All Slicer modules succesfully compiled into BBTK boxes :P

[creaCLI.git] / bbtk_Slicer_PKG / src / bbSlicerOtsuThresholdSegmentation.h

diff --git a/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h b/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h
index f05b8f9e258f733ef762be4706fb47e0bfcbaf1f..f96db1bd8f28d1a302dff4dc8d8bdce4a8b63147 100644 (file)
--- a/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h
+++ b/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h
@@ -46,7 +46,7 @@ BBTK_DECLARE_INPUT ( outputVolume , std::string );
     BBTK_BEGIN_DESCRIBE_BLACK_BOX ( OtsuThresholdSegmentation , bbtk::AtomicBlackBox ) ;
     BBTK_NAME ( "OtsuThresholdSegmentation" ) ;
     BBTK_AUTHOR ( "Bill Lorensen" ) ;
-    BBTK_DESCRIPTION ( "This filter creates a labeled image from a grayscale image. First, it calculates an optimal threshold that separates the image into foreground and background. This threshold separates those two classes so that their intra-class variance is minimal (see http://en.wikipedia.org/wiki/Otsu%27s_method). Then the filter runs a connected component algorithm to generate unique labels for each connected region of the foreground. Finally, the resulting image is relabeled to provide consecutive numbering." ) ;
+    BBTK_DESCRIPTION ( "This filter creates a labeled image from a grayscale image. First, it calculates an optimal threshold that separates the image into foreground and background. This threshold separates those two classes so that their intra-class variance is minimal see http://en.wikipedia.org/wiki/Otsu%27s_method. Then the filter runs a connected component algorithm to generate unique labels for each connected region of the foreground. Finally, the resulting image is relabeled to provide consecutive numbering." ) ;
     BBTK_CATEGORY ( "Legacy.Segmentation" ) ;
 
     // GENERATED DESCRPTION