Uses of Class
boofcv.struct.image.GrayS16
Packages that use GrayS16
Package
Description
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Uses of GrayS16 in boofcv.alg.disparity.block
Methods in boofcv.alg.disparity.block that return types with arguments of type GrayS16 -
Uses of GrayS16 in boofcv.alg.enhance
Methods in boofcv.alg.enhance with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidEnhanceImageOps.applyTransform(GrayS16 input, int[] transform, int minValue, GrayS16 output) Applies the transformation table to the provided input image. -
Uses of GrayS16 in boofcv.alg.enhance.impl
Methods in boofcv.alg.enhance.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidImplEnhanceHistogram_MT.applyTransform(GrayS16 input, int[] transform, int minValue, GrayS16 output) static voidImplEnhanceHistogram.applyTransform(GrayS16 input, int[] transform, int minValue, GrayS16 output) -
Uses of GrayS16 in boofcv.alg.feature.detect.edge
Methods in boofcv.alg.feature.detect.edge with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidComputes the edge orientation using theMath.atan(double)function.static voidGradientToEdgeFeatures.direction2(GrayS16 derivX, GrayS16 derivY, GrayF32 angle) Computes the edge orientation using theMath.atan2(double, double)function.static voidGradientToEdgeFeatures.intensityAbs(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) Computes the edge intensity using a Euclidean norm.static voidGradientToEdgeFeatures.intensityE(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) Computes the edge intensity using a Euclidean norm.static GrayF32GradientToEdgeFeatures.nonMaxSuppressionCrude4(GrayF32 intensity, GrayS16 derivX, GrayS16 derivY, GrayF32 output) Sets edge intensities to zero if the pixel has an intensity which is less than any of the two adjacent pixels. -
Uses of GrayS16 in boofcv.alg.feature.detect.edge.impl
Methods in boofcv.alg.feature.detect.edge.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic voidImplGradientToEdgeFeatures_MT.direction2(GrayS16 derivX, GrayS16 derivY, GrayF32 angle) static voidImplGradientToEdgeFeatures.direction2(GrayS16 derivX, GrayS16 derivY, GrayF32 angle) static voidImplEdgeNonMaxSuppressionCrude_MT.inner4(GrayF32 intensity, GrayS16 derivX, GrayS16 derivY, GrayF32 output) Only processes the inner image.static voidImplEdgeNonMaxSuppressionCrude.inner4(GrayF32 intensity, GrayS16 derivX, GrayS16 derivY, GrayF32 output) Only processes the inner image.static voidImplGradientToEdgeFeatures_MT.intensityAbs(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) static voidImplGradientToEdgeFeatures.intensityAbs(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) static voidImplGradientToEdgeFeatures_MT.intensityE(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) static voidImplGradientToEdgeFeatures.intensityE(GrayS16 derivX, GrayS16 derivY, GrayF32 intensity) -
Uses of GrayS16 in boofcv.alg.feature.detect.intensity
Methods in boofcv.alg.feature.detect.intensity with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidHessianBlobIntensity.determinant(GrayF32 featureIntensity, GrayS16 hessianXX, GrayS16 hessianYY, GrayS16 hessianXY) Feature intensity using the Hessian matrix's determinant.static voidKitRosCornerIntensity.process(GrayF32 featureIntensity, GrayS16 derivX, GrayS16 derivY, GrayS16 hessianXX, GrayS16 hessianYY, GrayS16 hessianXY) static voidFeature intensity using the trace of the Hessian matrix. -
Uses of GrayS16 in boofcv.alg.feature.detect.intensity.impl
Methods in boofcv.alg.feature.detect.intensity.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidImplHessianBlobIntensity.determinant(GrayF32 featureIntensity, GrayS16 hessianXX, GrayS16 hessianYY, GrayS16 hessianXY) static voidImplKitRosCornerIntensity.process(GrayF32 featureIntensity, GrayS16 derivX, GrayS16 derivY, GrayS16 hessianXX, GrayS16 hessianYY, GrayS16 hessianXY) voidvoidstatic void -
Uses of GrayS16 in boofcv.alg.feature.detect.line.gridline
Methods in boofcv.alg.feature.detect.line.gridline with parameters of type GrayS16Modifier and TypeMethodDescriptionprotected voidImplGridRansacLineDetector_S16.detectEdgels(int index0, int x0, int y0, GrayS16 derivX, GrayS16 derivY, GrayU8 binaryEdges) -
Uses of GrayS16 in boofcv.alg.feature.orientation.impl
Methods in boofcv.alg.feature.orientation.impl that return types with arguments of type GrayS16Modifier and TypeMethodDescriptionImplOrientationAverage_S16.getImageType()ImplOrientationHistogram_S16.getImageType()ImplOrientationSlidingWindow_S16.getImageType() -
Uses of GrayS16 in boofcv.alg.filter.basic
Methods in boofcv.alg.filter.basic that return GrayS16Modifier and TypeMethodDescriptionstatic GrayS16Brightens the image's intensity:
Ox,y = Ix,y + betastatic GrayS16Inverts the image's intensity:
Ox,y = max - Ix,ystatic GrayS16Stretches the image's intensity:
Ox,y = Ix,yγ + betaMethods in boofcv.alg.filter.basic with parameters of type GrayS16 -
Uses of GrayS16 in boofcv.alg.filter.basic.impl
Methods in boofcv.alg.filter.basic.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic void -
Uses of GrayS16 in boofcv.alg.filter.binary
Methods in boofcv.alg.filter.binary with parameters of type GrayS16 -
Uses of GrayS16 in boofcv.alg.filter.binary.impl
Methods in boofcv.alg.filter.binary.impl with parameters of type GrayS16 -
Uses of GrayS16 in boofcv.alg.filter.convolve
