Class ImageTools

Inheritance

Object

ImageTools

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: TowseyLibrary

Assembly: TowseyLibrary.dll

Syntax

public class ImageTools

Fields

Colors

Declaration

public static readonly Color[] Colors

Field Value

Type	Description
SixLabors.ImageSharp.Color[]

DarkColors

Declaration

public static Color[] DarkColors

Field Value

Type	Description
SixLabors.ImageSharp.Color[]

SobelX

Declaration

public static double[, ] SobelX

Field Value

Type	Description
Double[,]

SobelY

Declaration

public static double[, ] SobelY

Field Value

Type	Description
Double[,]

Methods

ApplyInvert(Image<Rgb24>)

Declaration

public static Image ApplyInvert(Image<Rgb24> ImageImage)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	ImageImage

Returns

Type	Description
SixLabors.ImageSharp.Image

Blur(Double[,], Int32)

blurs an image using a square neighbourhood.

Declaration

public static double[, ] Blur(double[, ] matrix, int nh)

Parameters

Type	Name	Description
Double[,]	matrix	the image ot be blurred.
Int32	nh	Note that neighbourhood is distance either side of central pixel.

Returns

Type	Description
Double[,]

Blur(Double[,], Int32, Int32)

blurs and image using a rectangular neighbourhood. Note that in this method neighbourhood dimensions are full side or window.

Declaration

public static double[, ] Blur(double[, ] matrix, int cWindow, int rWindow)

Parameters

Type	Name	Description
Double[,]	matrix	image to be blurred.
Int32	cWindow	column Window i.e. x-dimension.
Int32	rWindow	row Window i.e. y-dimension.

Returns

Type	Description
Double[,]

ByteMatrix2DoublesMatrix(Byte[,])

Declaration

public static double[, ] ByteMatrix2DoublesMatrix(byte[, ] mb)

Parameters

Type	Name	Description
Byte[,]	mb

Returns

Type	Description
Double[,]

CannyEdgeDetection(Image<Rgb24>, Byte, Byte)

The below method is derived from the following site http://premsivakumar.wordpress.com/2010/12/13/edge-detection-using-c-and-aforge-net/ The author references the following Afroge source code http://www.aforgenet.com/framework/features/edge_detectors_filters.html See the below link for how to set the thresholds etc http://homepages.inf.ed.ac.uk/rbf/HIPR2/canny.htm.

Declaration

public static Image CannyEdgeDetection(Image<Rgb24> bmp, byte lowThreshold, byte highThreshold)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	bmp
Byte	lowThreshold
Byte	highThreshold

Returns

Type	Description
SixLabors.ImageSharp.Image

CombineImagesInLine<T>(Color, Image<T>[])

Declaration

public static Image<T> CombineImagesInLine<T>(Color fill, params Image<T>[] images)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
SixLabors.ImageSharp.Color	fill
SixLabors.ImageSharp.Image<T>[]	images

Returns

Type	Description
SixLabors.ImageSharp.Image<T>

Type Parameters

Name	Description
T

CombineImagesInLine<T>(Image<T>[])

Stacks the passed images one on top of the other. Assumes that all images have the same width.

Declaration

public static Image<T> CombineImagesInLine<T>(params Image<T>[] images)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<T>[]	images	An array of images.

Returns

Type	Description
SixLabors.ImageSharp.Image<T>	A single image.

Type Parameters

Name	Description
T

CombineImagesInLine<T>(List<Image<T>>)

Stacks the passed images one on top of the other.

Declaration

public static Image<T> CombineImagesInLine<T>(List<Image<T>> list)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
List<SixLabors.ImageSharp.Image<T>>	list	A list of images.

Returns

Type	Description
SixLabors.ImageSharp.Image<T>	A single image.

Type Parameters

Name	Description
T

CombineImagesVertically<T>(Image<T>[])

Declaration

public static Image<T> CombineImagesVertically<T>(params Image<T>[] images)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<T>[]	images

Returns

Type	Description
SixLabors.ImageSharp.Image<T>

Type Parameters

Name	Description
T

CombineImagesVertically<T>(List<Image<T>>)

Stacks the passed images one on top of the other. Adjust image to widest of them.

