volume
Class Hessian

java.lang.Object
  |
  +--volume.Hessian

public class Hessian

extends java.lang.Object

This class implements computing the Hessian tensor matrix of an image, and computing the determinant (to detect blobs) and largest eigenvalues (to detect edges). Copyright (c) 1999-2004, Michael Abramoff. All rights reserved.

Constructor Summary

Hessian()

Method Summary

static float[]	det(float[] image, int width, double scale) Compute the determinant of the Hessian matrix of image.
static void	largest(float[] result, float[] image, int width, double scale) Compute the largest Hessian eigenvectors of a 2-D image.
static float[]	largest(float[] image, int width, double scale) Compute the largest Hessian eigenvectors of a 2-D image.
static void	smallest(float[] result, float[] image, int width, double scale) Compute the smallest Hessian eigenvectors of a 2-D image.
static float[]	smallest(float[] image, int width, double scale) Compute the smallest Hessian eigenvectors of a 2-D image.

Methods inherited from class java.lang.Object

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

Constructor Detail

Hessian

public Hessian()

Method Detail

smallest

public static void smallest(float[] result,
                            float[] image,
                            int width,
                            double scale)

Compute the smallest Hessian eigenvectors of a 2-D image.

Parameters:

result - a float[] in which the result will be stored.

image - the image

width - the width of image in pixels.

scale - the scale of the Gaussian used to compute the first and second order derivatives.

largest

public static void largest(float[] result,
                           float[] image,
                           int width,
                           double scale)
                    throws java.lang.IllegalArgumentException

Compute the largest Hessian eigenvectors of a 2-D image.

Parameters:

result - a float[] in which the result will be stored.

image - the image

width - the width of image in pixels.

scale - the scale of the Gaussian used to compute the first and second order derivatives.

largest

public static float[] largest(float[] image,
                              int width,
                              double scale)

Compute the largest Hessian eigenvectors of a 2-D image.

Parameters:

image - the image

width - the width of image in pixels.

scale - the scale of the Gaussian used to compute the first and second order derivatives.

Returns:

result a float[] witht he largest eigenvalues.

smallest

public static float[] smallest(float[] image,
                               int width,
                               double scale)

Compute the smallest Hessian eigenvectors of a 2-D image.

Parameters:

image - the image

width - the width of image in pixels.

scale - the scale of the Gaussian used to compute the first and second order derivatives.

Returns:

result a float[] witht he largest eigenvalues.

det

public static float[] det(float[] image,
                          int width,
                          double scale)

Compute the determinant of the Hessian matrix of image. L1 L2 where L1 = (dxx + dyy) + SQRT((dxx - dyy)^2 + 4 dxy^2) L2 = (dxx + dyy) - SQRT((dxx - dyy)^2 + 4 dxy^2)

Parameters:

image - the image from which the derivatives are computed

width - of image in pixels.

scale - the scale at which the derivatives will be computed as the stddev of the Gaussian.

Returns:

L1 L2 as a float.