org.openimaj.image.feature.global

Class ROIProportion

java.lang.Object

org.openimaj.image.feature.global.ROIProportion

All Implemented Interfaces:

FeatureVectorProvider<DoubleFV>, org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.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 ROIProportion
extends Object
implements org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>, FeatureVectorProvider<DoubleFV>

Implementation of the region of interest based image simplicity measure described by Yeh et al.

Basically returns the proportion of the image that can be considered interesting.

Author:

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

Field Summary

Fields

Modifier and Type	Field and Description
protected float	alpha
protected double	roiProportion
protected YehSaliency	saliencyGenerator

Constructor Summary

Constructors

Constructor and Description
ROIProportion() Construct with the default values
ROIProportion(float alpha) Construct with the given alpha value, but use the defaults for the YehSaliency estimator.
ROIProportion(float saliencySigma, float segmenterSigma, float k, int minSize, float alpha) Construct with the given parameters.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(org.openimaj.image.MBFImage image)
DoubleFV	getFeatureVector()

Methods inherited from class java.lang.Object

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

Field Detail

saliencyGenerator

protected YehSaliency saliencyGenerator

alpha

protected float alpha

roiProportion

protected double roiProportion

Constructor Detail

ROIProportion

public ROIProportion()

Construct with the default values

ROIProportion

public ROIProportion(float alpha)

Construct with the given alpha value, but use the defaults for the YehSaliency estimator.

Parameters:

alpha - the alpha value for determining the threshold

ROIProportion

public ROIProportion(float saliencySigma,
                     float segmenterSigma,
                     float k,
                     int minSize,
                     float alpha)

Construct with the given parameters.

Parameters:

saliencySigma - smoothing for the AchantaSaliency class

segmenterSigma - smoothing for FelzenszwalbHuttenlocherSegmenter.

k - k value for FelzenszwalbHuttenlocherSegmenter.

minSize - minimum region size for FelzenszwalbHuttenlocherSegmenter.

alpha - the alpha value for determining the threshold

Method Detail

getFeatureVector

public DoubleFV getFeatureVector()

Specified by:

getFeatureVector in interface FeatureVectorProvider<DoubleFV>

analyseImage

public void analyseImage(org.openimaj.image.MBFImage image)

Specified by:

analyseImage in interface org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>