Declaration

public static Image<T> CombineImagesVertically<T>(List<Image<T>> list)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
List<SixLabors.ImageSharp.Image<T>>	list

Returns

Type	Description
SixLabors.ImageSharp.Image<T>

Type Parameters

Name	Description
T

CombineImagesVertically<T>(List<Image<T>>, Int32)

Declaration

public static Image<T> CombineImagesVertically<T>(List<Image<T>> list, int maxWidth)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
List<SixLabors.ImageSharp.Image<T>>	list
Int32	maxWidth

Returns

Type	Description
SixLabors.ImageSharp.Image<T>

Type Parameters

Name	Description
T

CombineImagesVertically<T>(Nullable<Int32>, Image<T>[])

Stacks the passed images one on top of the other.

Declaration

public static Image<T> CombineImagesVertically<T>(int? maximumWidth, Image<T>[] array)
    where T : struct, IPixel<T>

Parameters

Type	Name	Description
Nullable<Int32>	maximumWidth	The maximum width of the output images.
SixLabors.ImageSharp.Image<T>[]	array	An array of Image.

Returns

Type	Description
SixLabors.ImageSharp.Image<T>	A single image.

Type Parameters

Name	Description
T

ContrastStretching(Double[,], Double)

this method assumes that all the values in the passed matrix are between zero & one. Will truncate all values > 1 to 1.0. Spurious results will occur if have negative values or values > 1. Should NormaliseMatrixValues matrix first if these conditions do not apply.

Declaration

public static double[, ] ContrastStretching(double[, ] M, double fractionalStretching)

Parameters

Type	Name	Description
Double[,]	M
Double	fractionalStretching

Returns

Type	Description
Double[,]

Convolve(Double[,], Kernal)

Declaration

public static double[, ] Convolve(double[, ] matrix, Kernal name)

Parameters

Type	Name	Description
Double[,]	matrix
Kernal	name

Returns

Type	Description
Double[,]

DetectHighEnergyRegions1(Double[,])

Detect high intensity / high energy regions in an image using blurring followed by rules involving positive and negative gradients.

Declaration

public static double[, ] DetectHighEnergyRegions1(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

DetectHighEnergyRegions3(Double[,])

Detect high intensity / high energy regions in an image using blurring followed by bandwise thresholding.

Declaration

public static double[, ] DetectHighEnergyRegions3(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

DetectLine(Double[,], Int32, Int32, Int32, Double, Int32)

Declaration

public static Tuple<int, double> DetectLine(double[, ] m, int row, int col, int lineLength, double centreThreshold, int resolutionAngle)

Parameters

Type	Name	Description
Double[,]	m
Int32	row
Int32	col
Int32	lineLength
Double	centreThreshold
Int32	resolutionAngle

Returns

Type	Description
Tuple<Int32, Double>

DrawColourChart(Int32, Int32, Color[])

Returns an image of an array of the passed colour patches.

Declaration

public static Image DrawColourChart(int width, int ht, Color[] colorArray)

Parameters

Type	Name	Description
Int32	width
Int32	ht
SixLabors.ImageSharp.Color[]	colorArray

Returns

Type	Description
SixLabors.ImageSharp.Image

DrawMatrix(Byte[,], String)

Declaration

public static void DrawMatrix(byte[, ] mBytes, string pathName)

Parameters

Type	Name	Description
Byte[,]	mBytes
String	pathName

DrawMatrix(Double[], String)

Draws matrix and save image.

Declaration

public static void DrawMatrix(double[] vector, string pathName)

Parameters

Type	Name	Description
Double[]	vector	the data.
String	pathName

DrawMatrix(Double[,], Boolean)

Draws matrix but automatically determines the scale to fit 1000x1000 pixel image.

Declaration

public static Image<Rgb24> DrawMatrix(double[, ] matrix, bool doScale)

Parameters

Type	Name	Description
Double[,]	matrix	the data.
Boolean	doScale

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawMatrix(Double[,], Double, Double, String)

Declaration

public static void DrawMatrix(double[, ] matrix, double lowerBound, double upperBound, string pathName)

Parameters

Type	Name	Description
Double[,]	matrix
Double	lowerBound
Double	upperBound
String	pathName

DrawMatrix(Double[,], Int32, Int32, String)

Declaration

public static void DrawMatrix(double[, ] matrix, int cellXpixels, int cellYpixels, string pathName)

Parameters

Type	Name	Description
Double[,]	matrix
Int32	cellXpixels
Int32	cellYpixels
String	pathName

DrawMatrix(Double[,], String)

Draws matrix and save image.

