Package adams.data.boofcv.features
Class Otsu
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- All Implemented Interfaces:
CleanUpHandler
,Destroyable
,GlobalInfoSupporter
,LoggingLevelHandler
,LoggingSupporter
,OptionHandler
,ShallowCopySupporter<AbstractImageFeatureGenerator>
,SizeOfHandler
,TechnicalInformationHandler
,Serializable
,Comparable
public class Otsu extends AbstractBoofCVFeatureGenerator implements TechnicalInformationHandler
Computes the variance based threshold using Otsu's method from an input image (gray scale; boofcv.struct.image.GrayU8).
For more information see:
WikiPedia. Otsu's method.
@misc{missing_id, author = {WikiPedia}, title = {Otsu's method}, HTTP = {https://en.wikipedia.org/wiki/Otsu%27s_method} }
-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.SpreadSheet
-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:
-min <int> (property: min) The minimum value to use in the computation (included). default: 0 minimum: 0
-max <int> (property: max) The maximum value to use in the computation (excluded). default: 256 minimum: 1
- Version:
- $Revision: 9598 $
- Author:
- fracpete (fracpete at waikato dot ac dot nz), Dale (dale at cs dot waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected int
m_Max
the max value.protected int
m_Min
the min value.-
Fields inherited from class adams.data.image.AbstractImageFeatureGenerator
m_Converter, m_Fields, m_Notes, m_Prefix
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Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description Otsu()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description HeaderDefinition
createHeader(BoofCVImageContainer img)
Creates the header from a template image.void
defineOptions()
Adds options to the internal list of options.List<Object>[]
generateRows(BoofCVImageContainer img)
Performs the actual feature generation.int
getMax()
Returns the maximum value for the computation.int
getMin()
Returns the minimum value for the computation.TechnicalInformation
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.String
globalInfo()
Returns a string describing the object.String
maxTipText()
Returns the tip text for this property.String
minTipText()
Returns the tip text for this property.void
setMax(int value)
Sets the maximum value for the computation.void
setMin(int value)
Sets the minimum value for the computation.-
Methods inherited from class adams.data.image.AbstractImageFeatureGenerator
checkData, cleanUp, compareTo, converterTipText, destroy, equals, fieldsTipText, generate, getConverter, getDatasetFormat, getFields, getNotes, getPrefix, getRowFormat, notesTipText, postProcessHeader, postProcessRow, postProcessRows, prefixTipText, reset, setConverter, setFields, setNotes, setPrefix, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceGlobalInfoSupporter
- Specified by:
globalInfo
in classAbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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getTechnicalInformation
public TechnicalInformation getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- Specified by:
getTechnicalInformation
in interfaceTechnicalInformationHandler
- Returns:
- the technical information about this class
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceOptionHandler
- Overrides:
defineOptions
in classAbstractImageFeatureGenerator<BoofCVImageContainer>
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setMin
public void setMin(int value)
Sets the minimum value for the computation.- Parameters:
value
- the minimum (incl)
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getMin
public int getMin()
Returns the minimum value for the computation.- Returns:
- the minimum (incl)
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minTipText
public String minTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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setMax
public void setMax(int value)
Sets the maximum value for the computation.- Parameters:
value
- the maximum (excl)
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getMax
public int getMax()
Returns the maximum value for the computation.- Returns:
- the maximum (excl)
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maxTipText
public String maxTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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createHeader
public HeaderDefinition createHeader(BoofCVImageContainer img)
Creates the header from a template image.- Specified by:
createHeader
in classAbstractImageFeatureGenerator<BoofCVImageContainer>
- Parameters:
img
- the image to act as a template- Returns:
- the generated header
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generateRows
public List<Object>[] generateRows(BoofCVImageContainer img)
Performs the actual feature generation.- Specified by:
generateRows
in classAbstractImageFeatureGenerator<BoofCVImageContainer>
- Parameters:
img
- the image to process- Returns:
- the generated features
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