Uses of Class
boofcv.struct.convolve.Kernel2D_F32
Packages that use Kernel2D_F32
Package
Description
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Uses of Kernel2D_F32 in boofcv.alg.distort.motion
Methods in boofcv.alg.distort.motion that return Kernel2D_F32Modifier and TypeMethodDescriptionstatic Kernel2D_F32MotionBlurOps.linearMotionPsf(double lengthOfMotion, double phi) Creates a PSF for linear motion blur with constant velocity. -
Uses of Kernel2D_F32 in boofcv.alg.enhance
Fields in boofcv.alg.enhance declared as Kernel2D_F32Modifier and TypeFieldDescriptionstatic Kernel2D_F32EnhanceImageOps.kernelEnhance4_F32static Kernel2D_F32EnhanceImageOps.kernelEnhance8_F32 -
Uses of Kernel2D_F32 in boofcv.alg.feature.orientation
Fields in boofcv.alg.feature.orientation declared as Kernel2D_F32Modifier and TypeFieldDescriptionprotected Kernel2D_F32OrientationImageAverage.kerCosineprotected Kernel2D_F32OrientationImageAverage.kerSineprotected Kernel2D_F32OrientationAverage.weightsprotected Kernel2D_F32OrientationHistogram.weightsprotected Kernel2D_F32OrientationSlidingWindow.weightsMethods in boofcv.alg.feature.orientation that return Kernel2D_F32Modifier and TypeMethodDescriptionOrientationAverage.getWeights()OrientationHistogram.getWeights()OrientationSlidingWindow.getWeights() -
Uses of Kernel2D_F32 in boofcv.alg.filter.convolve
Methods in boofcv.alg.filter.convolve with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic voidConvolveImage.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, ImageBorder_F32 border) Performs a 2D convolution across the image.static voidConvolveImage.convolve(Kernel2D_F32 kernel, InterleavedF32 input, InterleavedF32 output, ImageBorder_IL_F32 border) Performs a 2D convolution across the image.static voidConvolveImageDownNoBorder.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveImageDownNormalized.convolve(Kernel2D_F32 kernel, GrayF32 image, GrayF32 dest, int skip) Performs a 2D down convolution across the image while re-normalizing the kernel depending on its overlap with the image.static voidConvolveImageNoBorder.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output) static voidConvolveImageNoBorder.convolve(Kernel2D_F32 kernel, InterleavedF32 input, InterleavedF32 output) static voidConvolveImageNormalized.convolve(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dst) Performs a 2D normalized convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dst, ImageBorder_F32 bsrc) Performs a 2D normalized convolution across the image.static voidConvolveImageNormalized.convolve(Kernel2D_F32 kernel, InterleavedF32 src, InterleavedF32 dst) Performs a 2D normalized convolution across the image.static floatConvolveImageSparse.convolve(Kernel2D_F32 kernel, ImageBorder_F32 input, int x, int y) -
Uses of Kernel2D_F32 in boofcv.alg.filter.convolve.border
Methods in boofcv.alg.filter.convolve.border with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic voidConvolveJustBorder_General_IL.convolve(Kernel2D_F32 kernel, ImageBorder_IL_F32 src, InterleavedF32 dst) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_F32 kernel, ImageBorder_F32 input, GrayF32 output) static voidConvolveJustBorder_General_SB.convolve(Kernel2D_F32 kernel, ImageBorder_F32 input, GrayF32 output, int divisor) -
Uses of Kernel2D_F32 in boofcv.alg.filter.convolve.down
Methods in boofcv.alg.filter.convolve.down with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic voidConvolveDownNoBorderStandard.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static booleanConvolveDownNoBorderUnrolled_F32_F32.convolve(Kernel2D_F32 kernel, GrayF32 image, GrayF32 dest, int skip) static voidConvolveDownNormalized_JustBorder.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNormalizedNaive.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNoBorderUnrolled_F32_F32.convolve11(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNoBorderUnrolled_F32_F32.convolve3(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNoBorderUnrolled_F32_F32.convolve5(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNoBorderUnrolled_F32_F32.convolve7(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) static voidConvolveDownNoBorderUnrolled_F32_F32.convolve9(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, int skip) -
Uses of Kernel2D_F32 in boofcv.alg.filter.convolve.noborder
