Uses of Class
FeatureExtractor.Clustering.Pixel

Packages that use Pixel

FeatureExtractor.Clustering	Contains the abstract classes for the segmentation of images into regions.
FeatureExtractor.Clustering.KMeans	Contains classes implementing the (generic) k-means algorithm.
FeatureExtractor.Clustering.Windsurf	Contains classes specific for the Windsurf clustering algorithm.

Uses of Pixel in FeatureExtractor.Clustering

Methods in FeatureExtractor.Clustering that return Pixel

Pixel

Cluster.getPixel(int pos) Returns the pixel at a specified position.

Methods in FeatureExtractor.Clustering that return types with arguments of type Pixel

java.util.Vector<Pixel>

Cluster.getPixels() Returns all the pixels of this cluster.

Methods in FeatureExtractor.Clustering with parameters of type Pixel

void	Cluster.add(Pixel p) Adds a new pixel to the cluster.

Method parameters in FeatureExtractor.Clustering with type arguments of type Pixel

static java.util.Vector<java.lang.Integer>	Pixel.getX(java.util.Vector<Pixel> v) Extracts all the x coordinates of a vector of pixels.
static java.util.Vector<java.lang.Integer>	Pixel.getY(java.util.Vector<Pixel> v) Extracts all the y coordinates of a vector of pixels.

Uses of Pixel in FeatureExtractor.Clustering.KMeans

Methods in FeatureExtractor.Clustering.KMeans that return types with arguments of type Pixel

protected abstract java.util.Vector<Pixel>

KMeansClustering.selectPixels(GenericFilterOutput image) Abstract method to extract the pixels to be clustered from the output of the filter.

Uses of Pixel in FeatureExtractor.Clustering.Windsurf

Methods in FeatureExtractor.Clustering.Windsurf that return types with arguments of type Pixel

protected java.util.Vector<Pixel>

WindsurfKMeansClustering.selectPixels(GenericFilterOutput image) method to extract the pixels to be clustered from the output of the filter.