Package boofcv.alg.filter.derivative.impl

Class Summary

Class	Description
DerivativeLaplacian_Inner	Laplacian which processes the inner image only
DerivativeLaplacian_Inner_MT	Laplacian which processes the inner image only
GradientPrewitt_Shared	Prewitt implementation that shares values for horizontal and vertical gradients
GradientPrewitt_Shared_MT	Prewitt implementation that shares values for horizontal and vertical gradients
GradientSobel_Naive	This implementation of the sobel edge dector is implements it in such as way that the code can be easily read and verified for correctness, however it is much slower than it needs to be.
GradientSobel_Outer	While not as fast as GradientSobel it a big improvement over GradientSobel_Naive and much more readable.
GradientSobel_Outer_MT	While not as fast as GradientSobel it a big improvement over GradientSobel_Naive and much more readable.
GradientSobel_UnrolledOuter	This is a further improvement on GradientSobel_Outer where it reduces the number of times the array needs to be read from by saving past reads in a local variable.
GradientSobel_UnrolledOuter_MT	This is a further improvement on GradientSobel_Outer where it reduces the number of times the array needs to be read from by saving past reads in a local variable.
GradientSparsePrewitt_F32	Sparse computation of the Prewitt gradient operator.
GradientSparsePrewitt_U8	Sparse computation of the Prewitt gradient operator.
GradientSparseSobel_F32	Sparse computation of the sobel gradient operator.
GradientSparseSobel_U8	Sparse computation of the sobel gradient operator.
GradientSparseThree_F32	Sparse computation of the three gradient operator.
GradientSparseThree_U8	Sparse computation of the three gradient operator.
GradientSparseTwo0_F32	Sparse computation of the two-0 gradient operator.
GradientSparseTwo0_U8	Sparse computation of the two-0 gradient operator.
GradientSparseTwo1_F32	Sparse computation of the two-0 gradient operator.
GradientSparseTwo1_U8	Sparse computation of the two-0 gradient operator.
GradientThree_Share	This is an attempt to improve the performance by minimizing the number of times arrays are accessed and partially unrolling loops.
GradientThree_Standard	Basic implementation of GradientThree with nothing fancy is done to improve its performance.
GradientThree_Standard_MT	Basic implementation of GradientThree with nothing fancy is done to improve its performance.
GradientTwo0_Standard	Basic implementation of GradientTwo0 with nothing fancy is done to improve its performance.
GradientTwo0_Standard_MT	Basic implementation of GradientTwo0 with nothing fancy is done to improve its performance.
GradientTwo1_Standard	Basic implementation of GradientTwo1 with nothing fancy is done to improve its performance.
GradientTwo1_Standard_MT	Basic implementation of GradientTwo1 with nothing fancy is done to improve its performance.
HessianSobel_Shared	Prewitt implementation that shares values for horizontal and vertical gradients
HessianThree_Standard	Basic implementation of HessianThree with nothing fancy is done to improve its performance.
HessianThreeDeterminant_Border	Hessian-Three derivative which processes the outer image border only
HessianThreeDeterminant_Inner	Hessian-Three derivative which processes the inner image only
HessianThreeDeterminant_Inner_MT	Hessian-Three derivative which processes the inner image only