Collection of functions available for image processing. More...

Static Public Member Functions
static Image	AffineTransform (this Image img, AffineMatrix2D m)
	Creates an affine transformation (homogeneous matrix transformation) of the whole image img . More...

static Image	AffineTransform (this Image img, AffineMatrix2D m, Area2D a)
	Creates an affine transformation (homogeneous matrix transformation) of an area a of the given image img . More...

static Image	LinearTransform (this Image img, Matrix2D m)
	Creates a linear transformation (matrix transformation). More...

static Image	MapTo8Bit (this Image img, bool collective)
	Take an input image and scale the pixel values to fit into the 8 bit value range. More...

static Image	MapTo8Bit (this Image img)
	Take an input image and scale the pixel values to fit into the 8 bit value range, using collective normalization. More...

static Image	NormalizeMinMax (this Image img, double targetMin, double targetMax)
	Normalize an input image using min/max normalization (the gray values of the image will be stretched or compressed to fit the input target minimum and maximum values). More...

static Image	NormalizeMeanVariance (this Image img, double targetMean, double targetVariance)
	Normalize an input image using mean/variance normalization (the gray values of the image will be stretched modified to generate a histogram as close as possible to the input target mean and variance values). More...

static Image	PolarTransform (this Image img, Point2Dd center, double innerRadius, double outerRadius, Angle startAngle, Angle totalAngle)
	Create a polar transformation (i.e. unwrap a ring structure from inside source image into a rectangular image). More...

static Image	PolarTransform (this Image img, Point2Dd center, double innerRadius, double outerRadius)
	Create a polar transformation (i.e. unwrap a ring structure from inside source image into a rectangular image). More...

static Image	InversePolarTransform (this Image img, Angle startAngle, double innerRadius)
	Create an inverse polar transformed image (i.e. transform an unwrapped image back into a ring structure). More...

static void	InversePolarTransform (this Image imgSrc, Point2Dd center, Angle startAngle, double innerRadius, Image imgDst)
	Calculates an inverse polar transformed image (i.e. transform an unwrapped image back into a ring structure). More...

static Image	FlatfieldCorrection (this Image imgSrc, Image imgFlat, double gain)
	Performs a flat field correction on the imgSrc . More...

static Image	FlatfieldCorrection (this Image imgSrc, Image imgFlat, Image imgDark, double gain)
	Performs a flat field correction on the imgSrc with optional correction of the fix pattern noise. More...

static Image	DifferenceMap (Image rangeMap1, Image rangeMap2)
	Creates a difference map of the given range maps. More...

Detailed Description

Collection of functions available for image processing.

Member Function Documentation

◆ AffineTransform() [1/2]

static Image AffineTransform	(	this Image	img,
		AffineMatrix2D	m
	)

static

Creates an affine transformation (homogeneous matrix transformation) of the whole image img .

Linear interpolation is used for the transformation.

Parameters

img	Source image.
m	Matrix to transform img .

Returns: Newly created image.

◆ AffineTransform() [2/2]

static Image AffineTransform	(	this Image	img,
		AffineMatrix2D	m,
		Area2D	a
	)

static

Creates an affine transformation (homogeneous matrix transformation) of an area a of the given image img .

Linear interpolation is used for the transformation.

Parameters

img	Source image.
m	Matrix to transform img .
a	Area of img to transform.

Returns: Newly created image.

◆ DifferenceMap()

static Image DifferenceMap	(	Image	rangeMap1,
		Image	rangeMap2
	)

static

Creates a difference map of the given range maps.

Parameters

rangeMap1	Range map one.
rangeMap2	Range map two.

Returns: Difference map of the given range maps.

Exceptions

ArgumentNullException	When one of the range maps is null.
ObjectDisposedException	When one of the range maps is already disposed.
CvbException	When creating the difference map failed.

◆ FlatfieldCorrection() [1/2]

static Image FlatfieldCorrection	(	this Image	imgSrc,
		Image	imgFlat,
		double	gain
	)

static

Performs a flat field correction on the imgSrc .

Parameters

imgSrc	Image to perform flat field correction on.
imgFlat	The flat image showing the background.
gain	A gain value used to adjust the brightness of the output image. Usually roughly the average gray value of imgSrc is used.

Returns: Flatfield corrected image.

◆ FlatfieldCorrection() [2/2]

static Image FlatfieldCorrection	(	this Image	imgSrc,
		Image	imgFlat,
		Image	imgDark,
		double	gain
	)

static

Performs a flat field correction on the imgSrc with optional correction of the fix pattern noise.

Parameters

imgSrc	Image to perform flat field correction on.
imgFlat	The flat image showing the background.
imgDark	Optional dark image.
gain	A gain value used to adjust the brightness of the output image. Usually roughly the average gray value of imgSrc is used.

Returns: Flatfield corrected image.

