SoAutoIntensityClassificationProcessing Class |
OIV.ImageViz.Engines.ImageSegmentation.Classification.SoAutoIntensityClassificationProcessing classifies all pixels/voxels of an image using the k-means method.
Namespace: OIV.ImageViz.Engines.ImageSegmentation.Classification
The SoAutoIntensityClassificationProcessing type exposes the following members.
Name | Description | |
---|---|---|
SoAutoIntensityClassificationProcessing | Constructor. |
Name | Description | |
---|---|---|
AbortEvaluate | Abort current processing as soon as possible. | |
Copy | Creates and returns an exact copy of the engine. | |
CopyFieldValues(SoFieldContainer) | Calls CopyFieldValues(fc, false). (Inherited from SoFieldContainer.) | |
CopyFieldValues(SoFieldContainer, Boolean) | Copies the contents of fc's fields into this object's fields. | |
Dispose |
Releases all resources used by SoDisposable.
(Inherited from SoDisposable.) | |
EnableNotify | Notification at this Field Container is enabled (if flag == true) or disabled (if flag == false). | |
Equals | Determines whether the specified Object is equal to the current Object. (Inherited from Object.) | |
FieldsAreEqual | Returns true if this object's fields are exactly equal to fc's fields. | |
Get | Returns the values of the fields of this object in the Open Inventor ASCII file format in the given string. | |
GetAllFields | Returns a list of fields, including the eventIn's and eventOut's. | |
GetEventIn | Returns a the eventIn with the given name. | |
GetEventOut | Returns the eventOut with the given name. | |
GetField | Returns a the field of this object whose name is fieldName. | |
GetFieldName | Returns the name of the given field in the fieldName argument. | |
GetFields | Appends references to all of this object's fields to resultList, and returns the number of fields appended. | |
GetHashCode |
Overrides GetHashCode().
(Inherited from SoNetBase.) | |
GetName | Returns the name of an instance. | |
GetOutput | Returns a reference to the engine output with the given name. | |
GetOutputName | Returns (in outputName) the name of the engine output (output). | |
GetOutputs | Returns a list of outputs in this engine. | |
GetStringName | (Inherited from SoBase.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
HasDefaultValues | Returns true if all of the object's fields have their default values. | |
IsEvaluating | Returns true if the engine evaluation is in progress. | |
IsNotifyEnabled | Notification is the process of telling interested objects that this object has changed. | |
IsSynchronizable | Gets the ScaleViz synchronizable state of this object. | |
Set | Sets one or more fields in this object to the values specified in the given string, which should be a string in the Open Inventor file format. | |
SetName | (Inherited from SoBase.) | |
SetSynchronizable | Sets this to be a ScaleViz synchronizable object. | |
SetToDefaults | Sets all fields in this object to their default values. | |
StartEvaluate | Evaluate engine and dependencies in another thread without blocking the current one. | |
ToString |
Converts this SoBase structure to a human readable string.
(Inherited from SoBase.) | |
Touch | Marks an instance as modified, simulating a change to it. | |
WaitEvaluate | Wait for the end of engine evaluation. |
Name | Description | |
---|---|---|
classNumber | The number of classes to detect (i.e. | |
computeMode | Select the compute Mode (2D or 3D or AUTO) . | |
dataPercentage | The data percentage used for pre-computing the classification. | |
inImage | The input image. | |
IsDisposable | ISafeDisposable interface implementation.
(Inherited from SoDisposable.) | |
outLabelImage | The output label image where a one label represents one class. | |
UserData |
Gets or sets the user data to be contained by the field container.
(Inherited from SoFieldContainer.) |
Name | Description | |
---|---|---|
OnBegin | Event raised when the processing begins. | |
OnEnd | Event raised when processing ends and the result is available. | |
OnProgress | Event raised while processing is running. |
Given a set of observations (x1, x2, ..., xn), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k (= n) sets S = {S1, S2, ..., Sk} so as to minimize the within-cluster sum of squares (WCSS) (sum of distance functions of each point in the cluster to the K center).
Lloyd, S. P. "Least square quantization in PCM." IEEE Transactions on Information Theory 28 (2): 129–137, 1982.
AutoIntensityClassificationProcessing {
computeMode | MODE_AUTO |
inImage | NULL |
classNumber | 2 |
dataPercentage | 100 |
Library references: k_means_classification