17.6 1:N Implementation
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

17.1  Key Segment 
17.2  Menu 
17.3 API 
17.4 Training  
17.5 1:N Design 
17.6 1:N Implementation 
17.7 Results 
17.8 Another Test 
[Home][17 NeuralNet Filter][17.6 1:N Implementation]

 

17.6   1:N Matching Implementation

Double click menu item “NeuralNet/Matching/1:N (Key vs Source)” and enter:

        private void menuItem116_Click(object sender, System.EventArgs e)

                {

                this.mainMenuToAPI.neuralNet_Matching_1N

                    ( textBox1.Text  , gui.imageAbsoultePath, dataDir + "c1.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 neuralNet_Matching_1N

                ( string key, string [] imageAbsoultePath, string c1_txt)

                {

                bool b = false;

         

                if ( imageAbsoultePath == null )

                {

                f.richTextBox1.Text =

        "Search Image Source Fail!\nPlease specify search source!\n" ;

                return false;

        }

         

                try

                {

                script.results_1N =

        script.neuralNetFilter.findMatch1N ( imageAbsoultePath ) ;

                }

                catch (Exception e)

                {

                    appendText ( "NeuralFilter 1:N Matching fails:\n"

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

                    return false;

                }

         

                if ( script.results_1N == null )

                {

                    appendText ( "NeuralNet 1:N Matching fails!\n" );

                    return false;

                }

        return true;

                }

The following code simply makes sure search source exists:

        if ( imageAbsoultePath == null )

                {

                f.richTextBox1.Text =

        "Search Image Source Fail!\nPlease specify search source!\n" ;

                return false;

        }

The next section of code makes a 1:N Match:

        try

                {

                script.results_1N =

        script.neuralNetFilter.findMatch1N ( imageAbsoultePath ) ;

                }

                catch (Exception e)

                {

                    appendText ( "NeuralFilter 1:N Matching fails:\n"

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

                    return false;

                }

Remember, the neural net is already trained with the key image at this point.

 

[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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