Uses of Class
boofcv.struct.border.ImageBorder_S32
Packages that use ImageBorder_S32
Package
Description
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Uses of ImageBorder_S32 in boofcv.alg.filter.blur
Methods in boofcv.alg.filter.blur with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic GrayU16BlurImageOps.meanB(GrayU16 input, @Nullable GrayU16 output, int radiusX, int radiusY, @Nullable ImageBorder_S32<GrayU16> binput, @Nullable GrayU16 storage, @Nullable GrowArray<DogArray_I32> workVert) Applies a mean box filter with image borders.static GrayU8BlurImageOps.meanB(GrayU8 input, @Nullable GrayU8 output, int radiusX, int radiusY, @Nullable ImageBorder_S32<GrayU8> binput, @Nullable GrayU8 storage, @Nullable GrowArray<DogArray_I32> workVert) Applies a mean box filter with image borders. -
Uses of ImageBorder_S32 in boofcv.alg.filter.convolve
Methods in boofcv.alg.filter.convolve with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a 2D convolution across the image.static voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> border) Performs a 2D convolution across the image.static voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayU8 input, GrayI16 output, ImageBorder_S32<GrayU8> border) Performs a 2D convolution across the image.static voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayU8 input, GrayS32 output, ImageBorder_S32<GrayU8> border) Performs a 2D convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a 2D normalized convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_S32 kernel, GrayS32 src, GrayS32 dst, ImageBorder_S32<GrayS32> bsrc) Performs a 2D normalized convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_S32 kernel, GrayU16 src, GrayI16 dst, ImageBorder_S32<GrayU16> bsrc) Performs a 2D normalized convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_S32 kernel, GrayU8 src, GrayI8 dst, ImageBorder_S32<GrayU8> bsrc) Performs a 2D normalized convolution across the image.static intConvolveImageSparse.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, int x, int y) static voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a horizontal 1D convolution across the image.static voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> border) Performs a horizontal 1D convolution across the image.static voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayU8 input, GrayI16 output, ImageBorder_S32<GrayU8> border) Performs a horizontal 1D convolution across the image.static voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayU8 input, GrayS32 output, ImageBorder_S32<GrayU8> border) Performs a horizontal 1D convolution across the image.static voidConvolveImageMean.horizontal(GrayS16 input, GrayI16 output, int offset, int length, @Nullable ImageBorder_S32<GrayS16> binput) Performs a horizontal 1D mean box filter.static voidConvolveImageMean.horizontal(GrayU16 input, GrayI16 output, int offset, int length, @Nullable ImageBorder_S32<GrayU16> binput) Performs a horizontal 1D mean box filter.static voidConvolveImageMean.horizontal(GrayU8 input, GrayI8 output, int offset, int length, @Nullable ImageBorder_S32<GrayU8> binput) Performs a horizontal 1D mean box filter.static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayS32 src, GrayS32 dst, ImageBorder_S32<GrayS32> bsrc) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayU16 src, GrayI16 dst, ImageBorder_S32<GrayU16> bsrc) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayU8 src, GrayI8 dst, ImageBorder_S32<GrayU8> bsrc) Performs a horizontal 1D normalized convolution across the image.static intConvolveImageSparse.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, int x, int y) static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a vertical 1D convolution across the image.static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> border) Performs a vertical 1D convolution across the image.static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayU8 input, GrayI16 output, ImageBorder_S32<GrayU8> border) Performs a vertical 1D convolution across the image.static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayU8 input, GrayS32 output, ImageBorder_S32<GrayU8> border) Performs a vertical 1D convolution across the image.static voidConvolveImageMean.vertical(GrayS16 input, GrayI16 output, int offset, int length, @Nullable ImageBorder_S32<GrayS16> binput, @Nullable GrowArray<DogArray_I32> workspaces) Performs a vertical 1D mean box filter.static voidConvolveImageMean.vertical(GrayU16 input, GrayI16 output, int offset, int length, @Nullable ImageBorder_S32<GrayU16> binput, @Nullable GrowArray<DogArray_I32> workspaces) Performs a vertical 1D mean box filter.static voidConvolveImageMean.vertical(GrayU8 input, GrayI8 output, int offset, int length, @Nullable ImageBorder_S32<GrayU8> binput, @Nullable GrowArray<DogArray_I32> workspaces) Performs a vertical 1D mean box filter.static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a vertical 1D normalized convolution across the image.static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayS32 src, GrayS32 dst, ImageBorder_S32<GrayS32> bsrc) Performs a vertical 1D normalized convolution across the image.static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayU16 src, GrayI16 dst, ImageBorder_S32<GrayU16> bsrc) Performs a vertical 1D normalized convolution across the image.static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayU8 src, GrayI8 dst, ImageBorder_S32<GrayU8> bsrc) Performs a vertical 1D normalized convolution across the image.static intConvolveImageSparse.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, int x, int y) -
