Classification image operations

modules containing classification operations on images More...

Modules
	Kernel K-means assignment
	assignment part of Kernel based KMeans clustering algorithm
	Kernel K-means algorithm
	classifies pixels of an image using Kernel k-means algorithm
	Clusters assignment algorithm (clusters centroids given in input)
	Clusters pixels of an input image based on minimum distance, given a set of clusters centroids.
	Clusters centroids computation algorithm
	Compute clusters centroids given an input image and the image of classes.
	KMeansComputeCompactness algorithm
	Compute compactness given an input image of classes and clusters centroids.
	K-means algorithm
	classifies pixels of an image using k-means algorithm
	Image posterization from k-means results algorithm
	Posterize an image using the results from k-means algorithm.
	K-Means++ cluster center initialization
	Initializes the clusters for K-Mean classification.
	Image dimensionality reduction using PCA
	Applies PCA to a sequence image to reduce its dimensionality.

Detailed Description

modules containing classification operations on images

This group aggregates all classification operations on images