org.openimaj.image.saliency

Class AchantaSaliency

java.lang.Object

org.openimaj.image.saliency.AchantaSaliency

All Implemented Interfaces:

ImageAnalyser<MBFImage>, SaliencyMapGenerator<MBFImage>

@Reference(type=Inproceedings,
           author={"Achanta, Radhakrishna","Hemami, Sheila","Estrada, Francisco","S{\"u}sstrunk, Sabine"},
           title="Frequency-tuned {S}alient {R}egion {D}etection",
           year="2009",
           booktitle="{IEEE} {I}nternational {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition ({CVPR})",
           url="http://infoscience.epfl.ch/record/135217/files/1708.pdf",
           customData={"Affiliation","EPFL","Details","http://infoscience.epfl.ch/record/135217","Keywords","IVRG; NCCR-MICS; NCCR-MICS/CL4; K-Space; PHAROS; Saliency; Segmentation; Frequency-domain analysis","Location","Miami Beach, Florida"})
public class AchantaSaliency
extends Object
implements SaliencyMapGenerator<MBFImage>

Implementation of the saliency map algorithm described in: R. Achanta, S. Hemami, F. Estrada and S. Susstrunk, Frequency-tuned Salient Region Detection, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

Author:

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

Field Summary

Fields

Modifier and Type	Field and Description
protected FImage	map
protected float	sigma

Constructor Summary

Constructors

Constructor and Description
AchantaSaliency() Construct with a smoothing of 1 pixel standard deviation.
AchantaSaliency(float sigma) Construct with the given amount of smoothing.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(MBFImage image) Analyse an image.
FImage	getSaliencyMap() Get the generated saliency map

Methods inherited from class java.lang.Object

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

Field Detail

sigma

protected float sigma

map

protected FImage map

Constructor Detail

AchantaSaliency

public AchantaSaliency(float sigma)

Construct with the given amount of smoothing.

Parameters:

sigma - standard deviation of Gaussian kernel smoothing

AchantaSaliency

public AchantaSaliency()

Construct with a smoothing of 1 pixel standard deviation.

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.

getSaliencyMap

public FImage getSaliencyMap()

Description copied from interface: SaliencyMapGenerator

Get the generated saliency map

Specified by:

getSaliencyMap in interface SaliencyMapGenerator<MBFImage>

Returns:

the saliency map