Uses of Class
FeatureExtractor.Clustering.ClusteringOutput

Packages that use ClusteringOutput

Document.Windsurf	Contains the definition of classes modelling images and regions for Windsurf.
FeatureExtractor	The Feature Extractor is the component in charge of extracting the features from a given image (URL/image file).
FeatureExtractor.Clustering	Contains the abstract classes for the segmentation of images into regions.
FeatureExtractor.Clustering.KMeans	Contains classes implementing the (generic) k-means algorithm.

Uses of ClusteringOutput in Document.Windsurf

Constructors in Document.Windsurf with parameters of type ClusteringOutput

WindsurfImage(ImageID id, WaveletFilterOutput filOut, ClusteringOutput clustOut)
Creates an image with a particular ID from the output of the Wavelet filter and the clustering algorithm.

WindsurfRegion(WaveletFilterOutput filOut, ClusteringOutput clustOut, int id)
Creates a region with a particular ID from the output of the Wavelet filter and the clustering algorithm.

Uses of ClusteringOutput in FeatureExtractor

Methods in FeatureExtractor with parameters of type ClusteringOutput

protected abstract Image	FeatureExtractor.createImage(ImageID id, GenericFilterOutput filOut, ClusteringOutput clustOut) Creates an image with a particular ID from the output of the filter and the clustering algorithm.
protected Image	WindsurfFeatureExtractor.createImage(ImageID id, GenericFilterOutput filOut, ClusteringOutput clustOut) Creates a WindsurfImage with a particular ID from the output of the filter and the clustering algorithm.

Uses of ClusteringOutput in FeatureExtractor.Clustering

Methods in FeatureExtractor.Clustering that return ClusteringOutput

abstract ClusteringOutput

GenericClustering.cluster(GenericFilterOutput image) Applies the clustering algorithm to a given filtered image.

Uses of ClusteringOutput in FeatureExtractor.Clustering.KMeans

Methods in FeatureExtractor.Clustering.KMeans that return ClusteringOutput

ClusteringOutput

KMeansClustering.cluster(GenericFilterOutput image) Applies the k-means clustering algorithm to a given filtered image.