Methods in boofcv.alg.filter.convolve with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a 2D convolution across the image.static voidConvolveImageDownNoBorder.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveImageDownNoBorder.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveImageDownNormalized.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 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_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveImageNoBorder.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int divisor, @Nullable GrowArray<DogArray_I32> work) static floatConvolveImageNoBorderSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage) Convolves a 1D kernels around the specified pixel in the horizontal and vertical direction.static floatConvolveImageNoBorderSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage, int divisorHorizontal, int divisorVertical) Convolves a 1D kernels around the specified pixel in the horizontal and vertical direction.static voidConvolveImageNormalized.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dst) Performs a 2D normalized 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 intConvolveImageNormalizedSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage) Convolves around the specified point in the horizontal and vertical direction.static voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a horizontal 1D convolution across the image.static voidConvolveImageBox.horizontal(GrayS16 input, GrayI16 output, int radius) Performs a horizontal 1D convolution of a box kernel across the imagestatic voidConvolveImageDownNoBorder.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveImageDownNoBorder.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveImageDownNormalized.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip) Performs a horizontal 1D down convolution across the image while re-normalizing the kernel depending on its overlap with the image.static voidConvolveImageMean.horizontal(GrayS16 input, GrayI16 output, int offset, int length) Performs a horizontal 1D mean box filter.static voidConvolveImageMean.horizontal(GrayS16 input, GrayI16 output, int offset, int length, @Nullable ImageBorder_S32<GrayS16> binput) Performs a horizontal 1D mean box filter.static voidConvolveImageNoBorder.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveImageNoBorder.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int divisor) static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> border) Performs a vertical 1D convolution across the image.static voidConvolveImageBox.vertical(GrayS16 input, GrayI16 output, int radius, @Nullable GrowArray<DogArray_I32> work) Performs a vertical 1D convolution of a box kernel across the imagestatic voidConvolveImageDownNoBorder.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveImageDownNoBorder.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveImageDownNormalized.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip) Performs a vertical 1D down convolution across the image while re-normalizing the kernel depending on its overlap with 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(GrayS16 input, GrayI16 output, int offset, int length, @Nullable GrowArray<DogArray_I32> workspaces) Performs a vertical 1D mean box filter.static voidConvolveImageNoBorder.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveImageNoBorder.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int divisor, @Nullable GrowArray<DogArray_I32> work) static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) Performs a vertical 1D normalized convolution across the image.static voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a vertical 1D normalized convolution across the image.Method parameters in boofcv.alg.filter.convolve with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveImage.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> 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 voidConvolveImage.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> 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 voidConvolveImageNormalized.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a horizontal 1D normalized convolution across the image.static voidConvolveImage.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> 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 voidConvolveImageNormalized.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, ImageBorder_S32<GrayS16> bsrc) Performs a vertical 1D normalized convolution across the image. -
Uses of GrayS16 in boofcv.alg.filter.convolve.down
Methods in boofcv.alg.filter.convolve.down with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveDownNoBorderStandard.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderStandard.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16_Div.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest, int skip) static voidConvolveDownNormalized_JustBorder.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNormalizedNaive.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.convolve11(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.convolve11(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.convolve3(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.convolve3(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.convolve5(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.convolve5(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.convolve7(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.convolve7(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.convolve9(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.convolve9(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderStandard.