org.openimaj.image.model.pixel

Class PixelClassificationModel<Q,T extends org.openimaj.image.Image<Q,T>>

java.lang.Object

org.openimaj.image.model.pixel.PixelClassificationModel<Q,T>

Type Parameters:

Q - Type of pixel

T - Type of image

All Implemented Interfaces:

Serializable, Cloneable, ImageClassificationModel<T>, org.openimaj.math.model.EstimatableModel<T,org.openimaj.image.FImage>, org.openimaj.math.model.Model<T,org.openimaj.image.FImage>

Direct Known Subclasses:

MBFPixelClassificationModel

public abstract class PixelClassificationModel<Q,T extends org.openimaj.image.Image<Q,T>>
extends Object
implements ImageClassificationModel<T>

Simple model for classifying pixels. When learning assumes ALL provided sample pixels are positive exemplars, and that anything not given is negative.

Author:

Jonathon Hare

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PixelClassificationModel()

Method Summary

Modifier and Type	Method and Description
org.openimaj.image.FImage	classifyImage(T im) Classify the given image and return the corresponding probability map
protected abstract float	classifyPixel(Q pix)
abstract PixelClassificationModel<Q,T>	clone()
boolean	estimate(List<? extends org.openimaj.util.pair.IndependentPair<T,org.openimaj.image.FImage>> data)
protected abstract T[]	getArray(int length)
int	numItemsToEstimate()
org.openimaj.image.FImage	predict(T data)

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.openimaj.image.model.ImageClassificationModel

learnModel

Constructor Detail

PixelClassificationModel

public PixelClassificationModel()

Method Detail

classifyPixel

protected abstract float classifyPixel(Q pix)

classifyImage

public org.openimaj.image.FImage classifyImage(T im)

Description copied from interface: ImageClassificationModel

Classify the given image and return the corresponding probability map

Specified by:

classifyImage in interface ImageClassificationModel<T extends org.openimaj.image.Image<Q,T>>

Parameters:

im - the image to classify

Returns:

the probability map

getArray

protected abstract T[] getArray(int length)

estimate

public boolean estimate(List<? extends org.openimaj.util.pair.IndependentPair<T,org.openimaj.image.FImage>> data)

Specified by:

estimate in interface org.openimaj.math.model.EstimatableModel<T extends org.openimaj.image.Image<Q,T>,org.openimaj.image.FImage>

numItemsToEstimate

public int numItemsToEstimate()

Specified by:

numItemsToEstimate in interface org.openimaj.math.model.EstimatableModel<T extends org.openimaj.image.Image<Q,T>,org.openimaj.image.FImage>

predict

public org.openimaj.image.FImage predict(T data)

Specified by:

predict in interface org.openimaj.math.model.Model<T extends org.openimaj.image.Image<Q,T>,org.openimaj.image.FImage>

clone

public abstract PixelClassificationModel<Q,T> clone()

Specified by:

clone in interface ImageClassificationModel<T extends org.openimaj.image.Image<Q,T>>

Specified by:

clone in interface org.openimaj.math.model.EstimatableModel<T extends org.openimaj.image.Image<Q,T>,org.openimaj.image.FImage>

Overrides:

clone in class Object