Package boofcv.alg.filter.derivative
Class DerivativeLaplacian
java.lang.Object
boofcv.alg.filter.derivative.DerivativeLaplacian
The Laplacian is convolved across an image to find second derivative of the image. It is often a faster way to compute the intensity of an edge than first derivative algorithms.
This implementation of the laplacian has a 3 by 3 kernel.
partial^2 f partial^2 f
f(x,y) = ~~~~~~~~~~~ + ~~~~~~~~~~~
partial x^2 partial x^2
[ 0 1 0 ]
kernel = [ 1 -4 1 ]
[ 0 1 0 ]
This formulation is derived by using the [-1 1 0] and [0 -1 1] difference kernels for the image derivative. Alternative formulations can be found using other kernels.
DEVELOPER NOTE: This is still a strong candidate for further optimizations due to redundant array accesses.
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Field Summary
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic voidprocess(GrayF32 orig, GrayF32 deriv, @Nullable ImageBorder_F32 border) Computes the Laplacian of 'orig'.static voidComputes Laplacian on an U8 image but outputs derivative in a F32 image.static voidprocess(GrayU8 orig, GrayS16 deriv, @Nullable ImageBorder_S32<GrayU8> border) Computes the Laplacian of input image.
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Field Details
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kernel_I32
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kernel_F32
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Constructor Details
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DerivativeLaplacian
public DerivativeLaplacian()
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Method Details
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process
public static void process(GrayU8 orig, GrayS16 deriv, @Nullable @Nullable ImageBorder_S32<GrayU8> border) Computes the Laplacian of input image.- Parameters:
orig- Input image. Not modified.deriv- Where the Laplacian is written to. Modified.
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process
Computes Laplacian on an U8 image but outputs derivative in a F32 image. Removes a step when processing images for feature detection -
process
Computes the Laplacian of 'orig'.- Parameters:
orig- Input image. Not modified.deriv- Where the Laplacian is written to. Modified.
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