16.6 M:N Matching
About1 Introduction2 Image Recognition3 TransApplet4 API5 Interface6 Input7 Image Display8 Preprocessing9 Processing10 Normalization11 Parameter Class12 Image Signatures13 Unsupervised Filters14 BioFilters15 NeuralFilters16 Dynamic Library17 NeuralNet Filter18 Parameters19 Input Options20 Database Input21 Video Input22  Live Video Input23  Counting & Tracking24  Counting 25  Batch Job26 ImageFinder for DOS27 ImageHunt 28 Support Packages

16.1  Menu 
16.2  API 
16.3 Creating Libary 
16.4 Training Design 
16.5 Load 
16.6 M:N Matching 
16.7 1:N Matching 
16.8 Updating Design 
16.9 Updating Implementation 
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16.6   Library M:N Matching

In an N:M Matching, the N-images are in a1.txt and M-images are in lib1.txt. To make a M:N Matching,  

  •    Click menu item �Library/Matching/N:M (a1.txt vs. lib1.txt)� menu item to complete a N:M Match.

Double click menu item �Library/Matching/N:M (a1.txt vs. lib1.txt)� and enter:

            private void menuItem100_Click(object sender, System.EventArgs e)

                {

                bool b = this.mainMenuToAPI.library_Matching_N_M

                    ( dataDir + "a1.txt",  dataDir + "b1.txt" );

                }

Here, mainMenuToAPI is an object, which will implement all functions. As we discussed earlier, the main form simply links menu items to functions in the mainMenuToAPI object. The implementation is:

        public bool library_Matching_N_M    ( string a1_txt,    string b1_txt)

                {

                if ( script.imageLibrary == null )

                {

                    appendText ("Dynamic Library not available!\n");

                    return false;

                }

         

                bool b = script.neuralFilter .setLibrary ( script.imageLibrary );

                if (!b)

                {

                    appendText ("Dynamic Library Assignment Fails!\n");

                    return false;

                }

                try

                {

         

                    script.neuralFilter.findMatchNN ( a1_txt,  b1_txt);

                }

                catch (Exception e)

                {

                    appendText (  e.ToString () + "\n");

                    return false;

                }

                return true;

                }

In this statement, the script object contains all of the objects required for the ImageFinder project. In particular, �script.imageLibrary� is the dynamic library object.

The following statement assigns the dynamic library to the NeuralFilter object, �script.NeuralFilter�:

        bool b = script.neuralFilter .setLibrary ( script.imageLibrary );

                if (!b)

                {

                    appendText ("Dynamic Library Assignment Fails!\n");

                    return false;

                }

Once the NeuralFilter object obtains this library, it will match images against this master library.

 

[Home][About][1 Introduction][2 Image Recognition][3 TransApplet][4 API][5 Interface][6 Input][7 Image Display][8 Preprocessing][9 Processing][10 Normalization][11 Parameter Class][12 Image Signatures][13 Unsupervised Filters][14 BioFilters][15 NeuralFilters][16 Dynamic Library][17 NeuralNet Filter][18 Parameters][19 Input Options][20 Database Input][21 Video Input][22 Live Video Input][23 Counting & Tracking][24 Counting ][25 Batch Job][26 ImageFinder for DOS][27 ImageHunt ][28 Support Packages]

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