Declaration

public static void DrawMatrix(double[, ] matrix, string pathName)

Parameters

Type	Name	Description
Double[,]	matrix	the data.
String	pathName

DrawMatrixInColour(Double[,], Boolean)

Draws colour matrix but automatically determines the scale to fit 1000x1000 pixel image.

Declaration

public static Image DrawMatrixInColour(double[, ] matrix, bool doScale)

Parameters

Type	Name	Description
Double[,]	matrix	the data.
Boolean	doScale

Returns

Type	Description
SixLabors.ImageSharp.Image

DrawMatrixInColour(Double[,], Int32, Int32)

Declaration

public static Image DrawMatrixInColour(double[, ] matrix, int xPixelsPerCell, int yPixelsPerCell)

Parameters

Type	Name	Description
Double[,]	matrix
Int32	xPixelsPerCell
Int32	yPixelsPerCell

Returns

Type	Description
SixLabors.ImageSharp.Image

DrawMatrixInColour(Double[,], String, Boolean)

Declaration

public static void DrawMatrixInColour(double[, ] matrix, string pathName, bool doScale)

Parameters

Type	Name	Description
Double[,]	matrix
String	pathName
Boolean	doScale

DrawMatrixInGrayScale(Double[,], Int32, Int32, Boolean)

Draws matrix according to user defined scale.

Declaration

public static Image<Rgb24> DrawMatrixInGrayScale(double[, ] matrix, int xPixelsPerCell, int yPixelsPerCell, bool reverse)

Parameters

Type	Name	Description
Double[,]	matrix	the data.
Int32	xPixelsPerCell	X axis scale - pixels per cell.
Int32	yPixelsPerCell	Y axis scale - pixels per cell.
Boolean	reverse	determines black on white or white on black.

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawMatrixWithoutNormalisation(Double[,])

Draws matrix without normkalising the values in the matrix. Assume some form of normalisation already done.

Declaration

public static Image<Rgb24> DrawMatrixWithoutNormalisation(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix	the data.

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawMatrixWithoutNormalisationGreenScale(Double[,])

Declaration

public static Image<Rgb24> DrawMatrixWithoutNormalisationGreenScale(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawNormalisedMatrix(Double[,])

Draws matrix after first normalising the data.

Declaration

public static Image<Rgb24> DrawNormalisedMatrix(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix	the data.

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawNormalisedMatrix(Double[,], Double, Double)

Declaration

public static Image<Rgb24> DrawNormalisedMatrix(double[, ] matrix, double lowerBound, double upperBound)

Parameters

Type	Name	Description
Double[,]	matrix
Double	lowerBound
Double	upperBound

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawReversedMatrix(Double[,])

Draws matrix after first normalising the data.

Declaration

public static Image<Rgb24> DrawReversedMatrix(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix	the data.

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawReversedMatrix(Double[,], String)

Normalises the matrix between zero and one. Then draws the reversed matrix and saves image to passed path.

Declaration

public static void DrawReversedMatrix(double[, ] matrix, string pathName)

Parameters

Type	Name	Description
Double[,]	matrix	the data.
String	pathName

DrawReversedMatrixWithoutNormalisation(Double[,])

Draws matrix without normkalising the values in the matrix. Assume some form of normalisation already done.

Declaration

public static Image<Rgb24> DrawReversedMatrixWithoutNormalisation(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix	the data.

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawReversedMDNMatrix(Matrix<Double>, String)

Normalises the matrix between zero and one. Then draws the reversed matrix and saves image to passed path.