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderStandard.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip) static voidConvolveDownNormalized_JustBorder.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNormalizedNaive.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal11(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.horizontal11(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal3(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.horizontal3(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal5(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.horizontal5(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal7(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.horizontal7(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.horizontal9(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.horizontal9(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderStandard.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderStandard.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16_Div.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip, int divisor) static booleanConvolveDownNoBorderUnrolled_S16_I16.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int skip) static voidConvolveDownNormalized_JustBorder.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNormalizedNaive.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.vertical11(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.vertical11(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.vertical3(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.vertical3(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.vertical5(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.vertical5(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.vertical7(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.vertical7(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) static voidConvolveDownNoBorderUnrolled_S16_I16_Div.vertical9(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip, int divisor) static voidConvolveDownNoBorderUnrolled_S16_I16.vertical9(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, int skip) -
Uses of GrayS16 in boofcv.alg.filter.convolve.noborder
Methods in boofcv.alg.filter.convolve.noborder with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveImageStandard_SB_MT.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageStandard_SB_MT.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageStandard_SB.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageStandard_SB.convolve(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static intConvolveImageStandardSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage) static intConvolveImageStandardSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage, int divisorHorizontal, int divisorVertical) static booleanConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor, GrowArray<DogArray_I32> work) static booleanConvolveImageUnrolled_SB_MT_S16_I16.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest) static booleanConvolveImageUnrolled_SB_S16_I16_Div.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor, GrowArray<DogArray_I32> work) static booleanConvolveImageUnrolled_SB_S16_I16.convolve(Kernel2D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve11(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.convolve11(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.convolve11(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.convolve11(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve3(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.convolve3(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.convolve3(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.convolve3(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve5(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.convolve5(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.convolve5(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.convolve5(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve7(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.convolve7(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.convolve7(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.convolve7(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.convolve9(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.convolve9(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.convolve9(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.convolve9(Kernel2D_S32 kernel, GrayS16 src, GrayI16 dest) static voidConvolveImageStandard_SB_MT.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageStandard_SB_MT.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor) static voidConvolveImageStandard_SB.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageStandard_SB.horizontal(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor) static booleanConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static booleanConvolveImageUnrolled_SB_MT_S16_I16.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static booleanConvolveImageUnrolled_SB_S16_I16_Div.