7.1 Overview
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 
[Home][7. BioFilters][7.1 Overview]

 

7.1   BioFilter Overview

 

Figure 7.1 Training Menu.

The BioFilter Matching will have four steps:

  •    Signatures
  •    Training
  •    Matching
  •    Analysis

We discussed Signature Computation earlier in chapter 4. The BioFilter Matching is very similar to the Unsupervised Matching in chapter 5. The Analysis procedure for BioFilter is exactly the same as the Unsupervised Filter in chapter 6.

    Training uses the data collected in advance to teach the BioFilter how to match. Training requires two files, t1.txt and match.txt. T1.txt is the signature file, which contains many signatures. Each image is converted into a signature. Match.txt is a list of matching pairs. This file will teach the ImageFinder who will match with whom. You must prepare this file.

 

 

 

[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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