org.encog.platformspecific.j2se.data.image

Class ImageMLData

java.lang.Object

org.encog.ml.data.basic.BasicMLData

org.encog.platformspecific.j2se.data.image.ImageMLData

All Implemented Interfaces:

Serializable, Cloneable, MLData, CentroidFactory<MLData>

public class ImageMLData
extends BasicMLData

An extension of the BasicNeuralData class that is designed to hold images for input into a neural network. This class should only be used with the ImageNeuralDataSet collection. This class provides the ability to associate images with the elements of a dataset. These images will be downsampled to the resolution specified in the ImageNeuralData set class that they are added to.

Author:

jheaton

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ImageMLData(Image theImage) Construct an object based on an image.

Method Summary

Methods

Modifier and Type	Method and Description
void	downsample(Downsample downsampler, boolean findBounds, int height, int width, double hi, double lo) Downsample, and copy, the image contents into the data of this object.
Image	getImage()
void	setImage(Image theImage)

Methods inherited from class org.encog.ml.data.basic.BasicMLData

add, clear, clone, createCentroid, getData, getData, minus, plus, setData, setData, size, times, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

ImageMLData

public ImageMLData(Image theImage)

Construct an object based on an image.

Parameters:

theImage - The image to use.

Method Detail

downsample

public final void downsample(Downsample downsampler,
              boolean findBounds,
              int height,
              int width,
              double hi,
              double lo)

Downsample, and copy, the image contents into the data of this object. Calling this method has no effect on the image, as the same image can be downsampled multiple times to different resolutions.

Parameters:

downsampler - The downsampler object to use.

findBounds - Should the bounds be located and cropped.

height - The height to downsample to.

width - The width to downsample to.

hi - The high value to normalize to.

lo - The low value to normalize to.

getImage

public final Image getImage()

Returns:

the image

setImage

public final void setImage(Image theImage)

Parameters:

theImage - the image to set