Uses of ImageBorder_S32 in boofcv.alg.filter.convolve.border
Methods in boofcv.alg.filter.convolve.border with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidConvolveJustBorder_General_SB.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, GrayI16 output) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, GrayI16 output, int divisor) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, GrayI8 output, int divisor) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, GrayS32 output) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_S32 kernel, ImageBorder_S32 input, GrayS32 output, int divisor) static voidConvolveJustBorder_General_SB.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI16 output) static voidConvolveJustBorder_General_SB.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI16 output, int divisor) static voidConvolveJustBorder_General_SB.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI8 output, int divisor) static voidConvolveJustBorder_General_SB.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayS32 output) static voidConvolveJustBorder_General_SB.horizontal(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayS32 output, int divisor) static voidConvolveJustBorder_General_SB.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI16 output) static voidConvolveJustBorder_General_SB.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI16 output, int divisor) static voidConvolveJustBorder_General_SB.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayI8 output, int divisor) static voidConvolveJustBorder_General_SB.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayS32 output) static voidConvolveJustBorder_General_SB.vertical(Kernel1D_S32 kernel, ImageBorder_S32 input, GrayS32 output, int divisor) -
Uses of ImageBorder_S32 in boofcv.alg.filter.convolve.normalized
Methods in boofcv.alg.filter.convolve.normalized with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> binput) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayU16 input, GrayI16 output, ImageBorder_S32<GrayU16> binput) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayU8 input, GrayI8 output, ImageBorder_S32<GrayU8> binput) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> binput) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayU16 input, GrayI16 output, ImageBorder_S32<GrayU16> binput) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayU8 input, GrayI8 output, ImageBorder_S32<GrayU8> binput) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayS32 input, GrayS32 output, ImageBorder_S32<GrayS32> binput) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayU16 input, GrayI16 output, ImageBorder_S32<GrayU16> binput) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayU8 input, GrayI8 output, ImageBorder_S32<GrayU8> binput) -
Uses of ImageBorder_S32 in boofcv.alg.filter.derivative
Methods in boofcv.alg.filter.derivative that return ImageBorder_S32Modifier and TypeMethodDescriptionstatic ImageBorder_S32GImageDerivativeOps.borderDerivative_I32()Creates a new instance of the default border for derivatives of integer imagesMethods in boofcv.alg.filter.derivative with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidHessianFromGradient.hessianPrewitt(GrayS16 inputDerivX, GrayS16 inputDerivY, GrayS16 derivXX, GrayS16 derivYY, GrayS16 derivXY, @Nullable ImageBorder_S32 border) Computes the hessian given an image's gradient using a Prewitt operator.static voidHessianFromGradient.hessianSobel(GrayS16 inputDerivX, GrayS16 inputDerivY, GrayS16 derivXX, GrayS16 derivYY, GrayS16 derivXY, @Nullable ImageBorder_S32 border) Computes the hessian given an image's gradient using a Sobel operator.static voidHessianFromGradient.hessianThree(GrayS16 inputDerivX, GrayS16 inputDerivY, GrayS16 derivXX, GrayS16 derivYY, GrayS16 derivXY, @Nullable ImageBorder_S32 border) Computes the hessian given an image's gradient using a three derivative operator.static voidDerivativeLaplacian.process(GrayU8 orig, GrayS16 deriv, @Nullable ImageBorder_S32<GrayU8> border) Computes the Laplacian of input image.static voidGradientPrewitt.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative in the X and Y direction using an integer Prewitt edge detector.static voidGradientPrewitt.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative in the X and Y direction using an integer Prewitt edge detector.static voidGradientScharr.