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static booleanConvolveImageUnrolled_SB_S16_I16.horizontal(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidImplConvolveBox_MT.horizontal(GrayS16 input, GrayI16 output, int radius) static voidImplConvolveBox.horizontal(GrayS16 input, GrayI16 output, int radius) static voidImplConvolveMean_MT.horizontal(GrayS16 input, GrayI16 output, int offset, int length) static voidImplConvolveMean.horizontal(GrayS16 input, GrayI16 output, int offset, int length) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal11(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_MT_S16_I16.horizontal11(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.horizontal11(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_S16_I16.horizontal11(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal3(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_MT_S16_I16.horizontal3(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.horizontal3(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_S16_I16.horizontal3(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal5(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_MT_S16_I16.horizontal5(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.horizontal5(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_S16_I16.horizontal5(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal7(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_MT_S16_I16.horizontal7(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.horizontal7(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_S16_I16.horizontal7(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.horizontal9(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_MT_S16_I16.horizontal9(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageUnrolled_SB_S16_I16_Div.horizontal9(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor) static voidConvolveImageUnrolled_SB_S16_I16.horizontal9(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidConvolveImageStandard_SB_MT.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageStandard_SB_MT.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageStandard_SB.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageStandard_SB.vertical(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static booleanConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor, GrowArray<DogArray_I32> work) static booleanConvolveImageUnrolled_SB_MT_S16_I16.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static booleanConvolveImageUnrolled_SB_S16_I16_Div.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest, int divisor, GrowArray<DogArray_I32> work) static booleanConvolveImageUnrolled_SB_S16_I16.vertical(Kernel1D_S32 kernel, GrayS16 image, GrayI16 dest) static voidImplConvolveBox_MT.vertical(GrayS16 input, GrayI16 output, int radius, @Nullable GrowArray<DogArray_I32> workspaces) static voidImplConvolveBox.vertical(GrayS16 input, GrayI16 output, int radius, @Nullable GrowArray<DogArray_I32> workspaces) static voidImplConvolveMean_MT.vertical(GrayS16 input, GrayI16 output, int offset, int length, @Nullable GrowArray<DogArray_I32> workspaces) static voidImplConvolveMean.vertical(GrayS16 input, GrayI16 output, int offset, int length, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical11(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.vertical11(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_S16_I16_Div.vertical11(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.vertical11(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical3(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.vertical3(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_S16_I16_Div.vertical3(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.vertical3(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical5(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.vertical5(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_S16_I16_Div.vertical5(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.vertical5(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical7(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.vertical7(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_S16_I16_Div.vertical7(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.vertical7(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_MT_S16_I16_Div.vertical9(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_MT_S16_I16.vertical9(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) static voidConvolveImageUnrolled_SB_S16_I16_Div.vertical9(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst, int divisor, @Nullable GrowArray<DogArray_I32> workspaces) static voidConvolveImageUnrolled_SB_S16_I16.vertical9(Kernel1D_S32 kernel, GrayS16 src, GrayI16 dst) -
Uses of GrayS16 in boofcv.alg.filter.convolve.normalized
Methods in boofcv.alg.filter.convolve.normalized with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveNormalized_JustBorder_SB.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static intConvolveNormalizedStandardSparse.convolve(Kernel1D_S32 horizontal, Kernel1D_S32 vertical, GrayS16 input, int c_x, int c_y, int[] storage) static voidConvolveNormalized_JustBorder_SB.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalized_JustBorder_SB.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) Method parameters in boofcv.alg.filter.convolve.normalized with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvolveNormalizedNaive_SB.convolve(Kernel2D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalizedNaive_SB.horizontal(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) static voidConvolveNormalizedNaive_SB.vertical(Kernel1D_S32 kernel, GrayS16 input, GrayI16 output, ImageBorder_S32<GrayS16> binput) -
