org.openimaj.image.feature.global

Class Naturalness

java.lang.Object

org.openimaj.image.mask.AbstractMaskedObject<FImage>

org.openimaj.image.feature.global.Naturalness

All Implemented Interfaces:

FeatureVectorProvider<DoubleFV>, ImageAnalyser<MBFImage>, MaskedObject<FImage>

public class Naturalness
extends AbstractMaskedObject<FImage>
implements ImageAnalyser<MBFImage>, FeatureVectorProvider<DoubleFV>

Implementation of the Naturalness index (CNI) defined by Huang, Qiao & Wu. The CNI is a single valued summary of how natural the colours in an image are. The index is a value between 0 and 1. Higher values indicate that the colours in the image are more natural .

Author:

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

Bibliography:

• Plain Text
• BibTex
• OpenIMAJ Annotation

K. Huang, Q. Wang and Z. Wu. Natural color image enhancement and evaluation algorithm based on human visual system. Comput. Vis. Image Underst.. Elsevier Science Inc.. pp52, , 63. jul, 2006. http://dx.doi.org/10.1016/j.cviu.2006.02.007

@article{Huang2006
 author = {{Huang, Kai-Qi} and {Wang, Qiao} and {Wu, Zhen-Yang}}
 title = {Natural color image enhancement and evaluation algorithm based on human visual system}
 year = {2006}
 journal = {Comput. Vis. Image Underst.}
 pages = {52, , 63}
 url = {http://dx.doi.org/10.1016/j.cviu.2006.02.007}
 month = {jul}
 number = {1}
 publisher = {Elsevier Science Inc.}
 volume = {103}
}

@Reference(type=Article,
           author={"Huang, Kai-Qi","Wang, Qiao","Wu, Zhen-Yang"},
           title="Natural color image enhancement and evaluation algorithm based on human visual system",
           year="2006",
           journal="Comput. Vis. Image Underst.",
           pages={"52","","63"},
           url="http://dx.doi.org/10.1016/j.cviu.2006.02.007",
           month="jul",
           number="1",
           publisher="Elsevier Science Inc.",
           volume="103")

Field Summary

Fields inherited from class org.openimaj.image.mask.AbstractMaskedObject

mask

Constructor Summary

Constructors

Constructor and Description
Naturalness() Construct with no mask set
Naturalness(FImage mask) Construct with a mask.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(MBFImage image) Analyse an image.
DoubleFV	getFeatureVector() Get the FeatureVector associated with this object.
double	getNaturalness() Get the naturalness value for the image previously analysed with analyseImage(MBFImage).

Methods inherited from class org.openimaj.image.mask.AbstractMaskedObject

getMask, setMask

Methods inherited from class java.lang.Object

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

Constructor Detail

Naturalness

public Naturalness()

Construct with no mask set

Naturalness

public Naturalness(FImage mask)

Construct with a mask.

Parameters:

mask - the mask.

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.

getNaturalness

public double getNaturalness()

Get the naturalness value for the image previously analysed with analyseImage(MBFImage).

Returns:

the naturalness value

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.