11.3   Grouping Parameters Together

The class that groups all parameters together is called TransAppletParameters. The class interface is:

public class TransAppletParameters  

        : TransAppletParametersData

    {

    public bool setPreProcessingFilterData

    ( Attrasoft.TransApplet70.ImagePreProcessing70.ImagePreProcessing70 ipre70);

    public bool getPreProcessingFilterData

    ( Attrasoft.TransApplet70.ImagePreProcessing70.ImagePreProcessing70 ipre70);

 

    public bool setImageProcessingFilterData

     ( Attrasoft.TransApplet70.ImageProcessing70.ImageProcessing70 ip70);

    public bool getImageProcessingFilterData

     ( Attrasoft.TransApplet70.ImageProcessing70.ImageProcessing70 ip70);

 

    public bool setReductionFilterData

     ( Attrasoft.TransApplet70.ReductionFilter70 .ReductionFilter70 rd70);

    public bool getReductionFilterData

     ( Attrasoft.TransApplet70.ReductionFilter70 .ReductionFilter70 rd70);

        

    public bool setSignatureFilterData

     ( Attrasoft.TransApplet70.ImageSignatureFilter70.ImageSignatureFilter sig70);

    public bool getSignatureFilterData

     ( Attrasoft.TransApplet70.ImageSignatureFilter70.ImageSignatureFilter sig70);

 

    public bool setUnsupervisedFilterData

     ( Attrasoft.TransApplet70.UnsupervisedFilter70 .UnsupervisedFilter  usf70);

    public bool getUnsupervisedFilterData

     ( Attrasoft.TransApplet70.UnsupervisedFilter70 .UnsupervisedFilter  usf70);    

        

    public bool setBioFilterData

     ( Attrasoft.TransApplet70.BioFilter70.BioFilter  bf70);

public bool getBioFilterData

     ( Attrasoft.TransApplet70.BioFilter70 .BioFilter   bf70);

    

    public bool setNeuralFilterData

        ( Attrasoft.TransApplet70.NeuralFilter70.NeuralFilter nf70);

    public bool getNeuralFilterData

        ( Attrasoft.TransApplet70.NeuralFilter70 .NeuralFilter  nf70);

    

    public bool setNeuralNetData

        ( Attrasoft.TransApplet70.NeuralNet70 .NeuralNet70   nn70);

    public bool getNeuralNetData

        ( Attrasoft.TransApplet70.NeuralNet70 .NeuralNet70   nn70);

    }

Before we explain the functions, let us first see the base class, which contains all of the parameters:

public class TransAppletParametersData

    {

    //[ImageFinder 7.0]

    public int executionCode =0;

 

    //[Input]

    public string keyImage_absolutePath="None";

    public string keyImage_segmentX="0";

    public string keyImage_segmentY="0";

    public string keyImage_segmentXlength="0";

    public string keyImage_segmentYLength="0";

    public string searchSource_Name="None";

    public string searchSource_Type = "0";

    public string searchSource_sqlStatement ="NA";

 

    //[Image PreProcessing Filters]

    public int imagePreProcessing_BorderCut =0;

    public int imagePreProcessing_MaskX =0;

    public int imagePreProcessing_MaskY =0;

    public int imagePreProcessing_MaskW =0;

    public int imagePreProcessing_MaskH = 0;

 

    public int imagePreProcessing_MaskType = 0;

    public int imagePreProcessing_StickShift = 0;

    public int imagePreProcessing_SkipEmptyBorderType  =0;

    public int imagePreProcessing_SkipPercent =0;

    public int imagePreProcessing_SkipEdgeFilter = 0;

 

    public int imagePreProcessing_SkipThresholdFilter = 0;

    

    //[Image Processing Filters]

    public int imageProcessing_edgeFilter=2;

    public int imageProcessing_thresholdFilter=1;

    public int imageProcessing_cleanUpFilter=2;

    public int imageProcessing_doubleProcessing=0;

