SuperpixelLSC Class

Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in @cite LiCVPR2015LSC. LSC(Linear Spectral Clustering) produces compact and uniform superpixels with low computational costs.Basically, a normalized cuts formulation of the superpixel segmentation is adopted based on a similarity metric that measures the color similarity and space proximity between image pixels.LSC is of linear computational complexity and high memory efficiency and is able to preserve global properties of images.

Inheritance Hierarchy

SystemObject
  OpenCvSharpDisposableObject
    OpenCvSharpDisposableCvObject
      OpenCvSharpAlgorithm
        OpenCvSharp.XImgProcSuperpixelLSC

Namespace: OpenCvSharp.XImgProc
Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0

Syntax

C++

Copy

public class SuperpixelLSC : Algorithm

Public Class SuperpixelLSC
	Inherits Algorithm

public ref class SuperpixelLSC : public Algorithm

type SuperpixelLSC =  
    class
        inherit Algorithm
    end

The SuperpixelLSC type exposes the following members.

Constructors

	Name	Description
	SuperpixelLSC	Creates instance by raw pointer

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Properties

	Name	Description
	AllocatedMemory	Gets or sets a memory address allocated by AllocMemory. (Inherited from DisposableObject.)
	AllocatedMemorySize	Gets or sets the byte length of the allocated memory (Inherited from DisposableObject.)
	CvPtr	Native pointer of OpenCV structure (Inherited from DisposableCvObject.)
	DataHandle	Gets or sets a handle which allocates using cvSetData. (Inherited from DisposableObject.)
	Empty	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read (Inherited from Algorithm.)
	IsDisposed	Gets a value indicating whether this instance has been disposed. (Inherited from DisposableObject.)
	IsEnabledDispose	Gets or sets a value indicating whether you permit disposing this instance. (Inherited from DisposableObject.)

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Methods

	Name	Description
	AllocGCHandle	Pins the object to be allocated by cvSetData. (Inherited from DisposableObject.)
	AllocMemory	Allocates the specified size of memory. (Inherited from DisposableObject.)
	Create	Class implementing the LSC (Linear Spectral Clustering) superpixels. The function initializes a SuperpixelLSC object for the input image. It sets the parameters of superpixel algorithm, which are: region_size and ruler.It preallocate some buffers for future computing iterations over the given image.An example of LSC is illustrated in the following picture. For enhanced results it is recommended for color images to preprocess image with little gaussian blur with a small 3 x 3 kernel and additional conversion into CieLAB color space.
	Dispose	Releases the resources (Inherited from DisposableObject.)
	Dispose(Boolean)	Releases the resources (Inherited from DisposableObject.)
	DisposeManaged	Releases managed resources (Overrides DisposableObjectDisposeManaged.)
	DisposeUnmanaged	releases unmanaged resources (Inherited from DisposableCvObject.)
	EnforceLabelConnectivity	Enforce label connectivity. The function merge component that is too small, assigning the previously found adjacent label to this component.Calling this function may change the final number of superpixels.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Destructor (Inherited from DisposableObject.)
	GetDefaultName	Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string. (Inherited from Algorithm.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetLabelContourMask	Returns the mask of the superpixel segmentation stored in SuperpixelLSC object. The function return the boundaries of the superpixel segmentation.
	GetLabels	Returns the segmentation labeling of the image. Each label represents a superpixel, and each pixel is assigned to one superpixel label. The function returns an image with the labels of the superpixel segmentation.The labels are in the range [0, getNumberOfSuperpixels()].
	GetNumberOfSuperpixels	Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelLSC object.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Iterate	Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object. This function can be called again without the need of initializing the algorithm with createSuperpixelLSC(). This save the computational cost of allocating memory for all the structures of the algorithm. The function computes the superpixels segmentation of an image with the parameters initialized with the function createSuperpixelLSC(). The algorithms starts from a grid of superpixels and then refines the boundaries by proposing updates of edges boundaries.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	NotifyMemoryPressure	Notifies the allocated size of memory. (Inherited from DisposableObject.)
	Read	Reads algorithm parameters from a file storage (Inherited from Algorithm.)
	Save	Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage fs). (Inherited from Algorithm.)
	ThrowIfDisposed	If this object is disposed, then ObjectDisposedException is thrown. (Inherited from DisposableObject.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Write	Stores algorithm parameters in a file storage (Inherited from Algorithm.)

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Fields

	Name	Description
	ptr	Data pointer (Inherited from DisposableCvObject.)

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Reference

OpenCvSharp.XImgProc Namespace