplacianOfGaussian!float(0.84f, 3, 3);
7     auto expected = [0.147722, -0.00865228, 0.147722, -0.00865228,
8         -0.556277, -0.00865228, 0.147722, -0.00865228, 0.147722].sliced(3, 3);
9     assert(equal!approxEqual(log.flattened, expected.flattened)

laplacianOfGaussian

Parameters

Examples

Meta

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