FeatureExtractor.Clustering.Windsurf
Class WindsurfKMeansClustering

java.lang.Object
  FeatureExtractor.Clustering.GenericClustering
      FeatureExtractor.Clustering.KMeans.KMeansClustering
          FeatureExtractor.Clustering.Windsurf.WindsurfKMeansClustering

public class WindsurfKMeansClustering
extends KMeansClustering

Class for the k-means clustering of Windsurf images.

Field Summary

Fields inherited from class FeatureExtractor.Clustering.GenericClustering

d

Constructor Summary

WindsurfKMeansClustering(ClusteringDistance d, int n)
Basic constructor.

Method Summary

static ClusteringFeatures[][]	getSubMatrix(ClusteringFeatures[][] matrix, boolean width, boolean height) Extracts a submatrix from a bi-dimensional ClusteringFeatures array.
protected java.util.Vector<Pixel>	selectPixels(GenericFilterOutput image) method to extract the pixels to be clustered from the output of the filter.

Methods inherited from class FeatureExtractor.Clustering.KMeans.KMeansClustering

cluster, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

WindsurfKMeansClustering

public WindsurfKMeansClustering(ClusteringDistance d,
                                int n)

Basic constructor.

Parameters:

d - The clustering distance to be used to compare pixels.

n - The number of requested clusters.

Method Detail

selectPixels

protected java.util.Vector<Pixel> selectPixels(GenericFilterOutput image)

method to extract the pixels to be clustered from the output of the filter.

Specified by:

selectPixels in class KMeansClustering

Parameters:

image - Filtered image to which the clustering algorithm should be applied.

Returns:

Vector of pixels to which the clustering algorithm will be applied.

getSubMatrix

public static ClusteringFeatures[][] getSubMatrix(ClusteringFeatures[][] matrix,
                                                  boolean width,
                                                  boolean height)

Extracts a submatrix from a bi-dimensional ClusteringFeatures array.

Parameters:

matrix - The bi-dimensional array where the submatrix is extracted from.

width - Selects either the left (true) or the right (false) part of the matrix.

height - Selects either the lower (true) or the upper (false) part of the matrix.

Returns:

The extracted submatrix.