BRISC::Core::Similarity Class Reference

Contains static similarity measures for LIDC nodule comparison. More...

List of all members.

Static Public Member Functions
static double	CalcGaborDistance (LIDCNodule a, LIDCNodule b, string similarityMeasure)
	Calculates the similarity of two nodules based on their Gabor descriptors.
static double	CalcHaralickDistance (LIDCNodule a, LIDCNodule b, LinkedList< string > currentFeatureVector, LIDCNoduleDB noduleDB, string similarityMeasure)
	Calculates the similarity of two nodules based on their Haralick descriptors.
static double	CalcMarkovDistance (LIDCNodule a, LIDCNodule b, string similarityMeasure)
	Calculates the similarity of two nodules based on their Markov descriptors.
Static Private Member Functions
static double[]	meanHistogram (double[] a, double[] b)
	Finds the mean histogram of two histograms.
static double	distChiSquare (double[] a, double[] b)
	Finds the Chi-square similarity between two histograms.
static double	distJeffrey (double[] a, double[] b)
	Finds the Jeffrey divergence between two histograms.
static double	distEuclidean (double[] a, double[] b)
	Calculates the Euclidean distance between two floating-point vectors.
static double	distManhattan (double[] a, double[] b)
	Calculates the Manhattan distance between two floating-point vectors.
static double	distChebychev (double[] a, double[] b)
	Calculates the Chebychev distance between two floating-point vectors.

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Detailed Description

Contains static similarity measures for LIDC nodule comparison.

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Member Function Documentation

static double BRISC::Core::Similarity::CalcGaborDistance	(	LIDCNodule	a,
		LIDCNodule	b,
		string	similarityMeasure
	)			[inline, static]

Calculates the similarity of two nodules based on their Gabor descriptors.

Parameters:

	a	Nodule A
	b	Nodule B
	similarityMeasure	Similarity measure to use

Returns:

Similarity

static double BRISC::Core::Similarity::CalcHaralickDistance	(	LIDCNodule	a,
		LIDCNodule	b,
		LinkedList< string >	currentFeatureVector,
		LIDCNoduleDB	noduleDB,
		string	similarityMeasure
	)			[inline, static]

Calculates the similarity of two nodules based on their Haralick descriptors.

Parameters:

	a	Nodule A
	b	Nodule B
	currentFeatureVector	List of features to extract
	noduleDB	Nodule database (needed to calculate normalized feature vectors)
	similarityMeasure	Similarity measure to use

Returns:

Similarity

static double BRISC::Core::Similarity::CalcMarkovDistance	(	LIDCNodule	a,
		LIDCNodule	b,
		string	similarityMeasure
	)			[inline, static]

Calculates the similarity of two nodules based on their Markov descriptors.

Parameters:

	a	Nodule A
	b	Nodule B
	similarityMeasure	Which similarity to use

Returns:

Similarity

static double BRISC::Core::Similarity::distChebychev	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Calculates the Chebychev distance between two floating-point vectors.

Parameters:

	a	First vector
	b	Second vector

Returns:

Floating-point distance between input vectors

static double BRISC::Core::Similarity::distChiSquare	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Finds the Chi-square similarity between two histograms.

Parameters:

	a	First histogram
	b	Second histogram

Returns:

Similarity measure

static double BRISC::Core::Similarity::distEuclidean	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Calculates the Euclidean distance between two floating-point vectors.

Parameters:

	a	First vector
	b	Second vector

Returns:

Floating-point distance between input vectors

static double BRISC::Core::Similarity::distJeffrey	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Finds the Jeffrey divergence between two histograms.

Parameters:

	a	First histogram
	b	Second histogram

Returns:

Similarity measure

static double BRISC::Core::Similarity::distManhattan	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Calculates the Manhattan distance between two floating-point vectors.

Parameters:

	a	First vector
	b	Second vector

Returns:

Floating-point distance between input vectors

static double [] BRISC::Core::Similarity::meanHistogram	(	double[]	a,
		double[]	b
	)			[inline, static, private]

Finds the mean histogram of two histograms.

Parameters:

	a	First histogram
	b	Second histogram

Returns:

Mean histogram

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The documentation for this class was generated from the following file:

• C:/Documents and Settings/mlam/My Documents/svn-sf-main/src/Core/Similarity.cs

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