Package adams.data.image.features

Class BasicStatistics

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.image.AbstractImageFeatureGenerator<BufferedImageContainer>

adams.data.image.features.AbstractBufferedImageFeatureGenerator

adams.data.image.features.BasicStatistics

All Implemented Interfaces:

CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, ShallowCopySupporter<AbstractImageFeatureGenerator>, SizeOfHandler, Serializable, Comparable

public class BasicStatistics
extends AbstractBufferedImageFeatureGenerator

Calculates min/max/mean/median/stdev for each channel (R,G,B).

-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
    The logging level for outputting errors and debugging output.
    default: WARNING
 

-converter <adams.data.featureconverter.AbstractFeatureConverter> (property: converter)
    The feature converter to use to produce the output data.
    default: adams.data.featureconverter.SpreadSheet -data-row-type adams.data.spreadsheet.DenseDataRow -spreadsheet-type adams.data.spreadsheet.DefaultSpreadSheet
 

-prefix <java.lang.String> (property: prefix)
    The (optional) prefix to use for the feature names.
    default:
 

-field <adams.data.report.Field> [-field ...] (property: fields)
    The fields to add to the output.
    default:
 

-notes <adams.core.base.BaseString> [-notes ...] (property: notes)
    The notes to add as attributes to the generated data, eg 'PROCESS INFORMATION'
    .
    default:
 

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class adams.data.image.AbstractImageFeatureGenerator

m_Converter, m_Fields, m_Notes, m_Prefix

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
BasicStatistics()

Method Summary

Modifier and Type	Method	Description
HeaderDefinition	createHeader(BufferedImageContainer img)	Creates the header from a template image.
List<Object>[]	generateRows(BufferedImageContainer img)	Performs the actual feature generation.
String	globalInfo()	Returns a string describing the object.

Methods inherited from class adams.data.image.AbstractImageFeatureGenerator

checkData, cleanUp, compareTo, converterTipText, defineOptions, destroy, equals, fieldsTipText, generate, getConverter, getDatasetFormat, getFields, getNotes, getPrefix, getRowFormat, notesTipText, postProcessHeader, postProcessRow, postProcessRows, prefixTipText, reset, setConverter, setFields, setNotes, setPrefix, shallowCopy, shallowCopy

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Constructor Detail

BasicStatistics

public BasicStatistics()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

createHeader

public HeaderDefinition createHeader(BufferedImageContainer img)

Creates the header from a template image.

Specified by:

createHeader in class AbstractImageFeatureGenerator<BufferedImageContainer>

Parameters:

img - the image to act as a template

Returns:

the generated header

generateRows

public List<Object>[] generateRows(BufferedImageContainer img)

Performs the actual feature generation.

Specified by:

generateRows in class AbstractImageFeatureGenerator<BufferedImageContainer>

Parameters:

img - the image to process

Returns:

the generated features