boofcv.struct.sparse

Interface SparseImageOperator<T extends ImageBase>

All Known Subinterfaces:

PixelLikelihood<T>, SparseImageGradient<T,G>, SparseImageSample_F32<T>, SparseImageSample_F64<T>

All Known Implementing Classes:

ExampleTrackerMeanShiftLikelihood.RgbLikelihood, GradientSparsePrewitt_F32, GradientSparsePrewitt_U8, GradientSparseSobel_F32, GradientSparseSobel_U8, GradientSparseThree_F32, GradientSparseThree_U8, GradientSparseTwo0_F32, GradientSparseTwo0_U8, GradientSparseTwo1_F32, GradientSparseTwo1_U8, LikelihoodHistCoupled_PL_U8, LikelihoodHistCoupled_SB_U8, LikelihoodHueSatHistCoupled_PL_U8, LikelihoodHueSatHistInd_PL_U8, SparseGradientSafe, SparseIntegralGradient_NoBorder, SparseIntegralGradient_NoBorder_F32, SparseIntegralGradient_NoBorder_I32, SparseIntegralGradientKernel, SparseIntegralHaar_NoBorder_F32, SparseIntegralHaar_NoBorder_I32, SparseIntegralSample_F32, SparseIntegralSample_I32, SparseScaleGradient, SparseScaleSample_F64

public interface SparseImageOperator<T extends ImageBase>

Interface for operations which are applied to a single pixel or region around a single pixel

Method Summary

Modifier and Type	Method and Description
boolean	isInBounds(int x, int y) Checks to see if the entire sample region is contained inside the image or not.
void	setImage(T input) Specifies the image being processed.

Method Detail

setImage

void setImage(T input)

Specifies the image being processed.

Parameters:

input - Image being processed

isInBounds

boolean isInBounds(int x,
                   int y)

Checks to see if the entire sample region is contained inside the image or not. Depending on the implementation it might be able to handle out of bounds pixels or not.