Methods in boofcv.alg.filter.convolve.noborder with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic voidConvolveImageStandard_IL_MT.convolve(Kernel2D_F32 kernel, InterleavedF32 src, InterleavedF32 dst) static voidConvolveImageStandard_IL.convolve(Kernel2D_F32 kernel, InterleavedF32 src, InterleavedF32 dst) static voidConvolveImageStandard_SB_MT.convolve(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageStandard_SB.convolve(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static booleanConvolveImageUnrolled_SB_F32_F32.convolve(Kernel2D_F32 kernel, GrayF32 image, GrayF32 dest) static booleanConvolveImageUnrolled_SB_MT_F32_F32.convolve(Kernel2D_F32 kernel, GrayF32 image, GrayF32 dest) static voidConvolveImageUnrolled_SB_F32_F32.convolve11(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_MT_F32_F32.convolve11(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_F32_F32.convolve3(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_MT_F32_F32.convolve3(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_F32_F32.convolve5(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_MT_F32_F32.convolve5(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_F32_F32.convolve7(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_MT_F32_F32.convolve7(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_F32_F32.convolve9(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) static voidConvolveImageUnrolled_SB_MT_F32_F32.convolve9(Kernel2D_F32 kernel, GrayF32 src, GrayF32 dest) -
Uses of Kernel2D_F32 in boofcv.alg.filter.convolve.normalized
Methods in boofcv.alg.filter.convolve.normalized with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic voidConvolveNormalized_JustBorder_IL.convolve(Kernel2D_F32 kernel, InterleavedF32 src, InterleavedF32 dst) static voidConvolveNormalized_JustBorder_SB.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output) static voidConvolveNormalizedNaive_IL.convolve(Kernel2D_F32 kernel, InterleavedF32 input, InterleavedF32 output) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_F32 kernel, GrayF32 input, GrayF32 output, ImageBorder_F32 binput) -
Uses of Kernel2D_F32 in boofcv.alg.filter.derivative
Fields in boofcv.alg.filter.derivative declared as Kernel2D_F32Modifier and TypeFieldDescriptionstatic Kernel2D_F32DerivativeLaplacian.kernel_F32static Kernel2D_F32HessianThree.kernelCross_F32static Kernel2D_F32GradientPrewitt.kernelDerivX_F32static Kernel2D_F32GradientScharr.kernelDerivX_F32static Kernel2D_F32GradientSobel.kernelDerivX_F32static Kernel2D_F32GradientPrewitt.kernelDerivY_F32static Kernel2D_F32GradientScharr.kernelDerivY_F32static Kernel2D_F32GradientSobel.kernelDerivY_F32static Kernel2D_F32HessianSobel.kernelXX_F32static Kernel2D_F32HessianSobel.kernelXY_F32static Kernel2D_F32HessianSobel.kernelYY_F32 -
Uses of Kernel2D_F32 in boofcv.alg.filter.kernel
Methods in boofcv.alg.filter.kernel that return Kernel2D_F32Modifier and TypeMethodDescriptionstatic Kernel2D_F32KernelMath.convertToKernel(GrayF32 image) static Kernel2D_F32KernelMath.convolve2D(Kernel1D_F32 a, Kernel1D_F32 b) Convolve two 1D kernels together to form a 2D kernel.static Kernel2D_F32KernelMath.convolve2D(Kernel2D_F32 a, Kernel2D_F32 b) static Kernel2D_F32KernelMath.transpose(Kernel2D_F32 a) Methods in boofcv.alg.filter.kernel with parameters of type Kernel2D_F32Modifier and TypeMethodDescriptionstatic Kernel2D_S32KernelMath.convert(Kernel2D_F32 original, float minFrac) static GrayF32KernelMath.convertToImage(Kernel2D_F32 kernel) static Kernel2D_F32KernelMath.convolve2D(Kernel2D_F32 a, Kernel2D_F32 b) static voidKernelMath.divide(Kernel2D_F32 kernel, float value) static voidKernelMath.fill(Kernel2D_F32 kernel, float value) static voidKernelMath.normalizeAbsSumToOne(Kernel2D_F32 kernel) Normalizes the array such that the absolute value sums up to one.static voidKernelMath.normalizeSumToOne(Kernel2D_F32 kernel) Normalizes the array such that it sums up to one.static floatKernelMath.sum(Kernel2D_F32 kernel) static Kernel2D_F32KernelMath.transpose(Kernel2D_F32 a) -
Uses of Kernel2D_F32 in boofcv.alg.filter.kernel.impl
Methods in boofcv.alg.filter.kernel.impl that return Kernel2D_F32 -
Uses of Kernel2D_F32 in boofcv.alg.weights
Fields in boofcv.alg.weights declared as Kernel2D_F32 -
Uses of Kernel2D_F32 in boofcv.factory.filter.convolve
Constructors in boofcv.factory.filter.convolve with parameters of type Kernel2D_F32 -
Uses of Kernel2D_F32 in boofcv.factory.filter.kernel
Methods in boofcv.factory.filter.kernel that return Kernel2D_F32Modifier and TypeMethodDescriptionstatic Kernel2D_F32FactoryKernelGaussian.gaussian2D_F32(double sigma, int radius, boolean odd, boolean normalize) Creates a kernel for a 2D convolution.static Kernel2D_F32FactoryKernelGaussian.gaussian2D_F32(double sigmaX, int radiusX, boolean oddX, double sigmaY, int radiusY, boolean oddY, boolean normalize) static Kernel2D_F32FactoryKernel.random2D_F32(int width, int offset, float min, float max, Random rand) Creates a random 2D kernel drawn from a uniform distribution. -
Uses of Kernel2D_F32 in boofcv.struct.convolve
Methods in boofcv.struct.convolve that return Kernel2D_F32Modifier and TypeMethodDescriptionKernel2D_F32.copy()static Kernel2D_F32Kernel2D_F32.wrap(float[] data, int width, int offset) Creates a kernel whose elements are the specified data array and has the specified width.