Uses of GrayS16 in boofcv.alg.filter.derivative
Methods in boofcv.alg.filter.derivative with parameters of type GrayS16Modifier 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 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, 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.processBorderVertical(GrayS16 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) static voidDerivativeHelperFunctions.processBorderVertical(GrayU8 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) Method parameters in boofcv.alg.filter.derivative with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic 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 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. -
Uses of GrayS16 in boofcv.alg.filter.derivative.impl
Methods in boofcv.alg.filter.derivative.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidComputes the Laplacian of input image.static voidComputes the Laplacian of input image.static voidstatic voidComputes derivative of GrayU8.static voidstatic voidComputes derivative of GrayU8.static voidstatic voidstatic voidstatic voidstatic voidComputes derivative of GrayU8.static voidComputes derivative of GrayU8.static voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidstatic voidComputes the derivative along the x and y axesstatic voidHessianThreeDeterminant_Border.process(GrayU8 input, GrayS16 output, ImageBorder_S32<GrayU8> border) static voidstatic voidstatic voidGradientSobel_UnrolledOuter_MT.process_I8(GrayU8 orig, GrayS16 derivX, GrayS16 derivY) Can only process images which are NOT sub-images.static voidGradientSobel_UnrolledOuter.process_I8(GrayU8 orig, GrayS16 derivX, GrayS16 derivY) Can only process images which are NOT sub-images.static voidGradientSobel_Outer_MT.process_sub(GrayS16 orig, GrayS16 derivX, GrayS16 derivY) static voidGradientSobel_Outer_MT.process_sub(GrayU8 orig, GrayS16 derivX, GrayS16 derivY) Computes derivative of GrayU8.static voidGradientSobel_Outer.process_sub(GrayS16 orig, GrayS16 derivX, GrayS16 derivY) static voidGradientSobel_Outer.process_sub(GrayU8 orig, GrayS16 derivX, GrayS16 derivY) Computes derivative of GrayU8. -
Uses of GrayS16 in boofcv.alg.filter.misc
Methods in boofcv.alg.filter.misc with parameters of type GrayS16 -
Uses of GrayS16 in boofcv.alg.filter.misc.impl
Methods in boofcv.alg.filter.misc.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic voidstatic void -
Uses of GrayS16 in boofcv.alg.flow
Methods in boofcv.alg.flow with parameters of type GrayS16Modifier and TypeMethodDescriptionprotected static voidHornSchunck_U8.borderDerivT(GrayU8 imageA, GrayU8 imageB, GrayS16 difference, int x, int y) protected voidHornSchunck_U8.computeDerivT(GrayU8 image1, GrayU8 image2, GrayS16 difference) protected voidHornSchunck_U8.computeDerivX(GrayU8 image1, GrayU8 image2, GrayS16 derivX) protected voidHornSchunck_U8.computeDerivY(GrayU8 image1, GrayU8 image2, GrayS16 derivY) protected void -
Uses of GrayS16 in boofcv.alg.interpolate.impl
Methods in boofcv.alg.interpolate.impl that return GrayS16Modifier and TypeMethodDescriptionBilinearRectangle_S16.getImage()ImplInterpolatePixelConvolution_S16.getImage()Methods in boofcv.alg.interpolate.impl that return types with arguments of type GrayS16Modifier and TypeMethodDescriptionBilinearRectangle_S16.copy()ImplBilinearPixel_S16.copy()ImplInterpolatePixelConvolution_S16.copy()NearestNeighborPixel_S16.copy()BilinearRectangle_S16.copyConcurrent()ImplInterpolatePixelConvolution_S16.getBorder()BilinearRectangle_S16.getImageType()ImplBilinearPixel_S16.getImageType()ImplInterpolatePixelConvolution_S16.getImageType()NearestNeighborPixel_S16.getImageType()Methods in boofcv.alg.interpolate.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionvoidvoidvoidMethod parameters in boofcv.alg.interpolate.impl with type arguments of type GrayS16Modifier and TypeMethodDescriptionvoidImplInterpolatePixelConvolution_S16.setBorder(ImageBorder<GrayS16> border) Constructors in boofcv.alg.interpolate.impl with parameters of type GrayS16ModifierConstructorDescriptionBilinearRectangle_S16(GrayS16 image) ImplBilinearPixel_S16(GrayS16 orig) -
Uses of GrayS16 in boofcv.alg.misc
Methods in boofcv.alg.misc with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidSets each pixel in the output image to be the absolute value of the input image.static voidPerforms pixel-wise addition
output(x,y) = imgA(x,y) + imgB(x,y)static voidPerforms pixel-wise addition
output(x,y) = imgA(x,y) + imgB(x,y)static voidImageMiscOps.addGaussian(GrayS16 image, Random rand, double sigma, int lowerBound, int upperBound) Adds Gaussian/normal i.i.d noise to each pixel in the image.static voidImageMiscOps.addUniform(GrayS16 input, Random rand, int min, int max) Adds uniform i.i.d noise to each pixel in the image.static voidComputes the average for each pixel across all bands in thePlanarimage.static voidComputes the average for each pixel across selected bands in thePlanarimage.static voidPixelMath.boundImage(GrayS16 img, int min, int max) Bounds image pixels to be between these two valuesstatic voidComputes the absolute value of the difference between each pixel in the two images.