◆ InversePolarTransform() [1/2]

static Image InversePolarTransform	(	this Image	img,
		Angle	startAngle,
		double	innerRadius
	)

static

Create an inverse polar transformed image (i.e. transform an unwrapped image back into a ring structure).

Linear interpolation is being used for the transformation.

Parameters

img	Source image
startAngle	Orientation of the start (the total azimuth will be determined from the input image)
innerRadius	Inner radius of the ring (the outer radius will be determined from the input image)

Returns: the transformed image

◆ InversePolarTransform() [2/2]

static void InversePolarTransform	(	this Image	imgSrc,
		Point2Dd	center,
		Angle	startAngle,
		double	innerRadius,
		Image	imgDst
	)

static

Calculates an inverse polar transformed image (i.e. transform an unwrapped image back into a ring structure).

Linear interpolation is being used for the transformation.

Parameters

imgSrc	Source image
center	Center for the inverse transformation (i.e. the point around which the ring will be constructed)
startAngle	Orientation of the start (the total azimuth will be determined from the input image)
innerRadius	Inner radius of the ring (the outer radius will be determined from the input image)
imgDst	Destination image into which the unwrap result will be painted

◆ LinearTransform()

static Image LinearTransform	(	this Image	img,
		Matrix2D	m
	)

static

Creates a linear transformation (matrix transformation).

Linear interpolation is used for the transformation.

Parameters

img	Source image.
m	Matrix to transform img .

Returns: Newly created image.

◆ MapTo8Bit() [1/2]

static Image MapTo8Bit ( this Image img )

static

Take an input image and scale the pixel values to fit into the 8 bit value range, using collective normalization.

Parameters

img	image to be mapped

Returns: newly create image

Exceptions

ArgumentNullException	If the input img is null
ObjectDisposedException	If the input img has already been disposed

◆ MapTo8Bit() [2/2]

static Image MapTo8Bit	(	this Image	img,
		bool	collective
	)

static

Take an input image and scale the pixel values to fit into the 8 bit value range.

Parameters

img	image to be mapped
collective	If true, the same normalization factors will be used for all planes, if false the normalization will be carried out independently for each plane

Returns: newly create image

Exceptions

ArgumentNullException	If the input img is null
ObjectDisposedException	If the input img has already been disposed

◆ NormalizeMeanVariance()

static Image NormalizeMeanVariance	(	this Image	img,
		double	targetMean,
		double	targetVariance
	)

static

Normalize an input image using mean/variance normalization (the gray values of the image will be stretched modified to generate a histogram as close as possible to the input target mean and variance values).

Parameters

img	image to be normalized
targetMean	target mean value to achieve
targetVariance	target variance value to achieve

Returns: newly created image

Exceptions

ArgumentNullException	If the input img is null
ObjectDisposedException	If the input img has already been disposed

◆ NormalizeMinMax()

static Image NormalizeMinMax	(	this Image	img,
		double	targetMin,
		double	targetMax
	)

static

Normalize an input image using min/max normalization (the gray values of the image will be stretched or compressed to fit the input target minimum and maximum values).

Parameters

img	image to be normalized
targetMin	target minimum value to achieve
targetMax	target maximum value to achieve

Returns: newly created image

Exceptions

ArgumentNullException	If the input img is null
ObjectDisposedException	If the input img has already been disposed

◆ PolarTransform() [1/2]

static Image PolarTransform	(	this Image	img,
		Point2Dd	center,
		double	innerRadius,
		double	outerRadius
	)

static

Create a polar transformation (i.e. unwrap a ring structure from inside source image into a rectangular image).

Linear interpolation is being used for the transformation.

Parameters

img	Source image
center	Center image for the polar transform
innerRadius	Inner radius of the ring
outerRadius	Outer radius of the ring

Returns: Newly created image.

◆ PolarTransform() [2/2]

static Image PolarTransform	(	this Image	img,
		Point2Dd	center,
		double	innerRadius,
		double	outerRadius,
		Angle	startAngle,
		Angle	totalAngle
	)

static

Create a polar transformation (i.e. unwrap a ring structure from inside source image into a rectangular image).

Linear interpolation is being used for the transformation.

Parameters

img	Source image
center	Center image for the polar transform
startAngle	Orientation of the start angle
totalAngle	The total angle to cover
innerRadius	Inner radius of the ring
outerRadius	Outer radius of the ring

Returns: Newly created image.

Static Public Member Functions

Detailed Description

Member Function Documentation

◆ AffineTransform() [1/2]

◆ AffineTransform() [2/2]

◆ DifferenceMap()

◆ FlatfieldCorrection() [1/2]

◆ FlatfieldCorrection() [2/2]

◆ InversePolarTransform() [1/2]

◆ InversePolarTransform() [2/2]

◆ LinearTransform()

◆ MapTo8Bit() [1/2]

◆ MapTo8Bit() [2/2]

◆ NormalizeMeanVariance()

◆ NormalizeMinMax()

◆ PolarTransform() [1/2]

◆ PolarTransform() [2/2]