7.7 Analysis
About1. Introduction2. Overview3. GUI4. Image Signatures5. Unsupervised Filters6. Results & Analysis7. BioFilters8. NeuralFilters9. Duplicated Documents10. Face Recognition11. Auto Part Recognition12. Dynamic Library13. NeuralNet Filter14. Segment Variation15. TV Advertisements16. Counting & Tracking17. Image PreProcessing18. Image Processing19. Batch Job20. Parameters21. Input Option22. Application Developers23. Reference Manual24. Support Services25. Readme.txt

7.1 Overview 
7.2 Training 
7.3 Parameters 
7.4 Label - Training 
7.5 N:N Matching 
7.6 1:N Matching 
7.7 Analysis 
7.8 Batch Duplication 
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7.7   Analysis

We went through the analysis process in the last chapter.

Possible Matches

    Let the Total Images in the input file be N, the Possible Matches will be N*N. In our example, N * N = 304 * 304 = 92,416.

Attrasoft Matches

    The number of retrieved matches is listed in the last line of b1.txt. Go to the end of  b1.txt, you will see something like this:

    Total Number of Matches = 8320

Actual Match

    This number depends on your problem. It should be the first number in b1_matchlist.txt. In our example, it is 608. 

Attrasoft Found Duplicates

    To check the results, we must prepare the b1_matchlist.txt file now. This file is already prepared for you and we will simply open it and save it to b1_matchlist.txt (overwrite the existing file). The steps are:

    •    Open Windows “c:\program files\Attrasoft 7.0\data\b1_ matchlist_ex_label.txt”.
      • Save it to  "b1_matchlist.txt (over write the exisitng file). Now this file is prepared.

    •   Click "BioFilter\N:M Analysis\Check (b1_matchlist.txt) to check results of the BioFiler. .

The result is:

    Total Matches = 608

All of the pairs are identified. Now that you have all of the numbers, you can make an analysis.

Positive Identification Rate

    In this example, the Positive Identification Rate is 100%,  i.e., 608/608 = 100%.

Elimination Rate

    Elimination Rate = 91 % = (1 – 8320/92,416).

Hit Ratio

    The Hit Ratio = 608/8320 = 8.2 %.

Composite Index

    The composite index is = 100% * 91% * 8.2% = 7.5%.

The composite index is low, largely because it retrieved 8320 images. This can be improved in many ways, such as:

  •    Setting a Threshold higher than 0;
  •    Setting other parameters;
  •    Choose a more accurate Signature Filter;
  •    Choose a Neural Filter.

We will discuss these topics later.

 

[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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