d(x,y) = |img1(x,y) - img2(x,y)|static voidDivide each element by a scalar value.static voidDivide each element by a scalar value.static voidDivide each element by a scalar value.static voidImageMiscOps.filter(GrayS16 image, BoofLambdas.FilterPixel_S32 op) Functional API for modifying an images pixel values based on coordinate and valuestatic voidComputes the histogram of intensity values for the image.static voidImageStatistics.histogramScaled(GrayS16 input, int minValue, int maxValue, int[] histogram) Computes the histogram of intensity values for the image while scaling the range to match the histogram.static intReturns the maximum element value.static intReturns the maximum element value.static voidComputes the maximum for each pixel across all bands in thePlanarimage.static voidComputes the maximum for each pixel across selected bands in thePlanarimage.static doubleReturns the mean pixel intensity value.static doubleImageStatistics.meanDiffAbs(GrayS16 imgA, GrayS16 imgB) Computes the mean of absolute value error between the two images.static doubleImageStatistics.meanDiffSq(GrayS16 imgA, GrayS16 imgB) Computes the mean squared error (MSE) between the two images.static voidComputes the median for each pixel across all bands in thePlanarimage.static voidComputes the median for each pixel across selected bands in thePlanarimage.static intReturns the minimum element value.static voidComputes the minimum for each pixel across all bands in thePlanarimage.static voidComputes the minimum for each pixel across selected bands in thePlanarimage.static voidSubtracts each element's value from a scalar.static voidSubtracts each element's value from a scalar.static voidSubtracts each element's value from a scalar.static voidSubtracts a scalar value from each element.static voidSubtracts a scalar value from each element.static voidSubtracts a scalar value from each element.static voidMultiply each element by a scalar value.static voidMultiply each element by a scalar value.static voidMultiply each element by a scalar value.static voidChanges the sign of every pixel in the image: output[x,y] = -input[x,y]static voidAdds a scalar value to each element.static voidAdds a scalar value to each element.static voidAdds a scalar value to each element.static voidComputes the standard deviation for each pixel across all bands in thePlanarimage.static voidImageBandMath.stdDev(Planar<GrayS16> input, GrayS16 output, @Nullable GrayS16 avg, int startBand, int lastBand) Computes the standard deviation for each pixel across all bands in thePlanarimage.static voidPerforms pixel-wise subtraction.
output(x,y) = imgA(x,y) - imgB(x,y)static voidPerforms pixel-wise subtraction.
output(x,y) = imgA(x,y) - imgB(x,y)static intReturns the sum of all the pixels in the image.static intReturns the sum of all the pixels in the image.static doubleComputes the variance of pixel intensity values inside the image.Method parameters in boofcv.alg.misc with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic voidComputes the average for each pixel across all bands in thePlanarimage.static voidComputes the average for each pixel across selected bands in thePlanarimage.static voidComputes the maximum for each pixel across all bands in thePlanarimage.static voidComputes the maximum for each pixel across selected bands in thePlanarimage.static voidComputes the median for each pixel across all bands in thePlanarimage.static voidComputes the median for each pixel across selected bands in thePlanarimage.static voidComputes the minimum for each pixel across all bands in thePlanarimage.static voidComputes the minimum for each pixel across selected bands in thePlanarimage.static voidComputes the standard deviation for each pixel across all bands in thePlanarimage.static voidImageBandMath.stdDev(Planar<GrayS16> input, GrayS16 output, @Nullable GrayS16 avg, int startBand, int lastBand) Computes the standard deviation for each pixel across all bands in thePlanarimage. -
Uses of GrayS16 in boofcv.alg.misc.impl