Declaration

public static void DrawReversedMDNMatrix(Matrix<double> matrix, string pathName)

Parameters

Type	Name	Description
MathNet.Numerics.LinearAlgebra.Matrix<Double>	matrix	the data.
String	pathName

DrawRGBMatrix(Double[,], Double[,], Double[,])

Declaration

public static Image<Rgb24> DrawRGBMatrix(double[, ] matrixR, double[, ] matrixG, double[, ] matrixB)

Parameters

Type	Name	Description
Double[,]	matrixR
Double[,]	matrixG
Double[,]	matrixB

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawVectorInColour(Double[], Int32)

Declaration

public static Image DrawVectorInColour(double[] vector, int cellWidth)

Parameters

Type	Name	Description
Double[]	vector
Int32	cellWidth

Returns

Type	Description
SixLabors.ImageSharp.Image

DrawVectorInGrayScale(Double[], Int32, Int32)

Declaration

public static Image DrawVectorInGrayScale(double[] vector, int cellWidth, int cellHeight)

Parameters

Type	Name	Description
Double[]	vector
Int32	cellWidth
Int32	cellHeight

Returns

Type	Description
SixLabors.ImageSharp.Image

DrawVectorInGrayScaleWithoutNormalisation(Double[], Int32, Int32, Boolean)

This method assumes that the vector has already been normalised by some means such that all values lie between 0.0 and 1.0.

Declaration

public static Image<Rgb24> DrawVectorInGrayScaleWithoutNormalisation(double[] vector, int cellWidth, int cellHeight, bool reverse)

Parameters

Type	Name	Description
Double[]	vector	the vector of normalised values.
Int32	cellWidth	the width of the image.
Int32	cellHeight	the height of each image row.
Boolean	reverse

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawXaxisScale(Image<Rgb24>, Int32, Double, Double, Int32, Int32)

assumes the y-axis has already been drawn already. Therefore require an offset at bottom left to accommodate the width of the y-axis.

Declaration

public static Image<Rgb24> DrawXaxisScale(Image<Rgb24> image, int scaleHeight, double xInterval, double xTicInterval, int yScalePadding, int xOffset)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	image
Int32	scaleHeight
Double	xInterval
Double	xTicInterval
Int32	yScalePadding
Int32	xOffset

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

DrawYaxisScale(Image<Rgb24>, Int32, Double, Double, Int32)

Draws horizontal gridlines on Image.

Declaration

public static Image<Rgb24> DrawYaxisScale(Image<Rgb24> image, int scaleWidth, double yInterval, double yTicInterval, int yOffset)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	image
Int32	scaleWidth
Double	yInterval
Double	yTicInterval
Int32	yOffset

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

FillGaps(Double[,])

Declaration

public static double[, ] FillGaps(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[,]

GaussianBlur_5cell(Double[,])

Returns matrix after convolving with Gaussian blur. The blurring is in 2D, first blurred in x-direction, then in y-direction. Blurring function is {0.006,0.061, 0.242,0.383,0.242,0.061,0.006}.

Declaration

public static double[, ] GaussianBlur_5cell(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

GetColorHistogramNormalized(Image<Rgb24>, Nullable<Rectangle>)

Declaration

public static Dictionary<Color, double> GetColorHistogramNormalized(Image<Rgb24> image, Rectangle? region = default(Rectangle? ))

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	image
Nullable<SixLabors.ImageSharp.Rectangle>	region

Returns

Type	Description
Dictionary<SixLabors.ImageSharp.Color, Double>

GetColorPalette(Int32)

returns a palette of a variety of coluor. Used for displaying clusters identified by colour.

Declaration

public static List<Pen> GetColorPalette(int paletteSize)

Parameters

Type	Name	Description
Int32	paletteSize

Returns

Type	Description
List<SixLabors.ImageSharp.Drawing.Processing.Pen>

GetMatrixImage(Double[,])

Returns an image of the data matrix. Normalises the values from min->max to 0->1. Thus the grey-scale image pixels will range from 0 to 255. This method was originally written to draw sonograms, hence the avoidance of outliers and references to freq bins. Perhaps this method should be put back in BaseSonogram.cs.

Declaration

public static Image<Rgb24> GetMatrixImage(double[, ] data)

Parameters

Type	Name	Description
Double[,]	data

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

GetNoise(Double[,], Int32, Int32)

Returns a small matrix of pixels chosen randomly from the passed matrix, m. The row and column is chosen randomly and then the reuired number of consecutive pixels is transferred. These noise matrices are used to obtain statistics for cross-correlation coefficients.

Declaration

public static double[, ] GetNoise(double[, ] m, int kRows, int kCols)

Parameters

Type	Name	Description
Double[,]	m
Int32	kRows
Int32	kCols

Returns

Type	Description
Double[,]

GetRedGradientPalette()

returns a palette of a variety of coluor. Used for displaying clusters identified by colour.

