org.bytedeco.opencv.opencv_ximgproc

Class AdaptiveManifoldFilter

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_ximgproc.AdaptiveManifoldFilter

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::ximgproc")
 @Properties(inherit=opencv_ximgproc.class)
public class AdaptiveManifoldFilter
extends Algorithm

\brief Interface for Adaptive Manifold Filter realizations.

For more details about this filter see \cite Gastal12 and References_.

Below listed optional parameters which may be set up with Algorithm::set function. - member double sigma_s = 16.0 Spatial standard deviation. - member double sigma_r = 0.2 Color space standard deviation. - member int tree_height = -1 Height of the manifold tree (default = -1 : automatically computed). - member int num_pca_iterations = 1 Number of iterations to computed the eigenvector. - member bool adjust_outliers = false Specify adjust outliers using Eq. 9 or not. - member bool use_RNG = true Specify use random number generator to compute eigenvector or not.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
AdaptiveManifoldFilter(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	collectGarbage()
static AdaptiveManifoldFilter	create()
void	filter(GpuMat src, GpuMat dst)
void	filter(GpuMat src, GpuMat dst, GpuMat joint)
void	filter(Mat src, Mat dst)
void	filter(Mat src, Mat dst, Mat joint) \brief Apply high-dimensional filtering using adaptive manifolds.
void	filter(UMat src, UMat dst)
void	filter(UMat src, UMat dst, UMat joint)
boolean	getAdjustOutliers()
int	getPCAIterations()
double	getSigmaR()
double	getSigmaS()
int	getTreeHeight()
boolean	getUseRNG()
void	setAdjustOutliers(boolean val) \copybrief getAdjustOutliers @see getAdjustOutliers
void	setPCAIterations(int val) \copybrief getPCAIterations @see getPCAIterations
void	setSigmaR(double val) \copybrief getSigmaR @see getSigmaR
void	setSigmaS(double val) \copybrief getSigmaS @see getSigmaS
void	setTreeHeight(int val) \copybrief getTreeHeight @see getTreeHeight
void	setUseRNG(boolean val) \copybrief getUseRNG @see getUseRNG

Methods inherited from class org.bytedeco.opencv.opencv_core.Algorithm

clear, empty, getDefaultName, getPointer, position, read, save, save, write, write, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AdaptiveManifoldFilter

public AdaptiveManifoldFilter(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

Method Detail

filter

public void filter(@ByVal
                   Mat src,
                   @ByVal
                   Mat dst,
                   @ByVal(nullValue="cv::InputArray(cv::noArray())")
                   Mat joint)

\brief Apply high-dimensional filtering using adaptive manifolds.

Parameters:

src - filtering image with any numbers of channels.

dst - output image.

joint - optional joint (also called as guided) image with any numbers of channels.

filter

public void filter(@ByVal
                   Mat src,
                   @ByVal
                   Mat dst)

filter

public void filter(@ByVal
                   UMat src,
                   @ByVal
                   UMat dst,
                   @ByVal(nullValue="cv::InputArray(cv::noArray())")
                   UMat joint)

filter

public void filter(@ByVal
                   UMat src,
                   @ByVal
                   UMat dst)

filter

public void filter(@ByVal
                   GpuMat src,
                   @ByVal
                   GpuMat dst,
                   @ByVal(nullValue="cv::InputArray(cv::noArray())")
                   GpuMat joint)

filter

public void filter(@ByVal
                   GpuMat src,
                   @ByVal
                   GpuMat dst)

collectGarbage

public void collectGarbage()

create

@opencv_core.Ptr
public static AdaptiveManifoldFilter create()

getSigmaS

public double getSigmaS()

See Also:

setSigmaS

setSigmaS

public void setSigmaS(double val)

\copybrief getSigmaS @see getSigmaS

getSigmaR

public double getSigmaR()

See Also:

setSigmaR

setSigmaR

public void setSigmaR(double val)

\copybrief getSigmaR @see getSigmaR

getTreeHeight

public int getTreeHeight()

See Also:

setTreeHeight

setTreeHeight

public void setTreeHeight(int val)

\copybrief getTreeHeight @see getTreeHeight

getPCAIterations

public int getPCAIterations()

See Also:

setPCAIterations

setPCAIterations

public void setPCAIterations(int val)

\copybrief getPCAIterations @see getPCAIterations

getAdjustOutliers

@Cast(value="bool")
public boolean getAdjustOutliers()

See Also:

setAdjustOutliers

setAdjustOutliers

public void setAdjustOutliers(@Cast(value="bool")
                              boolean val)

\copybrief getAdjustOutliers @see getAdjustOutliers

getUseRNG

@Cast(value="bool")
public boolean getUseRNG()

See Also:

setUseRNG

setUseRNG

public void setUseRNG(@Cast(value="bool")
                      boolean val)

\copybrief getUseRNG @see getUseRNG