Methods in boofcv.alg.misc.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic voidstatic voidstatic voidImplImageMiscOps_MT.addGaussian(GrayS16 image, Random rand, double sigma, int lowerBound, int upperBound) static voidImplImageMiscOps.addGaussian(GrayS16 image, Random rand, double sigma, int lowerBound, int upperBound) static voidImplImageMiscOps_MT.addUniform(GrayS16 image, Random rand, int min, int max) static voidImplImageMiscOps.addUniform(GrayS16 image, Random rand, int min, int max) static voidstatic voidstatic voidImplPixelMath_MT.boundImage(GrayS16 img, int min, int max) static voidImplPixelMath.boundImage(GrayS16 img, int min, int max) static voidstatic voidstatic voidImplImageMiscOps_MT.filter(GrayS16 image, BoofLambdas.FilterPixel_S32 op) static voidImplImageMiscOps.filter(GrayS16 image, BoofLambdas.FilterPixel_S32 op) static voidstatic voidstatic voidImplImageStatistics_MT.histogramScaled(GrayS16 input, int minValue, int maxValue, int[] histogram) static voidImplImageStatistics.histogramScaled(GrayS16 input, int minValue, int maxValue, int[] histogram) static voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidImplImageBandMath_MT.stdDev(Planar<GrayS16> input, GrayS16 output, GrayS16 avg, int startBand, int lastBand) static voidImplImageBandMath.stdDev(Planar<GrayS16> input, GrayS16 output, GrayS16 avg, int startBand, int lastBand) static voidstatic voidstatic voidstatic voidstatic intstatic intstatic intstatic intstatic doublestatic doubleMethod parameters in boofcv.alg.misc.impl with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidImplImageBandMath_MT.stdDev(Planar<GrayS16> input, GrayS16 output, GrayS16 avg, int startBand, int lastBand) static voidImplImageBandMath.stdDev(Planar<GrayS16> input, GrayS16 output, GrayS16 avg, int startBand, int lastBand) -
Uses of GrayS16 in boofcv.core.image
Methods in boofcv.core.image that return GrayS16Modifier and TypeMethodDescriptionstatic GrayS16ConvertImage.average(InterleavedS16 input, GrayS16 output) Converts aInterleavedS16into aGrayS16by computing the average value of each pixel across all the bands.static GrayS16static GrayS16static GrayS16static GrayS16static GrayS16static GrayS16static GrayS16static GrayS16Methods in boofcv.core.image that return types with arguments of type GrayS16Modifier and TypeMethodDescriptionConvertImage.convert(InterleavedS16 input, Planar<GrayS16> output) Converts aInterleavedS16into the equivalentPlanarMethods in boofcv.core.image with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic GrayS16ConvertImage.average(InterleavedS16 input, GrayS16 output) Converts aInterleavedS16into aGrayS16by computing the average value of each pixel across all the bands.static GrayS16static GrayS16static GrayS16static GrayU8Converts pixel values in the input image into an integer values from 0 to numValues.static GrayF32static GrayF64static GrayS32static GrayS64static GrayS8static GrayU16static GrayU8static GrayS16static GrayS16static GrayS16static GrayS16static GrayS16Method parameters in boofcv.core.image with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic GrayS16ConvertImage.convert(InterleavedS16 input, Planar<GrayS16> output) Converts aInterleavedS16into the equivalentPlanarstatic InterleavedS16ConvertImage.convert(Planar<GrayS16> input, InterleavedS16 output) Converts aPlanarinto the equivalentInterleavedS16Constructors in boofcv.core.image with parameters of type GrayS16 -
Uses of GrayS16 in boofcv.core.image.impl
Methods in boofcv.core.image.impl with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic voidConvertInterleavedToSingle_MT.average(InterleavedS16 from, GrayS16 to) static voidConvertInterleavedToSingle.average(InterleavedS16 from, GrayS16 to) static voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidMethod parameters in boofcv.core.image.impl with type arguments of type GrayS16Modifier and TypeMethodDescriptionstatic voidstatic voidstatic voidImplConvertImage_MT.convert(InterleavedS16 input, Planar<GrayS16> output) static voidImplConvertImage_MT.convert(Planar<GrayS16> input, InterleavedS16 output) static voidImplConvertImage.convert(InterleavedS16 input, Planar<GrayS16> output) static voidImplConvertImage.convert(Planar<GrayS16> input, InterleavedS16 output) -
Uses of GrayS16 in boofcv.gui.image
Methods in boofcv.gui.image with parameters of type GrayS16Modifier and TypeMethodDescriptionstatic BufferedImageVisualizeImageData.colorizeGradient(GrayS16 derivX, GrayS16 derivY, int maxAbsValue, @Nullable BufferedImage output) Renders two gradients on the same image using two sets of colors, on for each input image. -
Uses of GrayS16 in boofcv.struct.image
Fields in boofcv.struct.image with type parameters of type GrayS16Methods in boofcv.struct.image that return GrayS16