Declaration

public static List<Pen> GetRedGradientPalette()

Returns

Type	Description
List<SixLabors.ImageSharp.Drawing.Processing.Pen>

GrayScale()

returns a colour array of 256 gray scale values.

Declaration

public static Color[] GrayScale()

Returns

Type	Description
SixLabors.ImageSharp.Color[]

GreenScale()

returns a colour array of 256 green scale values.

Declaration

public static Color[] GreenScale()

Returns

Type	Description
SixLabors.ImageSharp.Color[]

GreyScaleImage2Matrix(Image<Rgb24>)

reads the intensity of a grey scale image into a matrix of double. Assumes gray scale is 0-255 and that color.R = color.G = color.B.

Declaration

public static double[, ] GreyScaleImage2Matrix(Image<Rgb24> Image)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>	Image

Returns

Type	Description
Double[,]

GridFilter(Double[,], Kernal)

Declaration

public static double[, ] GridFilter(double[, ] m, Kernal name)

Parameters

Type	Name	Description
Double[,]	m
Kernal	name

Returns

Type	Description
Double[,]

MexicanHat5X5RidgeDetection(Double[,], out Boolean, out Double, out Int32)

This modifies Sobel's ridge detection by using mexican hat filter. The mexican hat is the difference of two gaussians on different scales. DoG is used in image processing to find ridges. MATRIX must be square with odd number dimensions.

Declaration

public static void MexicanHat5X5RidgeDetection(double[, ] m, out bool isRidge, out double magnitude, out int direction)

Parameters

Type	Name	Description
Double[,]	m
Boolean	isRidge
Double	magnitude
Int32	direction

PercentileThresholds(Double[,], Double, Double, out Double, out Double)

returns the upper and lower thresholds for the pass upper and lower percentile cuts of matrix M Used for some of the noise reduciton algorithms.

Declaration

public static void PercentileThresholds(double[, ] M, double lowerCut, double upperCut, out double lowerThreshold, out double upperThreshold)

Parameters

Type	Name	Description
Double[,]	M
Double	lowerCut
Double	upperCut
Double	lowerThreshold
Double	upperThreshold

ReadImage2Image(String)

Declaration

public static Image<Rgb24> ReadImage2Image(string fileName)

Parameters

Type	Name	Description
String	fileName

Returns

Type	Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>

Reverse256GreyScale(Double[,])

Reverses a 256 grey scale image.

Declaration

public static double[, ] Reverse256GreyScale(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[,]

Shapes_lines(Double[,])

Returns a binary matrix containing high energy lines in the oriignal spectrogram.

Declaration

public static double[, ] Shapes_lines(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

Shapes_lines_bandwise(Double[,])

Returns a binary matrix containing high energy lines in the original spectrogram calculates the threshold bandwise.

Declaration

public static double[, ] Shapes_lines_bandwise(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

Shapes_RemoveSmall(Double[,], Int32, Int32)

Declaration

public static double[, ] Shapes_RemoveSmall(double[, ] m, int minRowWidth, int minColWidth)

Parameters

Type	Name	Description
Double[,]	m
Int32	minRowWidth
Int32	minColWidth

Returns

Type	Description
Double[,]

Shapes_RemoveSmallUnattached(Double[,], Int32, Int32)

Declaration

public static double[, ] Shapes_RemoveSmallUnattached(double[, ] m, int minRowWidth, int minColWidth)

Parameters

Type	Name	Description
Double[,]	m
Int32	minRowWidth
Int32	minColWidth

Returns

Type	Description
Double[,]

Shapes3(Double[,])

Declaration

public static double[, ] Shapes3(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[,]

Shapes4(Double[,])

Declaration

public static ArrayList Shapes4(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
ArrayList

Shapes5(Double[,])

Returns an ArrayList of rectabgular shapes that represent acoustic events / syllables in the sonogram.

Declaration

public static ArrayList Shapes5(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
ArrayList

Signal2NoiseRatio_BandWise(Double[,])

Declaration

public static double[, ] Signal2NoiseRatio_BandWise(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

Signal2NoiseRatio_Local(Double[,], Int32)

Calculates the local signal to noise ratio in the neighbourhood of side=window SNR is defined as local mean / local std dev. Must check that the local std dev is not too small.