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32<GrayS16> border) Computes the derivative in the X and Y direction using an integer Sobel edge detector.static voidGradientScharr.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32<GrayU8> border) Computes the derivative in the X and Y direction using an integer Sobel edge detector.static voidGradientSobel.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32<GrayS16> border) Computes the derivative in the X and Y direction using an integer Sobel edge detector.static voidGradientSobel.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32<GrayU8> border) Computes the derivative in the X and Y direction using an integer Sobel edge detector.static voidGradientThree.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayS16along the x and y axes.static voidGradientThree.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayU8along the x and y axes.static voidGradientThree.process(GrayU8 orig, GrayS32 derivX, GrayS32 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayU8along the x and y axes.static voidGradientTwo0.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayS16along the x and y axes.static voidGradientTwo0.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayU8along the x and y axes.static voidGradientTwo1.process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayS16along the x and y axes.static voidGradientTwo1.process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border) Computes the derivative of anGrayU8along the x and y axes.static voidHessianSobel.process(GrayU8 orig, GrayS16 derivXX, GrayS16 derivYY, GrayS16 derivXY, @Nullable ImageBorder_S32 border) Computes the image's second derivatives.static voidHessianThree.process(GrayU8 orig, GrayS16 derivXX, GrayS16 derivYY, GrayS16 derivXY, @Nullable ImageBorder_S32 border) Computes the second derivative of anGrayU8along the x and y axes.static voidHessianThreeDeterminant.process(GrayU8 orig, GrayF32 deriv, @Nullable ImageBorder_S32<GrayU8> border) Computes Laplacian on an U8 image but outputs derivative in a F32 image.static voidHessianThreeDeterminant.process(GrayU8 orig, GrayS16 deriv, @Nullable ImageBorder_S32<GrayU8> border) Computes the Laplacian of input image.static voidDerivativeHelperFunctions.processBorderHorizontal(GrayS16 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderHorizontal(GrayU8 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderHorizontal(GrayU8 orig, GrayS32 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderVertical(GrayS16 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderVertical(GrayU8 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderVertical(GrayU8 orig, GrayS32 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) -
Uses of ImageBorder_S32 in boofcv.alg.filter.derivative.impl
Methods in boofcv.alg.filter.derivative.impl with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidHessianThreeDeterminant_Border.process(GrayU8 input, GrayF32 output, ImageBorder_S32<GrayU8> border) static voidHessianThreeDeterminant_Border.process(GrayU8 input, GrayS16 output, ImageBorder_S32<GrayU8> border) Constructors in boofcv.alg.filter.derivative.impl with parameters of type ImageBorder_S32ModifierConstructorDescriptionSpecifies how border pixels are handled.GradientSparseSobel_U8(ImageBorder_S32<GrayU8> border) Specifies how border pixels are handled.GradientSparseThree_U8(ImageBorder_S32<GrayU8> border) Specifies how border pixels are handled.GradientSparseTwo0_U8(ImageBorder_S32<GrayU8> border) Specifies how border pixels are handled.GradientSparseTwo1_U8(ImageBorder_S32<GrayU8> border) Specifies how border pixels are handled. -
Uses of ImageBorder_S32 in boofcv.alg.misc
Methods in boofcv.alg.misc with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, GrayS32 input, ImageBorder_S32 border, GrayS32 output) Copies a rectangular region from one image into another.static <T extends GrayI16<T>>
voidImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI16 output) Copies a rectangular region from one image into another.static <T extends GrayI8<T>>
voidImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI8 output) Copies a rectangular region from one image into another.static voidImageMiscOps.growBorder(GrayS32 src, ImageBorder_S32 border, int borderX0, int borderY0, int borderX1, int borderY1, GrayS32 dst) Creates a new image which is a copy of the src image but extended with border pixels.static <T extends GrayI8<T>>
voidImageMiscOps.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) Creates a new image which is a copy of the src image but extended with border pixels.static <T extends GrayI16<T>>
voidImageMiscOps.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) Creates a new image which is a copy of the src image but extended with border pixels. -
Uses of ImageBorder_S32 in boofcv.alg.misc.impl
Methods in boofcv.alg.misc.impl with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidImplImageMiscOps_MT.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, GrayS32 input, ImageBorder_S32 border, GrayS32 output) static <T extends GrayI16<T>>
