opencv2/fastcv/blur.hpp#

#include <opencv2/core.hpp>

Include dependency graph for blur.hpp:

opencv2/fastcv/blur.hpp Node1 opencv2/fastcv/blur.hpp Node2 opencv2/core.hpp Node1->Node2 Node3 opencv2/core/cvdef.h Node2->Node3 Node10 opencv2/core/base.hpp Node2->Node10 Node14 opencv2/core/cvstd.hpp Node2->Node14 Node30 opencv2/core/traits.hpp Node2->Node30 Node31 opencv2/core/matx.hpp Node2->Node31 Node36 opencv2/core/types.hpp Node2->Node36 Node39 opencv2/core/mat.hpp Node2->Node39 Node43 opencv2/core/persistence.hpp Node2->Node43 Node44 opencv2/core/operations.hpp Node2->Node44 Node47 opencv2/core/cvstd.inl.hpp Node2->Node47 Node48 opencv2/core/utility.hpp Node2->Node48 Node51 opencv2/core/optim.hpp Node2->Node51 Node4 opencv2/core/version.hpp Node3->Node4 Node5 limits Node3->Node5 Node6 opencv2/core/hal/interface.h Node3->Node6 Node8 cstdint Node3->Node8 Node9 cv_cpu_dispatch.h Node3->Node9 Node7 cstddef Node6->Node7 Node6->Node8 Node10->Node3 Node11 opencv2/opencv_modules.hpp Node10->Node11 Node12 climits Node10->Node12 Node13 algorithm Node10->Node13 Node10->Node14 Node24 opencv2/core/fwddecl.hpp Node10->Node24 Node25 opencv2/core/neon_utils.hpp Node10->Node25 Node26 opencv2/core/vsx_utils.hpp Node10->Node26 Node28 opencv2/core/exception.hpp Node10->Node28 Node29 opencv2/core/check.hpp Node10->Node29 Node14->Node3 Node14->Node7 Node14->Node13 Node15 cstring Node14->Node15 Node16 cctype Node14->Node16 Node17 string Node14->Node17 Node18 utility Node14->Node18 Node19 cstdlib Node14->Node19 Node20 cmath Node14->Node20 Node21 cvstd_wrapper.hpp Node14->Node21 Node21->Node3 Node21->Node17 Node22 memory Node21->Node22 Node23 type_traits Node21->Node23 Node24->Node3 Node25->Node3 Node26->Node3 Node27 assert.h Node26->Node27 Node28->Node3 Node28->Node14 Node29->Node3 Node29->Node14 Node29->Node24 Node30->Node3 Node31->Node3 Node31->Node10 Node31->Node30 Node32 opencv2/core/saturate.hpp Node31->Node32 Node34 initializer_list Node31->Node34 Node35 opencv2/core/matx.inl.hpp Node31->Node35 Node32->Node3 Node32->Node12 Node33 opencv2/core/fast_math.hpp Node32->Node33 Node33->Node3 Node33->Node20 Node36->Node3 Node36->Node5 Node36->Node12 Node36->Node14 Node36->Node31 Node37 cfloat Node36->Node37 Node38 vector Node36->Node38 Node39->Node23 Node39->Node31 Node39->Node36 Node40 opencv2/core/bufferpool.hpp Node39->Node40 Node41 array Node39->Node41 Node42 opencv2/core/mat.inl.hpp Node39->Node42 Node43->Node36 Node43->Node39 Node45 cstdio Node44->Node45 Node46 ostream Node44->Node46 Node48->Node2 Node48->Node46 Node49 functional Node48->Node49 Node50 mutex Node48->Node50 Node51->Node2

