org.openimaj.image.model.pixel

Class HistogramPixelModel

java.lang.Object

org.openimaj.image.model.pixel.PixelClassificationModel<Float[],MBFImage>

org.openimaj.image.model.pixel.MBFPixelClassificationModel

org.openimaj.image.model.pixel.HistogramPixelModel

All Implemented Interfaces:

Serializable, Cloneable, ImageClassificationModel<MBFImage>, EstimatableModel<MBFImage,FImage>, Model<MBFImage,FImage>

public class HistogramPixelModel
extends MBFPixelClassificationModel

An MBFPixelClassificationModel that classifies an individual pixel by comparing it to a joint (colour) histogram. The histogram is learnt from the positive pixel samples given in training. The probability returned by the classification is determined from the value of the histogram bin in which the pixel being classified falls.

Author:

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

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
HistogramModel	model The model histogram; public for speed.

Fields inherited from class org.openimaj.image.model.pixel.MBFPixelClassificationModel

ndims

Constructor Summary

Constructors

Constructor and Description
HistogramPixelModel(int... nbins) Construct with the given number of histogram bins per dimension.

Method Summary

Modifier and Type	Method and Description
protected float	classifyPixel(Float[] pix)
HistogramPixelModel	clone() Clone the model
void	learnModel(MBFImage... images) Learn the model from the given MBFImages.
String	toString()

Methods inherited from class org.openimaj.image.model.pixel.MBFPixelClassificationModel

getArray

Methods inherited from class org.openimaj.image.model.pixel.PixelClassificationModel

classifyImage, estimate, numItemsToEstimate, predict

Methods inherited from class java.lang.Object

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

Field Detail

model

public HistogramModel model

The model histogram; public for speed.

Constructor Detail

HistogramPixelModel

public HistogramPixelModel(int... nbins)

Construct with the given number of histogram bins per dimension.

Parameters:

nbins - number of bins per dimension.

Method Detail

classifyPixel

protected float classifyPixel(Float[] pix)

Specified by:

classifyPixel in class PixelClassificationModel<Float[],MBFImage>

toString

public String toString()

Overrides:

toString in class Object

clone

public HistogramPixelModel clone()

Description copied from interface: EstimatableModel

Clone the model

Specified by:

clone in interface ImageClassificationModel<MBFImage>

Specified by:

clone in interface EstimatableModel<MBFImage,FImage>

Specified by:

clone in class PixelClassificationModel<Float[],MBFImage>

Returns:

a cloned copy

learnModel

public void learnModel(MBFImage... images)

Description copied from interface: ImageClassificationModel

Learn the model from the given MBFImages.

Parameters:

images - the images to learn from