15.6 N:N Design
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

15.1 NeuralFilter Menu 
15.2 NeuralFilter API 
15.3 Parameters 
15.4 Training Design 
15.5 Implementation 
15.6 N:N Design 
15.7 N:N Implementation 
15.8 1:N Design 
15.9 1:N Implementation 
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15.6   N:N  Matching Design

N: N Matching compares each image in a1.txt with every image in the a1.txt:

  •    Click menu item �NeuralFilter/Matching/N:N (a1.txt vs. a1.txt)� button to complete a N:N Match.

The results will go to a file, b1.txt, which will be opened right after the click. The file will look like this:

        C:\...\ex_label\L01008gi-020501.jpg

        C:\...\ex_label\L01008gi-020501.jpg

        242307

        C:\...\ex_label\L01008gi_r90.jpg

        153038

         

        C:\...\ex_label\L01008gi_r90.jpg

        C:\...\ex_label\L01008gi-020501.jpg

        153038

        C:\...\ex_label\L01008gi_r90.jpg

        242307

Again, line 1 in each block is the input and the rest of the lines are output. Go all the way to the end of the file; the last line indicates the number of matches in the N:N Matching.

 

[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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