edu.jhu.cs.cisst.algorithms.util
Class DataOperations

java.lang.Object
  edu.jhu.cs.cisst.algorithms.util.DataOperations

public final class DataOperations
extends java.lang.Object

The Class DataOperations defines basic operations to perform on raw data.

Constructor Summary

DataOperations()

Method Summary

static float[][]	blur(float[][] image, double stddev) Blur.
static float[][]	gaussianCurvature(float[][] image) Gaussian curvature.
protected static double	getImageValue(float[][] image, int i, int j, int rows, int cols) Gets the image value.
protected static float	getValue(int i, int j, int rows, int cols, float[][] imgMat) Gets the value.
static float[][][]	gradient(float[][] image, boolean componentsFirst) Gradient.
static double	interpolate(double x, double y, double z, ConstGrid grid, int sx, int sy, int sz) Interpolate.
static double	interpolate(double x, double y, double z, float[][][] data, int sx, int sy, int sz) Interpolate.
static double	interpolate(double x, double y, float[][] data, int sx, int sy) Interpolate.
static float[][]	meanCurvature(float[][] image) Mean curvature.
static float[][][]	restrict(float[][][] fineData, Stencil s, int cx, int cy, int cz) Restrict.
static float[][]	restrict(float[][] fineData, Stencil s, int cx, int cy) Restrict.
static float[][]	softThresholdArcTan(float[][] image, double fuzziness) Soft threshold arc tan.
static float[][]	softThresholdSigmoid(float[][] image, double fuzziness) Soft threshold sigmoid.
static float[][]	softThresholdSin(float[][] image, double fuzziness) Soft threshold sin.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DataOperations

public DataOperations()

Method Detail

interpolate

public static final double interpolate(double x,
                                       double y,
                                       float[][] data,
                                       int sx,
                                       int sy)

Interpolate.

Parameters:

x - the x

y - the y

data - the data

sx - the sx

sy - the sy

Returns:

the double

interpolate

public static final double interpolate(double x,
                                       double y,
                                       double z,
                                       float[][][] data,
                                       int sx,
                                       int sy,
                                       int sz)

Interpolate.

Parameters:

x - the x

y - the y

z - the z

data - the data

sx - the sx

sy - the sy

sz - the sz

Returns:

the double

restrict

public static final float[][] restrict(float[][] fineData,
                                       Stencil s,
                                       int cx,
                                       int cy)

Restrict.

Parameters:

fineData - the fine data

s - the stencil

cx - the cx

cy - the cy

Returns:

the float[][]

restrict

public static final float[][][] restrict(float[][][] fineData,
                                         Stencil s,
                                         int cx,
                                         int cy,
                                         int cz)

Restrict.

Parameters:

fineData - the fine data

s - the stencil

cx - the cx

cy - the cy

cz - the cz

Returns:

the float[][][]

softThresholdSigmoid

public static final float[][] softThresholdSigmoid(float[][] image,
                                                   double fuzziness)

Soft threshold sigmoid.

Parameters:

image - the image

fuzziness - the fuzziness

Returns:

the float[][]

softThresholdSin

public static final float[][] softThresholdSin(float[][] image,
                                               double fuzziness)

Soft threshold sin.

Parameters:

image - the image

fuzziness - the fuzziness

Returns:

the float[][]

softThresholdArcTan

public static final float[][] softThresholdArcTan(float[][] image,
                                                  double fuzziness)

Soft threshold arc tan.

Parameters:

image - the image

fuzziness - the fuzziness

Returns:

the float[][]

getValue

protected static final float getValue(int i,
                                      int j,
                                      int rows,
                                      int cols,
                                      float[][] imgMat)

Gets the value.

Parameters:

i - the i

j - the j

rows - the rows

cols - the cols

imgMat - the img mat

Returns:

the value

gaussianCurvature

public static final float[][] gaussianCurvature(float[][] image)

Gaussian curvature.

Parameters:

image - the image

Returns:

the float[][]

meanCurvature

public static final float[][] meanCurvature(float[][] image)

Mean curvature.

Parameters:

image - the image

Returns:

the float[][]

blur

public static final float[][] blur(float[][] image,
                                   double stddev)

Blur.

Parameters:

image - the image

stddev - the stddev

Returns:

the float[][]

gradient

public static float[][][] gradient(float[][] image,
                                   boolean componentsFirst)

Gradient.

Parameters:

image - the image

componentsFirst - indicate components come first

Returns:

the float[][][]

getImageValue

protected static double getImageValue(float[][] image,
                                      int i,
                                      int j,
                                      int rows,
                                      int cols)

Gets the image value.

Parameters:

image - the image

i - the i

j - the j

rows - the rows

cols - the cols

Returns:

the image value

interpolate

public static final double interpolate(double x,
                                       double y,
                                       double z,
                                       ConstGrid grid,
                                       int sx,
                                       int sy,
                                       int sz)

Interpolate.

Parameters:

x - the x

y - the y

z - the z

grid - the grid

sx - the sx

sy - the sy

sz - the sz

Returns:

the double