The following boxxes compilated with no errors

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

diff --git a/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h b/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h
new file mode 100644 (file)
index 0000000..f05b8f9
--- /dev/null
+++ b/bbtk_Slicer_PKG/src/bbSlicerOtsuThresholdSegmentation.h
@@ -0,0 +1,68 @@
+#ifndef __bbSlicerOtsuThresholdSegmentation_h_INCLUDED__
+#define __bbSlicerOtsuThresholdSegmentation_h_INCLUDED__
+
+#include "bbSlicer_EXPORT.h"
+#include "bbtkAtomicBlackBox.h"
+
+#include <vector>
+#include <cstdlib>
+#include <dlfcn.h>
+#include <sstream>
+#include <fstream>
+#include <iostream>
+
+#include <ModuleDescriptionUtilities.h>
+#include <ModuleDescriptionParser.h>
+#include <ModuleParameterGroup.h>
+#include <ModuleDescription.h>
+#include <ModuleParameter.h>
+
+#include "CreationTool.h"
+
+namespace bbSlicer {
+
+    class bbSlicer_EXPORT OtsuThresholdSegmentation
+    :
+    public bbtk::AtomicBlackBox {
+        BBTK_BLACK_BOX_INTERFACE ( OtsuThresholdSegmentation , bbtk::AtomicBlackBox ) ;
+
+        // GENERATED ARGS        
+        
+BBTK_DECLARE_INPUT ( brightObjects , bool );
+BBTK_DECLARE_INPUT ( numberOfBins , int );
+BBTK_DECLARE_INPUT ( faceConnected , bool );
+BBTK_DECLARE_INPUT ( minimumObjectSize , int );
+BBTK_DECLARE_INPUT ( inputVolume , std::string );
+BBTK_DECLARE_INPUT ( outputVolume , std::string );
+
+        // EO GENERATED ARGS
+
+        BBTK_PROCESS ( Process ) ;
+        void Process ( ) ;
+    private:
+        void execute ( std::string lib , int _argc , char * _argv[] ) ;
+    } ;
+
+    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_CATEGORY ( "Legacy.Segmentation" ) ;
+
+    // GENERATED DESCRPTION
+    
+BBTK_INPUT(OtsuThresholdSegmentation , brightObjects , "brightObjects" , bool, "");
+BBTK_INPUT(OtsuThresholdSegmentation , numberOfBins , "numberOfBins" , int, "");
+BBTK_INPUT(OtsuThresholdSegmentation , faceConnected , "faceConnected" , bool, "");
+BBTK_INPUT(OtsuThresholdSegmentation , minimumObjectSize , "minimumObjectSize" , int, "");
+BBTK_INPUT(OtsuThresholdSegmentation , inputVolume , "inputVolume" , std::string, "");
+BBTK_INPUT(OtsuThresholdSegmentation , outputVolume , "outputVolume" , std::string, "");
+
+    // EO GENERATED DESCRIPTION
+
+    BBTK_END_DESCRIBE_BLACK_BOX ( OtsuThresholdSegmentation ) ;
+}
+
+#endif // __bbSlicerOtsuThresholdSegmentation_h_INCLUDED__
+
+