AdaptiveSmoothing Class

Adaptive Smoothing - noise removal with edges preserving.

Inheritance Hierarchy

SystemObject
Accord.Imaging.FiltersBaseUsingCopyPartialFilter
Accord.Imaging.FiltersAdaptiveSmoothing

Namespace: Accord.Imaging.Filters
Assembly: Accord.Imaging (in Accord.Imaging.dll) Version: 3.8.0

Syntax

Copy

public class AdaptiveSmoothing : BaseUsingCopyPartialFilter

Public Class AdaptiveSmoothing
	Inherits BaseUsingCopyPartialFilter

Request Example View Source

The AdaptiveSmoothing type exposes the following members.

Constructors

	Name	Description
	AdaptiveSmoothing	Initializes a new instance of the AdaptiveSmoothing class.
	AdaptiveSmoothing(Double)	Initializes a new instance of the AdaptiveSmoothing class.

Top

Properties

	Name	Description
	Factor	Factor value.
	FormatTranslations	Format translations dictionary. (Overrides BaseUsingCopyPartialFilterFormatTranslations.)

Top

Methods

	Name	Description
	Apply(Bitmap)	Apply filter to an image. (Inherited from BaseUsingCopyPartialFilter.)
	Apply(BitmapData)	Apply filter to an image. (Inherited from BaseUsingCopyPartialFilter.)
	Apply(UnmanagedImage)	Apply filter to an image in unmanaged memory. (Inherited from BaseUsingCopyPartialFilter.)
	Apply(UnmanagedImage, UnmanagedImage)	Apply filter to an image in unmanaged memory. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(Bitmap)	Apply filter to an image. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(BitmapData)	Apply filter to an image. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(UnmanagedImage)	Apply filter to an unmanaged image. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(Bitmap, Rectangle)	Apply filter to an image or its part. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(BitmapData, Rectangle)	Apply filter to an image or its part. (Inherited from BaseUsingCopyPartialFilter.)
	ApplyInPlace(UnmanagedImage, Rectangle)	Apply filter to an unmanaged image or its part. (Inherited from BaseUsingCopyPartialFilter.)
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ProcessFilter	Process the filter on the specified image. (Overrides BaseUsingCopyPartialFilterProcessFilter(UnmanagedImage, UnmanagedImage, Rectangle).)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Top

Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

Top

Remarks

The filter is aimed to perform image smoothing, but keeping sharp edges. This makes it applicable to additive noise removal and smoothing objects' interiors, but not applicable for spikes (salt and pepper noise) removal.

The next calculations are done for each pixel:

weights are calculate for 9 pixels - pixel itself and 8 neighbors:
Copy
```
w(x, y) = exp( -1 * (Gx^2 + Gy^2) / (2 * factor^2) )
Gx(x, y) = (I(x + 1, y) - I(x - 1, y)) / 2
Gy(x, y) = (I(x, y + 1) - I(x, y - 1)) / 2
```
, where factor is a configurable value determining smoothing's quality.
sum of 9 weights is calclated (weightTotal);
sum of 9 weighted pixel values is calculatd (total);
destination pixel is calculated as total / weightTotal.

Description of the filter was found in "An Edge Detection Technique Using the Facet Model and Parameterized Relaxation Labeling" by Ioannis Matalas, Student Member, IEEE, Ralph Benjamin, and Richard Kitney.

The filter accepts 8 bpp grayscale images and 24 bpp color images for processing.

Sample usage:

Copy

// create filter
AdaptiveSmoothing filter = new AdaptiveSmoothing( );
// apply the filter
filter.ApplyInPlace( image );

Initial image:

Result image:

Reference

Accord.Imaging.Filters Namespace