 

    public int imageProcessing_R1=0;

    public int imageProcessing_R2=128;

    public int imageProcessing_R3=2;

    public int imageProcessing_G1=0;

    public int imageProcessing_G2=128;

    public int imageProcessing_G3=2;

    public int imageProcessing_B1=0;

    public int imageProcessing_B2=128;

    public int imageProcessing_B3=2;

 

    //[Reduction Filter]

    public int reduction_Filter=0;

    public int reduction_SegmentCut=0;

    public int reduction_SizeCut=0;

    public int reduction_BorderCut=0;

    public int reduction_LookAtX=0;

    public int reduction_LookAtY=0;

    public int reduction_LookAtXLength=0;

    public int reduction_LookAtYLength=0;

    

    //[SignatureFilter]

    public int signatureFilter=0;

    

    //[UnsupervisedFilter]

    public int UnsupervisedFilterFilter=0;

    public int UnsupervisedFilter_Percent=20;

    public int UnsupervisedFilter_Mode=0;

    public int UnsupervisedFilter_CutOff=0;

    public int UnsupervisedFilter_OutputFileType=0;

 

    public int UnsupervisedFilter_ShowFile=1;

    public int UnsupervisedFilter_Blurring=2;

    public int UnsupervisedFilter_Sensitivity=4;

    public int UnsupervisedFilter_UseRelativeScore=0;

    public int UnsupervisedFilter_ShowScore = 1 ;

 

    public int UnsupervisedFilter_AutoSegment=0;

    

    //[BioFilter]

    public int bioFilter=0;

    public int bioFilter_Percent=20;

    public int bioFilter_Mode=0;

    public int bioFilter_CutOff=0;

    public int bioFilter_OutputFileType=0;

 

    public int bioFilter_ShowFile=1;

    public int bioFilter_Blurring=2;

    public int bioFilter_Sensitivity=4;

    public int bioFilter_UseRelativeScore=0;

    public int bioFilter_ShowScore = 1 ;

 

    public int bioFilter_AutoSegment=0;

    

    //[NeuralFilter]

    public int neuralFilter=2;

    public int neuralFilter_Percent=20;

    public int neuralFilter_Mode=0;

    public int neuralFilter_Size=2;

    public int neuralFilter_CutOff=0;

 

    public int neuralFilter_OutputFileType=0;

    public int neuralFilter_ShowFile=1;

    public int neuralFilter_Blurring=2;

    public int neuralFilter_Sensitivity=4;

    public int neuralFilter_UseRelativeScore=0;

 

    public int neuralFilter_ShowScore = 1 ;

    public int neuralFilter_AutoSegment=0;

        

    //[Neural Net]

    public int neuralNetFilter=0;

    public int neuralNetFilter_symmetry=3;

    public int neuralNetFilter_rotationType=0;

    public int neuralNetFilter_translationType=0;

    public int neuralNetFilter_scalingType=0;

 

    public int neuralNetFilter_sensitivity=50;

    public int neuralNetFilter_blurring=10;

    public int neuralNetFilter_internalWeightCut=100;

    public int neuralNetFilter_externalWeightCut=0;

    public int neuralNetFilter_segmentSize=0;

 

    public int neuralNetFilter_imageType=1;

    public int neuralNetFilter_fileDisplayType=0;

    public int neuralNetFilter_autoSegment=0;

    public int neuralNetFilter_neuralNetMode=0;

    }

The base class holds all parameters for the TransApplet. The main class, TransAppletParameters, has 8 pairs of functions like this:

public bool setPreProcessingFilterData

    (Attrasoft.TransApplet70.ImagePreProcessing70.ImagePreProcessing70 ipre70);

 

    public bool getPreProcessingFilterData

    (Attrasoft.TransApplet70.ImagePreProcessing70.ImagePreProcessing70 ipre70);

The first function, setPreProcessingFilterData, passes the parameters in the TransAppletParameters object to a filter.

The second function, getPreProcessingFilterData, gets all of the parameters in a filter and stores them into the current TransAppletParameters object.

In this way, we get and set all of the parameters of a filter together. We also treat all of the filters exactly the same way.

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