org.openimaj.image.feature.global

Class LuoSimplicity

java.lang.Object

org.openimaj.image.feature.global.LuoSimplicity

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"})
public class LuoSimplicity
extends Object
implements ImageAnalyser<MBFImage>, FeatureVectorProvider<DoubleFV>

Estimate the simplicity of an image by looking at the colour distribution of the background using the algorithm defined by Yiwen Luo and Xiaoou Tang.

Author:

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

Constructor Summary

Constructors

Constructor and Description
LuoSimplicity() Construct with the defaults of 16 histograms per image band and a gamma value of 0.01.
LuoSimplicity(int binsPerBand, float gamma, float alpha, int maxKernelSize, int kernelSizeStep, int nbins, int windowSize) Construct with the given parameters.

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

LuoSimplicity

public LuoSimplicity()

Construct with the defaults of 16 histograms per image band and a gamma value of 0.01. The defaults are used for the LuoTangSubjectRegion extractor.

LuoSimplicity

public LuoSimplicity(int binsPerBand,
                     float gamma,
                     float alpha,
                     int maxKernelSize,
                     int kernelSizeStep,
                     int nbins,
                     int windowSize)

Construct with the given parameters.

Parameters:

binsPerBand - the number of histogram bins per colour band

gamma - the gamma value for determining the threshold

alpha - the alpha value.

maxKernelSize - Maximum kernel size for the DepthOfFieldEstimator.

kernelSizeStep - Kernel step size for the DepthOfFieldEstimator.

nbins - Number of bins for the DepthOfFieldEstimator.

windowSize - window size for the DepthOfFieldEstimator.

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.