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| vigra::metrics Namespace Reference |

Define functors for various common metrics. More...

## Classes
class | Metric
| Functor to compute a metric between two vectors. More...

## Enumerations
enum | MetricType { ChiSquaredMetric =0, HellingerMetric =1, SquaredNormMetric =2, NormMetric =3, L2Norm =NormMetric, ManhattanMetric =4, L1Norm =ManhattanMetric, SymetricKlMetric =5, BhattacharyaMetric =6 }
| Tags to select a metric for vector distance computation. More...

## Detailed Description

Define functors for various common metrics.

## Enumeration Type Documentation

enum MetricType

Tags to select a metric for vector distance computation.

Enumerator
ChiSquaredMetric | chi-squared distance for histograms (sum of squared differences normalized by means)
HellingerMetric | Hellinger distance (Euclidean distance between the square-root vectors)
SquaredNormMetric | squared Euclidean distance
NormMetric | Euclidean distance (L2 norm)
L2Norm | Euclidean distance (L2 norm)
ManhattanMetric | Manhattan distance (L1 norm)
L1Norm | Manhattan distance (L1 norm)
SymetricKlMetric | symmetric Kullback-Leibler divergence
BhattacharyaMetric | Bhattacharya distance (sum of elementwise geometric means)

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.0 (Fri May 19 2017)