Analysis Class Reference

Collection of miscellaneous image analysis functions. More...

Static Public Member Functions
static void	LocalEigenValuesAndVectors (ImagePlane plane, FixedFilterSize derivatorSize, FixedFilterSize blurSize, out Image lambda1, out Image lambda2, out Image eigenValue1x, out Image eigenValue1y, out Image eigenValue2x, out Image eigenValue2y)
	Calculate the local eigenvalues and eigenvectors of the Hesse matrix applied to the pixels of the input image. More...
static Image	LocalMinEigenValues (ImagePlane plane, FixedFilterSize derivatorSize, FixedFilterSize blurSize)
	Calculate the minimum local eigenvalues of the Hesse matrix applied to the pixels of the input image. This approach helps identify locations inside the image that contain curved edges. More...
static double	WangQuality (ImagePlane plane1, ImagePlane plane2)
	Calculate the Wang quality for two images. The Wang Quality is a measure of similarity between two images as proposed in a publication by Z. Wang and A. C. Bovik (IEEE Signal Processing Letters, vol. 9, no. 3, pp. 81-84, March 2002). More...

Detailed Description

Collection of miscellaneous image analysis functions.

Member Function Documentation

LocalEigenValuesAndVectors()

static void LocalEigenValuesAndVectors ( ImagePlane  plane, FixedFilterSize  derivatorSize, FixedFilterSize  blurSize, out Image  lambda1, out Image  lambda2, out Image  eigenValue1x, out Image  eigenValue1y, out Image  eigenValue2x, out Image  eigenValue2y  )

static

Calculate the local eigenvalues and eigenvectors of the Hesse matrix applied to the pixels of the input image.

Parameters

plane	image plane to work on
derivatorSize	size of the derivation operator (Sobel) valid inputs are 3x3 and 5x5
blurSize	size fo the blurring operator (valid inputs are 3x3 and 5x5)
lambda1	first eigenvalue for each pixel
lambda2	second eigenvalue for each pixel
eigenValue1x	x-component of the first eigen vector
eigenValue1y	y-component of the first eigen vector
eigenValue2x	x-component of the second eigen vector
eigenValue2y	y-component of the second eigen vector

Exceptions

ObjectDisposedException

If the input plane has already been disposed

LocalMinEigenValues()

static Image LocalMinEigenValues ( ImagePlane  plane, FixedFilterSize  derivatorSize, FixedFilterSize  blurSize  )

static

Calculate the minimum local eigenvalues of the Hesse matrix applied to the pixels of the input image. This approach helps identify locations inside the image that contain curved edges.

Parameters

plane	image plane to work on
derivatorSize	size of the derivation operator (Sobel) valid inputs are 3x3 and 5x5
blurSize	size fo the blurring operator (valid inputs are 3x3 and 5x5)

Returns

image with the minimal local eigenvalues

Exceptions

ObjectDisposedException

If the input plane has already been disposed

WangQuality()

static double WangQuality ( ImagePlane  plane1, ImagePlane  plane2  )

static

Calculate the Wang quality for two images. The Wang Quality is a measure of similarity between two images as proposed in a publication by Z. Wang and A. C. Bovik (IEEE Signal Processing Letters, vol. 9, no. 3, pp. 81-84, March 2002).

Parameters

plane1	plane 1 on which to calculate
plane2	plane 2 on which to calculate

Returns

the quality index (ranging from -1 to 1)

Exceptions

ObjectDisposedException

If the input plane1 /plane2 have already been disposed.