| DerivativeHelperFunctions |
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| DerivativeLaplacian |
The Laplacian is convolved across an image to find second derivative of the image.
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| GImageDerivativeOps |
Generalized operations related to compute different image derivatives.
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| GradientPrewitt |
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| GradientReduceToSingle |
Contains functions that reduce the number of bands in the input image into a single band.
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| GradientSobel |
Computes the image's first derivative along the x and y axises using the Sobel operator.
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| GradientThree |
Computes the image's first derivative along the x and y axises using [-1 0 1] kernel.
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| GradientTwo0 |
Computes the image's first derivative along the x and y axises using [-1 1] kernel, where the "center" of the
kernel is on the -1.
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| GradientTwo1 |
Computes the image's first derivative along the x and y axises using [-1 1] kernel, where the "center" of the
kernel is on the 1.
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| HessianFromGradient |
These functions compute the image hessian by computing the image gradient twice.
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| HessianSobel |
Computes the second derivative (Hessian) of an image using.
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| HessianThree |
Computes the second derivative (Hessian) of an image using.
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| HessianThreeDeterminant |
Computes the determinant of a Hessian computed by differentiating using [-1 0 1] kernel.
f(x,y) = Lxx*Lyy - Lxy2
The Lxx and Lyy have a kernel of [1 0 -2 0 1] and Lxy is:
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