Declaration

public static double[, ] Signal2NoiseRatio_Local(double[, ] matrix, int window)

Parameters

Type	Name	Description
Double[,]	matrix
Int32	window

Returns

Type	Description
Double[,]

Sobel5X5CornerDetection(Double[,], out Boolean, out Double, out Double)

Declaration

public static void Sobel5X5CornerDetection(double[, ] m, out bool isCorner, out double magnitude, out double direction)

Parameters

Type	Name	Description
Double[,]	m
Boolean	isCorner
Double	magnitude
Double	direction

Sobel5X5RidgeDetection(Double[,])

Declaration

public static double[] Sobel5X5RidgeDetection(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[]

Sobel5X5RidgeDetection(Double[,], out Boolean, out Double, out Int32)

This version of Sobel's edge detection taken from Graig A. Lindley, Practical Image Processing which includes C code. HOWEVER MODIFED TO PROCESS 5x5 matrix MATRIX must be square with odd number dimensions.

Declaration

public static void Sobel5X5RidgeDetection(double[, ] m, out bool isRidge, out double magnitude, out int direction)

Parameters

Type	Name	Description
Double[,]	m
Boolean	isRidge
Double	magnitude
Int32	direction

SobelEdgeDetection(Double[,])

Declaration

public static double[, ] SobelEdgeDetection(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[,]

SobelEdgeDetection(Double[,], Double)

This version of Sobel's edge detection taken from Graig A. Lindley, Practical Image Processing which includes C code.

Declaration

public static double[, ] SobelEdgeDetection(double[, ] m, double relThreshold)

Parameters

Type	Name	Description
Double[,]	m
Double	relThreshold

Returns

Type	Description
Double[,]

SobelRidgeDetection(Double[,])

This version of Sobel's edge detection taken from Graig A. Lindley, Practical Image Processing which includes C code.

Declaration

public static double[, ] SobelRidgeDetection(double[, ] m)

Parameters

Type	Name	Description
Double[,]	m

Returns

Type	Description
Double[,]

SobelRidgeDetection(Double[,], out Boolean, out Double, out Double)

This version of Sobel's edge detection taken from Graig A. Lindley, Practical Image Processing which includes C code. HOWEVER MODIFED TO PROCESS 5x5 matrix MATRIX must be square with odd number dimensions.

Declaration

public static void SobelRidgeDetection(double[, ] m, out bool isRidge, out double magnitude, out double direction)

Parameters

Type	Name	Description
Double[,]	m
Boolean	isRidge
Double	magnitude
Double	direction

SubtractAverage_BandWise(Double[,])

Declaration

public static double[, ] SubtractAverage_BandWise(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

TestCannyEdgeDetection()

This method is a TEST method for Canny edge detection - see below.

Declaration

public static void TestCannyEdgeDetection()

TrimPercentiles(Double[,])

Declaration

public static double[, ] TrimPercentiles(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

WienerFilter(Double[,])

Declaration

public static double[, ] WienerFilter(double[, ] matrix)

Parameters

Type	Name	Description
Double[,]	matrix

Returns

Type	Description
Double[,]

WienerFilter(Double[,], Int32)

Declaration

public static double[, ] WienerFilter(double[, ] matrix, int NH)

Parameters

Type	Name	Description
Double[,]	matrix
Int32	NH

Returns

Type	Description
Double[,]

WriteImage2File(Image, String)

Declaration

public static void WriteImage2File(Image binaryBmp, string opPath)

Parameters

Type	Name	Description
SixLabors.ImageSharp.Image	binaryBmp
String	opPath

Extension Methods

ObjectExtensions.NotNull(Object)

ObjectExtensions.AsArray<T>(T)

ObjectExtensions.AsList<T>(T)

ObjectExtensions.Wrap<T>(T)

SystemExtensions.BinarySerialize(Object)

ConfigFileExtensions.NotNull(Object, FileInfo, String, String)

ConfigFileExtensions.ValidateNotNull(Object, String, String)

ConfigFileExtensions.ValidateLessThan<T>(Object, Nullable<T>, String, Nullable<T>, String, String)

ExtensionsXml.SerializeObject<T>(T)