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more spelling fixes

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jef-n committed May 3, 2013
1 parent 13e7b33 commit e0907b0f0a2102c37ecf9e6fa133c6c8e1c3c654
Showing with 73 additions and 67 deletions.
  1. +1 −1 python/core/qgsdataitem.sip
  2. +1 −1 python/core/qgsvectorlayer.sip
  3. +1 −1 python/core/raster/qgsrasterdataprovider.sip
  4. +2 −2 python/core/symbology-ng/qgscptcityarchive.sip
  5. +1 −1 python/gui/qgisinterface.sip
  6. +1 −1 python/gui/qgsexpressionbuilderwidget.sip
  7. +1 −1 python/plugins/mapserver_export/mapserverexport.py
  8. +1 −1 python/plugins/sextante/otb/description/doc/DimensionalityReduction.html
  9. +1 −1 python/plugins/sextante/otb/description/doc/EdisonMeanShiftSegmentation.html
  10. +1 −1 python/plugins/sextante/otb/description/doc/EdisonMeanShiftSegmentationVector.html
  11. +2 −2 python/plugins/sextante/otb/description/doc/HyperspectralUnmixing.html
  12. +1 −1 python/plugins/sextante/otb/description/doc/MeanShiftSegmentation.html
  13. +1 −1 python/plugins/sextante/otb/description/doc/MeanShiftSegmentationVector.html
  14. +1 −1 python/plugins/sextante/otb/description/doc/SimpleConnectedComponentsSegmentation.html
  15. +1 −1 python/plugins/sextante/otb/description/doc/SimpleConnectedComponentsSegmentationVector.html
  16. +1 −1 python/plugins/sextante/otb/description/doc/WatershedSegmentation.html
  17. +1 −1 python/plugins/sextante/otb/description/doc/WatershedSegmentationVector.html
  18. +2 −2 resources/cpt-city-qgis-min/cb/DESC.xml
  19. +1 −1 resources/cpt-city-qgis-min/cb/div/DESC.xml
  20. +1 −1 resources/cpt-city-qgis-min/cb/qual/DESC.xml
  21. +1 −1 resources/cpt-city-qgis-min/cb/seq/DESC.xml
  22. +1 −1 resources/cpt-city-qgis-min/dg/DESC.xml
  23. +1 −1 resources/cpt-city-qgis-min/ds9/DESC.xml
  24. +1 −1 resources/cpt-city-qgis-min/go2/DESC.xml
  25. +1 −1 resources/cpt-city-qgis-min/go2/webtwo/DESC.xml
  26. +2 −2 resources/cpt-city-qgis-min/grass/DESC.xml
  27. +1 −1 resources/cpt-city-qgis-min/h5/COPYING.xml
  28. +2 −2 resources/cpt-city-qgis-min/h5/DESC.xml
  29. +1 −1 resources/cpt-city-qgis-min/jjg/cbac/COPYING.xml
  30. +1 −1 resources/cpt-city-qgis-min/jjg/cbcont/COPYING.xml
  31. +1 −1 resources/cpt-city-qgis-min/jjg/dem/COPYING.xml
  32. +1 −1 resources/cpt-city-qgis-min/jjg/misc/COPYING.xml
  33. +1 −1 resources/cpt-city-qgis-min/jjg/physics/COPYING.xml
  34. +1 −1 resources/cpt-city-qgis-min/jjg/polarity/COPYING.xml
  35. +1 −1 resources/cpt-city-qgis-min/jjg/polarity/DESC.xml
  36. +1 −1 resources/cpt-city-qgis-min/km/DESC.xml
  37. +2 −2 resources/cpt-city-qgis-min/ncl/DESC.xml
  38. +1 −1 resources/cpt-city-qgis-min/ngdc/COPYING.xml
  39. +2 −2 resources/cpt-city-qgis-min/saga/DESC.xml
  40. +6 −0 scripts/spelling.dat
  41. +1 −1 src/core/composer/qgscomposerlegend.cpp
  42. +1 −1 src/core/qgsdataitem.h
  43. +2 −2 src/core/qgsvectorlayer.h
  44. +1 −1 src/core/qgsvectorlayercache.h
  45. +1 −1 src/core/raster/qgsrasterdataprovider.h
  46. +2 −2 src/core/symbology-ng/qgscptcityarchive.h
  47. +1 −1 src/gui/qgisinterface.h
  48. +1 −1 src/gui/qgsexpressionbuilderwidget.h
  49. +1 −1 src/gui/qgsmaptoolidentify.cpp
  50. +1 −1 src/plugins/evis/databaseconnection/evisdatabaseconnectiongui.h
  51. +1 −1 src/plugins/georeferencer/qgsgeorefplugingui.cpp
  52. +1 −1 src/plugins/grass/qgsgrassbrowser.h
  53. +2 −2 src/plugins/grass/qgsgrassmodule.cpp
  54. +2 −2 tests/testdata/cpt-city/cb/DESC.xml
  55. +1 −1 tests/testdata/cpt-city/cb/div/DESC.xml
  56. +1 −1 tests/testdata/cpt-city/jjg/misc/COPYING.xml
  57. +1 −1 tests/testdata/font/CREDITS
@@ -37,7 +37,7 @@ class QgsDataItem : QObject
// remove and delete child item, signals to browser are emitted
virtual void deleteChildItem( QgsDataItem * child );