voidImplImageMiscOps_MT.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI16 output) static <T extends GrayI8<T>>
voidImplImageMiscOps_MT.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI8 output) static voidImplImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, GrayS32 input, ImageBorder_S32 border, GrayS32 output) static <T extends GrayI16<T>>
voidImplImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI16 output) static <T extends GrayI8<T>>
voidImplImageMiscOps.copy(int srcX, int srcY, int dstX, int dstY, int width, int height, T input, ImageBorder_S32<T> border, GrayI8 output) static voidImplImageMiscOps_MT.growBorder(GrayS32 src, ImageBorder_S32 border, int borderX0, int borderY0, int borderX1, int borderY1, GrayS32 dst) static <T extends GrayI8<T>>
voidImplImageMiscOps_MT.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) static <T extends GrayI16<T>>
voidImplImageMiscOps_MT.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) static voidImplImageMiscOps.growBorder(GrayS32 src, ImageBorder_S32 border, int borderX0, int borderY0, int borderX1, int borderY1, GrayS32 dst) static <T extends GrayI8<T>>
voidImplImageMiscOps.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) static <T extends GrayI16<T>>
voidImplImageMiscOps.growBorder(T src, ImageBorder_S32<T> border, int borderX0, int borderY0, int borderX1, int borderY1, T dst) -
Uses of ImageBorder_S32 in boofcv.alg.transform.census
Methods in boofcv.alg.transform.census with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidCensusTransform.dense3x3(GrayU16 input, GrayU8 output, @Nullable ImageBorder_S32<GrayU16> border) Census transform for local 3x3 region around each pixel.static voidCensusTransform.dense3x3(GrayU8 input, GrayU8 output, @Nullable ImageBorder_S32<GrayU8> border) Census transform for local 3x3 region around each pixel.static voidCensusTransform.dense5x5(GrayU16 input, GrayS32 output, @Nullable ImageBorder_S32<GrayU16> border) Census transform for local 5x5 region around each pixel.static voidCensusTransform.dense5x5(GrayU8 input, GrayS32 output, @Nullable ImageBorder_S32<GrayU8> border) Census transform for local 5x5 region around each pixel.static voidCensusTransform.sample_IU16(GrayU16 input, FastAccess<Point2D_I32> sample, InterleavedU16 output, @Nullable ImageBorder_S32<GrayU16> border, @Nullable DogArray_I32 workSpace) Census transform for an arbitrary region specified by the provided sample pointsstatic voidCensusTransform.sample_IU16(GrayU8 input, FastAccess<Point2D_I32> sample, InterleavedU16 output, @Nullable ImageBorder_S32<GrayU8> border, @Nullable DogArray_I32 workSpace) Census transform for an arbitrary region specified by the provided sample pointsstatic voidCensusTransform.sample_S64(GrayU16 input, FastAccess<Point2D_I32> sample, GrayS64 output, @Nullable ImageBorder_S32<GrayU16> border, @Nullable DogArray_I32 workSpace) Census transform for an arbitrary region specified by the provided sample pointsstatic voidCensusTransform.sample_S64(GrayU8 input, FastAccess<Point2D_I32> sample, GrayS64 output, @Nullable ImageBorder_S32<GrayU8> border, @Nullable DogArray_I32 workSpace) Census transform for an arbitrary region specified by the provided sample points -
Uses of ImageBorder_S32 in boofcv.alg.transform.census.impl
Methods in boofcv.alg.transform.census.impl with parameters of type ImageBorder_S32Modifier and TypeMethodDescriptionstatic voidImplCensusTransformBorder.dense3x3_U8(ImageBorder_S32 input, GrayU8 output) static voidImplCensusTransformBorder.dense5x5_U8(ImageBorder_S32 input, GrayS32 output) static intImplCensusTransformBorder.regionNxN(ImageBorder_S32 input, int cx, int cy, int radius) static shortImplCensusTransformBorder.sample(ImageBorder_S32 input, int cx, int cy, FastAccess<Point2D_I32> offsets, int idx0, int idx1) static voidImplCensusTransformBorder.sample_IU16(ImageBorder_S32 input, int radius, FastAccess<Point2D_I32> offsets, InterleavedU16 output) static longImplCensusTransformBorder.sample_S64(ImageBorder_S32 input, int cx, int cy, FastAccess<Point2D_I32> offsets) static voidImplCensusTransformBorder.sample_S64(ImageBorder_S32 input, int radius, FastAccess<Point2D_I32> offsets, GrayS64 output) -
Uses of ImageBorder_S32 in boofcv.core.image
Subclasses of ImageBorder_S32 in boofcv.core.imageModifier and TypeClassDescriptionstatic classstatic classImageBorderWrapped.S32<T extends GrayI<T>>Methods in boofcv.core.image that return ImageBorder_S32Constructors in boofcv.core.image with parameters of type ImageBorder_S32 -
Uses of ImageBorder_S32 in boofcv.core.image.border
Methods in boofcv.core.image.border that return ImageBorder_S32 -
Uses of ImageBorder_S32 in boofcv.struct.border
Subclasses of ImageBorder_S32 in boofcv.struct.borderModifier and TypeClassDescriptionclassImageBorder1D_S32<T extends GrayI<T>>Image border is handled independently along each axis by changing the indexes so that it references a pixel inside the image.