#ifndef __bbSlicerMedianFilter_h_INCLUDED__
#define __bbSlicerMedianFilter_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 MedianFilter
    :
    public bbtk::AtomicBlackBox {
        BBTK_BLACK_BOX_INTERFACE ( MedianFilter , bbtk::AtomicBlackBox ) ;

        // GENERATED ARGS        
        
BBTK_DECLARE_INPUT ( neighborhood , std::vector<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 ( MedianFilter , bbtk::AtomicBlackBox ) ;
    BBTK_NAME ( "MedianFilter" ) ;
    BBTK_AUTHOR ( "Bill Lorensen" ) ;
    BBTK_DESCRIPTION ( "The MedianImageFilter is commonly used as a robust approach for noise reduction. This filter is particularly efficient against 'salt-and-pepper' noise. In other words, it is robust to the presence of gray-level outliers. MedianImageFilter computes the value of each output pixel as the statistical median of the neighborhood of values around the corresponding input pixel." ) ;
    BBTK_CATEGORY ( "Filtering.Denoising" ) ;

    // GENERATED DESCRPTION
    
BBTK_INPUT(MedianFilter , neighborhood , "neighborhood" , std::vector<int>, "");
BBTK_INPUT(MedianFilter , inputVolume , "inputVolume" , std::string, "");
BBTK_INPUT(MedianFilter , outputVolume , "outputVolume" , std::string, "");

    // EO GENERATED DESCRIPTION

    BBTK_END_DESCRIBE_BLACK_BOX ( MedianFilter ) ;
}

#endif // __bbSlicerMedianFilter_h_INCLUDED__