Filter functions that come with the Minos library. More...

Public Types
enum	KernelSize { Kernel2x2 = 2 , Kernel3x3 = 3 , Kernel4x4 = 4 , Kernel5x5 = 5 }
	Available kernel sizes for the filter functions exported by the Minos library. Note that not all filters will work with all kernel sizes (see filter function description for a list) and some filters only work with a fixed kernel size in the Minos library. Note also that the Minos filters will only work on images with 8 bits per pixel input. More...

enum	FilterOrder { Order1st = 1 , Order2nd = 2 }
	Order of the ButterworthLowPass or ButterworthHighPassfilter to be applied. More...

Static Public Member Functions
static Image	Laplace (Image image)
	Apply a 3x3 Laplace filter to the input image. An offset gray value of 128 is added to the result to reduce loss of information. Underflow and overflow gray values are truncated to 0 and 255 respectively. More...

static Image	Sharpen (Image image)
	Apply a 3x3 sharpen filter to the input image. Underflow and overflow gray values are truncated to 0 and 255 respectively. More...

static Image	Dilate (Image image)
	Apply a 3x3 dilation filter to the input image. More...

static Image	Erode (Image image)
	Apply a 3x3 erode filter to the input image. More...

static Image	ButterworthHighPass (Image image, double gain, int offset, double cutOff, FilterOrder order)
	Apply a ButterWorth high pass filter to the image . Underflow and overflow gray values are truncated to 0 and 255 respectively. More...

static Image	ButterworthLowPass (Image image, double cutOff, FilterOrder order)
	Apply a ButterWorth low pass filter to the image . Underflow and overflow gray values are truncated to 0 and 255 respectively. More...

static Image	LowPass (Image image, KernelSize kernelSize)
	Apply a low pass filter to the input image . Low pass filters are available with kernel sizes 2x2, 3x3 and 5x5. More...

static Image	Edge (Image image, KernelSize kernelSize)
	Apply an Edge filter to the input image . Edge filters are available with kernel sizes 2x2 and 3x3. More...

static Image	Pyramid (Image image, KernelSize kernelSize)
	Apply an Pyramid filter to the input image . Pyramid filters are available with kernel sizes 3x3, 4x4 and 5x5. More...

static Image	User (Image image, KernelSize kernelSize, double[] kernel)
	Apply a user-defined filter to the input image . The convolution kernel may have the size 2x2, 3x3 or 5x5. The filter coefficients need to be specified as an array of double values passed as the kernel argument. Please note that although the kernel elements are of type double, the filter will only work on and only create output data with 8 bits per pixel. Overflow and under- flow values will be truncated to 0 and 255 respectively. More...

static Image	User (Image image, KernelSize kernelSize, double[,] kernel)
	Apply a user-defined filter to the input image . The convolution kernel may have the size 2x2, 3x3 or 5x5. The filter coefficients need to be specified as an array of double values passed as the kernel argument. Please note that although the kernel elements are of type double, the filter will only work on and only create output data with 8 bits per pixel. Overflow and under- flow values will be truncated to 0 and 255 respectively. More...

Detailed Description

Filter functions that come with the Minos library.

Member Enumeration Documentation

◆ FilterOrder

enum FilterOrder

Order of the ButterworthLowPass or ButterworthHighPassfilter to be applied.

Enumerator
Order1st	1st order filter
Order2nd	2nd order filter

◆ KernelSize

enum KernelSize

Available kernel sizes for the filter functions exported by the Minos library. Note that not all filters will work with all kernel sizes (see filter function description for a list) and some filters only work with a fixed kernel size in the Minos library. Note also that the Minos filters will only work on images with 8 bits per pixel input.

Enumerator
Kernel2x2	kernel with 2x2 elements
Kernel3x3	kernel with 3x3 elements
Kernel4x4	kernel with 4x4 elements
Kernel5x5	kernel with 5x5 elements

Member Function Documentation

◆ ButterworthHighPass()

static Image ButterworthHighPass	(	Image	image,
		double	gain,
		int	offset,
		double	cutOff,
		FilterOrder	order
	)

static

Apply a ButterWorth high pass filter to the image . Underflow and overflow gray values are truncated to 0 and 255 respectively.

Parameters

image	image to be filtered
cutOff	cut off parameter of the ButterWorth algorithm
gain	gain to be applied to the frequency response
offset	offset to be applied to the frequency response
order	order of the ButterWorth filter to be used

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ ButterworthLowPass()

static Image ButterworthLowPass	(	Image	image,
		double	cutOff,
		FilterOrder	order
	)

static

Apply a ButterWorth low pass filter to the image . Underflow and overflow gray values are truncated to 0 and 255 respectively.