// remove child item but don't delete it, signals to browser are emited
// remove child item but don't delete it, signals to browser are emitted
// returns pointer to the removed item or null if no such item was found
virtual QgsDataItem *removeChildItem( QgsDataItem * child ) /TransferBack/;

@@ -859,7 +859,7 @@ class QgsVectorLayer : QgsMapLayer

signals:

/** This signal is emited when selection was changed */
/** This signal is emitted when selection was changed */
void selectionChanged();

/** This signal is emitted when modifications has been done on layer */
@@ -199,7 +199,7 @@ class QgsRasterDataProvider : QgsDataProvider, QgsRasterInterface

signals:
/** Emit a signal to notify of the progress event.
* Emited theProgress is in percents (0.0-100.0) */
* Emitted theProgress is in percents (0.0-100.0) */
void progress( int theType, double theProgress, QString theMessage );
void progressUpdate( int theProgress );

@@ -76,10 +76,10 @@ class QgsCptCityDataItem : QObject
// refresh - refresh populated item, emit signals to model
virtual void addChildItem( QgsCptCityDataItem * child /Transfer/, bool refresh = false );

// remove and delete child item, signals to browser are emited
// remove and delete child item, signals to browser are emitted
virtual void deleteChildItem( QgsCptCityDataItem * child );

// remove child item but don't delete it, signals to browser are emited
// remove child item but don't delete it, signals to browser are emitted
// returns pointer to the removed item or null if no such item was found
virtual QgsCptCityDataItem * removeChildItem( QgsCptCityDataItem * child ) /TransferBack/;

@@ -491,7 +491,7 @@ class QgisInterface : QObject
virtual int messageTimeout() = 0;

signals:
/** Emited whenever current (selected) layer changes.
/** Emitted whenever current (selected) layer changes.
* The pointer to layer can be null if no layer is selected
*/
void currentLayerChanged( QgsMapLayer * layer );
@@ -122,7 +122,7 @@ class QgsExpressionBuilderWidget : QWidget
void loadAllValues();

signals:
/** Emited when the user changes the expression in the widget.
/** Emitted when the user changes the expression in the widget.
* Users of this widget should connect to this signal to decide if to let the user
* continue.
* @param isValid Is true if the expression the user has typed is valid.
@@ -185,7 +185,7 @@ def saveMapFile(self):
settings = QSettings()
# mapfile name
settings.setValue("/MapserverExport/mapfileName", QVariant(self.dlg.ui.txtMapFilePath.text()))
# map width and heigth
# map width and height
settings.setValue("/MapserverExport/mapWidth", QVariant(self.dlg.ui.txtMapWidth.text()))
settings.setValue("/MapserverExport/mapHeight", QVariant(self.dlg.ui.txtMapHeight.text()))
# mapserver url
@@ -251,7 +251,7 @@ <h5 class="subsubsectionHead"><a

</li>
<li class="itemize"><span
class="ptmb7t-">ICA</span>: Independant Component Analysis.
class="ptmb7t-">ICA</span>: Independent Component Analysis.
<ul class="itemize2">
<li class="itemize"><span
class="ptmb7t-">number of iterations :</span>
@@ -28,7 +28,7 @@ <h5 class="subsubsectionHead"><a


regions. The labeled output can be passed to the ColorMapping application to render regions with
contrasted colours. Please note that this mode loads the whole input image into memory, and as such can
contrasted colors. Please note that this mode loads the whole input image into memory, and as such can
not handle large images. <br
class="newline" /><br
class="newline" />To segment large data, one can use the vector mode. In this case, the output of the application is a
@@ -28,7 +28,7 @@ <h5 class="subsubsectionHead"><a


