BaseBagOfVisualWordsTModel, TFeature, TPoint, TClustering, TExtractorCompute Method (Bitmap, Double)

Note: This API is now obsolete.

Computes the Bag of Words model.

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

Syntax

[ObsoleteAttribute("Please configure the tolerance of the clustering algorithm directly in the algorithm itself by accessing it through the Clustering property of this class.")]
public List<TFeature>[] Compute(
	Bitmap[] images,
	double threshold
)

<ObsoleteAttribute("Please configure the tolerance of the clustering algorithm directly in the algorithm itself by accessing it through the Clustering property of this class.")>
Public Function Compute ( 
	images As Bitmap(),
	threshold As Double
) As List(Of TFeature)()

Request Example View Source

Parameters

images: Type: System.DrawingBitmap
The set of images to initialize the model.
threshold: Type: SystemDouble
Convergence rate for the k-means algorithm. Default is 1e-5.

Return Value

Type: ListTFeature
The list of feature points detected in all images.

Reference

BaseBagOfVisualWordsTModel, TFeature, TPoint, TClustering, TExtractor Class

Compute Overload

Accord.Imaging Namespace