de.lmu.ifi.dbs.jfeaturelib.shapeFeatures

Class SquareModelShapeMatrix

java.lang.Object

de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

de.lmu.ifi.dbs.jfeaturelib.shapeFeatures.SquareModelShapeMatrix

All Implemented Interfaces:

Descriptor, FeatureDescriptor

public class SquareModelShapeMatrix
extends AbstractFeatureDescriptor

The Descriptor represents a binarized shape model by the SquareModelShapreMatrix, also known as GridDescriptor. A brief explanation can be found in http://cdn.intechopen.com/pdfs/5781/InTech-A_survey_of_shape_feature_extraction_techniques.pdf The original paper is written by
J. Flusser, “Invariant shape description and measure of object similarity,” in Proc. 4th, International Conference on Image Processing and its Applications, 1992, pp. 139-142.

Since:

v1.1.0

Author:

Johannes Stadler

Nested Class Summary

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.jfeaturelib.Descriptor

Descriptor.Supports

Field Summary

Fields inherited from class de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

pcs

Fields inherited from interface de.lmu.ifi.dbs.jfeaturelib.Descriptor

DOES_ALL

Constructor Summary

Constructors

Constructor and Description
SquareModelShapeMatrix() Initializes the SquareModelShapeMatrix with default background color (0/black) and a default matrix size.
SquareModelShapeMatrix(int matrixDimension)
SquareModelShapeMatrix(int matrixDimension, int backgroundColor)

Method Summary

Methods

Modifier and Type	Method and Description
String	getDescription() Returns a short plain Text description about the Descriptor and the semantics of the double array obtained from FeatureDescriptor.getFeatures().
int[][]	getMatrix()
void	run(ij.process.ImageProcessor ip) Start processing of this algorithm on the given image processor.
void	setBackgroundColor(int backgroundColor)
void	setMatrixDimension(int matrixDimension)
void	setProperties(LibProperties properties) Injects the properties class that can be used to retrieve several properties.
EnumSet<Descriptor.Supports>	supports() Determine the capabilities of this algorithm.

Methods inherited from class de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

addData, addData, addData, addPropertyChangeListener, endProgress, firePropertyChange, getFeatures, getMask, inMask, setMask, startProgress

Methods inherited from class java.lang.Object

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

Constructor Detail

SquareModelShapeMatrix

public SquareModelShapeMatrix()

Initializes the SquareModelShapeMatrix with default background color (0/black) and a default matrix size.

SquareModelShapeMatrix

public SquareModelShapeMatrix(int matrixDimension)

SquareModelShapeMatrix

public SquareModelShapeMatrix(int matrixDimension,
                      int backgroundColor)

Method Detail

setProperties

public void setProperties(LibProperties properties)
                   throws IOException

Description copied from interface: FeatureDescriptor

Injects the properties class that can be used to retrieve several properties.

Specified by:

setProperties in interface FeatureDescriptor

Overrides:

setProperties in class AbstractFeatureDescriptor

Throws:

IOException - if something went wrong

getMatrix

public int[][] getMatrix()

Returns:

the actual binarized SquareModelShapeMatrix

run

public void run(ij.process.ImageProcessor ip)

Description copied from interface: Descriptor

Start processing of this algorithm on the given image processor. Keep in mind that if the imageProcessor is changed, Supports.NoChanges must not be set. This is also the case even if only ImageProcessor.snapshot() is used.

supports

public EnumSet<Descriptor.Supports> supports()

Description copied from interface: Descriptor

Determine the capabilities of this algorithm.

Specified by:

supports in interface Descriptor

Overrides:

supports in class AbstractFeatureDescriptor

Returns:

the set of supported capabilities.

getDescription

public String getDescription()

Description copied from interface: FeatureDescriptor

Returns a short plain Text description about the Descriptor and the semantics of the double array obtained from FeatureDescriptor.getFeatures(). May return null if no description is implemented - even though this should be avoided by any means.

Returns:

semantic description of getFeatures or null.

setBackgroundColor

public void setBackgroundColor(int backgroundColor)

setMatrixDimension

public void setMatrixDimension(int matrixDimension)