org.openimaj.image.feature.global

Class ModifiedLuoSimplicity

java.lang.Object

org.openimaj.image.feature.global.ModifiedLuoSimplicity

All Implemented Interfaces:

FeatureVectorProvider<DoubleFV>, ImageAnalyser<MBFImage>

@Reference(type=Inproceedings,author={"Luo, Yiwen","Tang, Xiaoou"},title="Photo and Video Quality Evaluation: Focusing on the Subject",year="2008",booktitle="Proceedings of the 10th European Conference on Computer Vision: Part III",pages={"386","399"},url="http://dx.doi.org/10.1007/978-3-540-88690-7_29",publisher="Springer-Verlag",series="ECCV \'08",customData={"isbn","978-3-540-88689-1","location","Marseille, France","numpages","14","doi","10.1007/978-3-540-88690-7_29","acmid","1478204","address","Berlin, Heidelberg"}) @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 ModifiedLuoSimplicity
extends Object
implements ImageAnalyser<MBFImage>, FeatureVectorProvider<DoubleFV>

Estimate the simplicity of an image by looking at the colour distribution of the background.

Algorithm based on that proposed by Yiwen Luo and Xiaoou Tang, but modified to use the foreground detection approach suggested in Che-Hua Yeh et al.

Author:

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

Field Summary

Fields

Modifier and Type	Field and Description
protected float	alpha
protected int	binsPerBand
protected boolean	boxMode
protected YehSaliency	extractor
protected float	gamma
protected double	simplicity

Constructor Summary

Constructors

Constructor and Description
ModifiedLuoSimplicity() Construct with the default values
ModifiedLuoSimplicity(int binsPerBand, float gamma, boolean boxMode, float alpha, float saliencySigma, float segmenterSigma, float k, int minSize) Construct with the given values

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

Field Detail

extractor

protected YehSaliency extractor

alpha

protected float alpha

binsPerBand

protected int binsPerBand

gamma

protected float gamma

boxMode

protected boolean boxMode

simplicity

protected double simplicity

Constructor Detail

ModifiedLuoSimplicity

public ModifiedLuoSimplicity()

Construct with the default values

ModifiedLuoSimplicity

public ModifiedLuoSimplicity(int binsPerBand,
                             float gamma,
                             boolean boxMode,
                             float alpha,
                             float saliencySigma,
                             float segmenterSigma,
                             float k,
                             int minSize)

Construct with the given values

Parameters:

binsPerBand - the number of histogram bins per colour band

gamma - the gamma value for determining the threshold

boxMode - whether to extract rectangular boxes for the foreground regions (true) or to just use the pixels (false)

alpha - the alpha value for determining the foreground/background threshold

saliencySigma - smoothing for the AchantaSaliency class

segmenterSigma - smoothing for FelzenszwalbHuttenlocherSegmenter.

k - k value for FelzenszwalbHuttenlocherSegmenter.

minSize - minimum region size for FelzenszwalbHuttenlocherSegmenter.

Method Detail

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.

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.