opencv2/fastcv/blur.hpp Node1 opencv2/fastcv/blur.hpp Node2 opencv2/core.hpp Node1->Node2 Node3 opencv2/core/cvdef.h Node2->Node3 Node10 opencv2/core/base.hpp Node2->Node10 Node14 opencv2/core/cvstd.hpp Node2->Node14 Node30 opencv2/core/traits.hpp Node2->Node30 Node31 opencv2/core/matx.hpp Node2->Node31 Node36 opencv2/core/types.hpp Node2->Node36 Node39 opencv2/core/mat.hpp Node2->Node39 Node43 opencv2/core/persistence.hpp Node2->Node43 Node44 opencv2/core/operations.hpp Node2->Node44 Node47 opencv2/core/cvstd.inl.hpp Node2->Node47 Node48 opencv2/core/utility.hpp Node2->Node48 Node51 opencv2/core/optim.hpp Node2->Node51 Node4 opencv2/core/version.hpp Node3->Node4 Node5 limits Node3->Node5 Node6 opencv2/core/hal/interface.h Node3->Node6 Node8 cstdint Node3->Node8 Node9 cv_cpu_dispatch.h Node3->Node9 Node7 cstddef Node6->Node7 Node6->Node8 Node10->Node3 Node11 opencv2/opencv_modules.hpp Node10->Node11 Node12 climits Node10->Node12 Node13 algorithm Node10->Node13 Node10->Node14 Node24 opencv2/core/fwddecl.hpp Node10->Node24 Node25 opencv2/core/neon_utils.hpp Node10->Node25 Node26 opencv2/core/vsx_utils.hpp Node10->Node26 Node28 opencv2/core/exception.hpp Node10->Node28 Node29 opencv2/core/check.hpp Node10->Node29 Node14->Node3 Node14->Node7 Node14->Node13 Node15 cstring Node14->Node15 Node16 cctype Node14->Node16 Node17 string Node14->Node17 Node18 utility Node14->Node18 Node19 cstdlib Node14->Node19 Node20 cmath Node14->Node20 Node21 cvstd_wrapper.hpp Node14->Node21 Node21->Node3 Node21->Node17 Node22 memory Node21->Node22 Node23 type_traits Node21->Node23 Node24->Node3 Node25->Node3 Node26->Node3 Node27 assert.h Node26->Node27 Node28->Node3 Node28->Node14 Node29->Node3 Node29->Node14 Node29->Node24 Node30->Node3 Node31->Node3 Node31->Node10 Node31->Node30 Node32 opencv2/core/saturate.hpp Node31->Node32 Node34 initializer_list Node31->Node34 Node35 opencv2/core/matx.inl.hpp Node31->Node35 Node32->Node3 Node32->Node12 Node33 opencv2/core/fast_math.hpp Node32->Node33 Node33->Node3 Node33->Node20 Node36->Node3 Node36->Node5 Node36->Node12 Node36->Node14 Node36->Node31 Node37 cfloat Node36->Node37 Node38 vector Node36->Node38 Node39->Node23 Node39->Node31 Node39->Node36 Node40 opencv2/core/bufferpool.hpp Node39->Node40 Node41 array Node39->Node41 Node42 opencv2/core/mat.inl.hpp Node39->Node42 Node43->Node36 Node43->Node39 Node45 cstdio Node44->Node45 Node46 ostream Node44->Node46 Node48->Node2 Node48->Node46 Node49 functional Node48->Node49 Node50 mutex Node48->Node50 Node51->Node2

This graph shows which files directly or indirectly include blur.hpp:

incby ne8f4f090a3 opencv2/fastcv/blur.hpp n64df2fc09c opencv2/fastcv.hpp n64df2fc09c->ne8f4f090a3

incby ne8f4f090a3 opencv2/fastcv/blur.hpp n64df2fc09c opencv2/fastcv.hpp n64df2fc09c->ne8f4f090a3

Namespaces#

namespace cv
namespace cv::fastcv

Functions#

void cv::fastcv::filter2D (InputArray _src, OutputArray _dst, int ddepth, InputArray _kernel)

NxN correlation with non-separable kernel. Borders up to half-kernel width are ignored.

void cv::fastcv::gaussianBlur (InputArray _src, OutputArray _dst, int kernel_size=3, bool blur_border=true)

Gaussian blur with sigma = 0 and square kernel size. The way of handling borders is different with cv::GaussianBlur, leading to slight variations in the output.

void cv::fastcv::normalizeLocalBox (InputArray _src, OutputArray _dst, Size pSize, bool useStdDev)

Calculates the local subtractive and contrastive normalization of the image. Each pixel of the image is normalized by the mean and standard deviation of the patch centred at the pixel. It is optimized for Qualcomm’s processors.

void cv::fastcv::sepFilter2D (InputArray _src, OutputArray _dst, int ddepth, InputArray _kernelX, InputArray _kernelY)

NxN correlation with separable kernel. If srcImg and dstImg point to the same address and srcStride equals to dstStride, it will do in-place. Borders up to half-kernel width are ignored. The way of handling overflow is different with OpenCV, this function will do right shift for the intermediate results and final result.

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