regions. The labeled output can be passed to the ColorMapping application to render regions with
contrasted colours. Please note that this mode loads the whole input image into memory, and as such can
contrasted colors. Please note that this mode loads the whole input image into memory, and as such can
not handle large images. <br
class="newline" /><br
class="newline" />To segment large data, one can use the vector mode. In this case, the output of the application is a
@@ -1,4 +1,4 @@
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//ENhttp://www.w3.org/TR/REC-html40/strict.dtd"><html><head><meta name="qrichtext" content="1" /><style type="text/css">p, li { white-space: pre-wrap; }</style></head><body style=" font-family:'Sans Serif'; font-size:9pt; font-weight:400; font-style:normal;"></style></head><body style=" font-family:'Sans Serif'; font-size:9pt; font-weight:400; font-style:normal;"><p align="center" style=" margin-top:16px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:x-large; font-weight:600;"><span style=" font-size:x-large;">Hyperspectral data unmixing</span></p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Brief Description</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Estimate abundance maps from an hyperspectral image and a set of endmembers.</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Tags</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Hyperspectral</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Long Description</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">The application applies a linear unmixing algorithm to an hyperspectral data cube. This method supposes that the mixture between materials in the scene is macroscopic and simulate a linear mixing model of spectra.
The Linear Mixing Model (LMM) acknowledges that reflectance spectrum associated with each pixel is a linear combination of pure materials in the recovery area, commonly known as endmembers.Endmembers can be estimated using the VertexComponentAnalysis application.
The application allows to estimate the abundance maps with several algorithms : Unconstrained Least Square (ucls), Fully Constrained Least Square (fcls),Image Space Reconstruction Algorithm (isra) and Non-negative constrained Least Square (ncls) and Minimum Dispertion Constrained Non Negative Matrix Factorization (MDMDNMF).
</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Parameters</span></p><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Input Image Filename (-in): </span>The hyperspectral data cube to unmix</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Output Image (-out): </span>The output abundance map</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Input endmembers (-ie): </span>The endmembers (estimated pure pixels) to use for unmixing. Must be stored as a multispectral image, where each pixel is interpreted as an endmember</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[choice] Unmixing algorithm (-ua): </span>The algorithm to use for unmixing</p><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] UCLS: </span>Unconstrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] FCLS: </span>Fully constrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] NCLS: </span>Non-negative constrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] ISRA: </span>Image Space Reconstruction Algorithm</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] MDMDNMF: </span>Minimum Dispertion Constrained Non Negative Matrix Factorization</p><ul></ul></li></ul></li><br /></ul><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Limitations</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">None</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Authors</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">OTB-Team</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">See also</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">VertexComponentAnalysis</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Example of use</span></p><ul><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><li>Parameters to set value:</li></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Input Image Filename: hsi_cube.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Output Image: HyperspectralUnmixing.tif double</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Input endmembers: endmembers.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Unmixing algorithm: ucls</p></li></ul></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><li>Command line to execute:</li></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-family:'Courier New, courier';">otbcli_HyperspectralUnmixing -in hsi_cube.tif -out HyperspectralUnmixing.tif double -ie endmembers.tif -ua ucls</p></ul></body></html>
The application allows to estimate the abundance maps with several algorithms : Unconstrained Least Square (ucls), Fully Constrained Least Square (fcls),Image Space Reconstruction Algorithm (isra) and Non-negative constrained Least Square (ncls) and Minimum Dispersion Constrained Non Negative Matrix Factorization (MDMDNMF).
</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Parameters</span></p><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Input Image Filename (-in): </span>The hyperspectral data cube to unmix</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Output Image (-out): </span>The output abundance map</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[param] Input endmembers (-ie): </span>The endmembers (estimated pure pixels) to use for unmixing. Must be stored as a multispectral image, where each pixel is interpreted as an endmember</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[choice] Unmixing algorithm (-ua): </span>The algorithm to use for unmixing</p><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] UCLS: </span>Unconstrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] FCLS: </span>Fully constrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] NCLS: </span>Non-negative constrained Least Square</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] ISRA: </span>Image Space Reconstruction Algorithm</p><ul></ul></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Courier New, courier'; font-weight:600;"; >[group] MDMDNMF: </span>Minimum Dispersion Constrained Non Negative Matrix Factorization</p><ul></ul></li></ul></li><br /></ul><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Limitations</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">None</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Authors</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">OTB-Team</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">See also</span></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">VertexComponentAnalysis</p><p style=" margin-top:14px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-size:large; font-weight:600;"><span style=" font-size:large;">Example of use</span></p><ul><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><li>Parameters to set value:</li></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><ul><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Input Image Filename: hsi_cube.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Output Image: HyperspectralUnmixing.tif double</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Input endmembers: endmembers.tif</p></li><li><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Unmixing algorithm: ucls</p></li></ul></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><li>Command line to execute:</li></p><p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-family:'Courier New, courier';">otbcli_HyperspectralUnmixing -in hsi_cube.tif -out HyperspectralUnmixing.tif double -ie endmembers.tif -ua ucls</p></ul></body></html>
@@ -28,7 +28,7 @@ <h5 class="subsubsectionHead"><a


regions. The labeled output can be passed to the ColorMapping application to render regions with
contrasted colours. Please note that this mode loads the whole input image into memory, and as such can
contrasted colors. Please note that this mode loads the whole input image into memory, and as such can
not handle large images. <br
class="newline" /><br
class="newline" />To segment large data, one can use the vector mode. In this case, the output of the application is a
@@ -28,7 +28,7 @@ <h5 class="subsubsectionHead"><a


regions. The labeled output can be passed to the ColorMapping application to render regions with
contrasted colours. Please note that this mode loads the whole input image into memory, and as such can
contrasted colors. Please note that this mode loads the whole input image into memory, and as such can
not handle large images. <br
class="newline" /><br
class="newline" />To segment large data, one can use the vector mode. In this case, the output of the application is a

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