Parameters

image	image to be filtered
cutOff	cut off parameter of the ButterWorth algorithm
order	order of the ButterWorth filter to be used

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ Dilate()

static Image Dilate ( Image image )

static

Apply a 3x3 dilation filter to the input image.

Parameters

image image to be filtered

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ Edge()

static Image Edge	(	Image	image,
		KernelSize	kernelSize
	)

static

Apply an Edge filter to the input image . Edge filters are available with kernel sizes 2x2 and 3x3.

Parameters

image	image to be filtered
kernelSize	kernel size to be used

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned
ArgumentException	If an invalid kernelSize was selected

◆ Erode()

static Image Erode ( Image image )

static

Apply a 3x3 erode filter to the input image.

Parameters

image image to be filtered

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ Laplace()

static Image Laplace ( Image image )

static

Apply a 3x3 Laplace filter to the input image. An offset gray value of 128 is added to the result to reduce loss of information. Underflow and overflow gray values are truncated to 0 and 255 respectively.

Parameters

image image to be filtered

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ LowPass()

static Image LowPass	(	Image	image,
		KernelSize	kernelSize
	)

static

Apply a low pass filter to the input image . Low pass filters are available with kernel sizes 2x2, 3x3 and 5x5.

Parameters

image	image to be filtered
kernelSize	kernel size to be used

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned
ArgumentException	If an invalid kernelSize was selected

◆ Pyramid()

static Image Pyramid	(	Image	image,
		KernelSize	kernelSize
	)

static

Apply an Pyramid filter to the input image . Pyramid filters are available with kernel sizes 3x3, 4x4 and 5x5.

Parameters

image	image to be filtered
kernelSize	kernel size to be used

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned
ArgumentException	If an invalid kernelSize was selected

◆ Sharpen()

static Image Sharpen ( Image image )

static

Apply a 3x3 sharpen filter to the input image. Underflow and overflow gray values are truncated to 0 and 255 respectively.

Parameters

image image to be filtered

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned

◆ User() [1/2]

static Image User	(	Image	image,
		KernelSize	kernelSize,
		double	kernel[,]
	)

static

Apply a user-defined filter to the input image . The convolution kernel may have the size 2x2, 3x3 or 5x5. The filter coefficients need to be specified as an array of double values passed as the kernel argument. Please note that although the kernel elements are of type double, the filter will only work on and only create output data with 8 bits per pixel. Overflow and under- flow values will be truncated to 0 and 255 respectively.

Parameters

image	image to be filtered
kernelSize	kernel size to be used
kernel	kernel coefficients; the number of coefficients that are needed depends on the kernelSize . If too many coefficients are given then any surplus coefficients will be ignored. The kernel coefficients may be passed as a 1D array with width * height elements or as a 2D array with width and height elements

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter or the kernel parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned
ArgumentException	If an invalid kernelSize was selected or if an insufficient number of coefficients was given

◆ User() [2/2]

static Image User	(	Image	image,
		KernelSize	kernelSize,
		double[]	kernel
	)

static

Apply a user-defined filter to the input image . The convolution kernel may have the size 2x2, 3x3 or 5x5. The filter coefficients need to be specified as an array of double values passed as the kernel argument. Please note that although the kernel elements are of type double, the filter will only work on and only create output data with 8 bits per pixel. Overflow and under- flow values will be truncated to 0 and 255 respectively.

Parameters

image	image to be filtered
kernelSize	kernel size to be used
kernel	kernel coefficients; the number of coefficients that are needed depends on the kernelSize . If too many coefficients are given then any surplus coefficients will be ignored. The kernel coefficients should be passed as a 1D array with width * height elements starting in the top left corner of the filter mask and listing the elements line by line

Returns: filtered image

Exceptions

ArgumentNullException	If the image parameter or the kernel parameter is null
ObjectDisposedException	If the image has already been disposed of
CvbException	when trying to call the filter function on an image with a pixel format other than 8 bits per pixel unsigned
ArgumentException	If an invalid kernelSize was selected or if an insufficient number of coefficients was given

Public Types

Static Public Member Functions

Detailed Description

Member Enumeration Documentation

◆ FilterOrder

◆ KernelSize

Member Function Documentation

◆ ButterworthHighPass()

◆ ButterworthLowPass()

◆ Dilate()

◆ Edge()

◆ Erode()

◆ Laplace()

◆ LowPass()

◆ Pyramid()

◆ Sharpen()

◆ User() [1/2]

◆ User() [2/2]