org.openimaj.image.feature.global

Class ColourContrast

java.lang.Object

org.openimaj.image.feature.global.ColourContrast

All Implemented Interfaces:

FeatureVectorProvider<DoubleFV>, ImageAnalyser<MBFImage>

@Reference(type=Inproceedings,
           author={"Che-Hua Yeh","Yuan-Chen Ho","Brian A. Barsky","Ming Ouhyoung"},
           title="Personalized Photograph Ranking and Selection System",
           year="2010",
           booktitle="Proceedings of ACM Multimedia",
           pages={"211","220"},
           month="October",
           customData={"location","Florence, Italy"})
public class ColourContrast
extends Object
implements ImageAnalyser<MBFImage>, FeatureVectorProvider<DoubleFV>

Implementation of a color contrast feature.

The feature is calculated by performing a weighted average of the average colour difference of all the segments in the image.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
ColourContrast() Construct the ColourContrast feature extractor using the default settings for the FelzenszwalbHuttenlocherSegmenter.
ColourContrast(float sigma, float k, int minSize) Construct the ColourContrast feature extractor with the given parameters for the underlying FelzenszwalbHuttenlocherSegmenter.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(MBFImage image) Analyse an image.
DoubleFV	getFeatureVector() Get the FeatureVector associated with this object.

Methods inherited from class java.lang.Object

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

Constructor Detail

ColourContrast

public ColourContrast()

Construct the ColourContrast feature extractor using the default settings for the FelzenszwalbHuttenlocherSegmenter.

ColourContrast

public ColourContrast(float sigma,
                      float k,
                      int minSize)

Construct the ColourContrast feature extractor with the given parameters for the underlying FelzenszwalbHuttenlocherSegmenter.

Parameters:

sigma - amount of blurring

k - threshold

minSize - minimum allowed component size

Method Detail

getFeatureVector

public DoubleFV getFeatureVector()

Description copied from interface: FeatureVectorProvider

Get the FeatureVector associated with this object.

Specified by:

getFeatureVector in interface FeatureVectorProvider<DoubleFV>

Returns:

the feature vector.

analyseImage

public void analyseImage(MBFImage image)

Description copied from interface: ImageAnalyser

Analyse an image.

Specified by:

analyseImage in interface ImageAnalyser<MBFImage>

Parameters:

image - The image to process in place.