14.3 Tabasco
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14.1 Parameters 
14.2 United Way 
14.3 Tabasco 
14.4 Mr. Potato 
14.5 Monopoly 
14.6 Stamp 

 

 

[Home][14. Segment Variation][14.3 Tabasco]

 

14.3   Tabasco - Rotation Symmetry

There are two ways to run this example:

·   Batch

·   Manual

The Batch Run takes only two clicks:

  • Click the “Examples/Neural Net/Tabasco - R” ;
  • Click “Batch/Run”.

The Manual Run requires a few more clicks:

Input:

    Training: .\ex_trademark\image026.jpg

    Search: .\ex_trademark\

Parameters      

    NeuralNet Filter Parameter:

      Symmetry  = Rotation                                                                                                                                       

      Blurring = 25

      Sensitivity = 80

      Internal Cut = 50

      ExternalCut = 60000

Operation

  •    Click the “Key” button and select “.\ex_trademark\image026.jpg”;
  •    Click the “Source” button and select “.\ex_trademark\”;
  •    Set the Parameters as specified above;
  •    Click the “NeuralNet/Train” button to train the filter;
  •    Click the “NeuralNet/Matching/1:N (Key vs Source)” button to make a search.

Results

    ID               Name                        Path                                Score         X        Y        W          H            R

    I026_r10    I026_r10.jpg            C:\...\ex_trademark\      77632        70      20      225       375         0

    I026_r20    I026_r20.jpg            C:\...\ex_trademark\      74496         30       0      225       375     350

    I026_r30    I026_r30.jpg            C:\...\ex_trademark\      70592         32       0      246        397      340

    I026_r40    I026_r40.jpg            C:\...\ex_trademark\      70400           0        0      225        375     140

    I026_r50    I026_r50.jpg             C:\...\ex_trademark\      72896           0        0     230        401     310

    I026_r60    I026_r60.jpg             C:\...\ex_trademark\      68288           0       33    225        416     120

    I026_r70    I026_r70.jpg             C:\...\ex_trademark\      69824           0       30    225        375      290

    I026_r80    I026_r80.jpg             C:\...\ex_trademark\       69760           0        0     225       375      290

    I026_r90    I026_r90.jpg              C:\...\ex_trademark\     106432         30    90     225       375      270

    IMAGE026    IMAGE026.JPG    C:\...\ex_trademark\    128000000   90     50     225       375         0

Summary

    # Images        = 126

    # To be retrieved   = 10

    # Retrieved correctly   = 10

    # Missed        = 0

    Hit Ratio       = 100%

[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]

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