10.2 Parameters
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

10.1 Data 
10.2 Parameters 
10.3 Signature 
10.4 Training 
10.5 Matching 
10.6 Analysis 

 

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10.2   Parameters

The NeuralFilter Matching will be used to match Face images; there are five steps:

  •    Parameters
  •    Signatures
  •    Training
  •    Matching
  •    Analysis

The ImageFinder has many parameters. Changing these parameters will change the output of the computations. The Parameters are set by clicking the Parameter button, which will open the Parameter Window in Figure 7.2. You will adjust the ImageFinder parameters here.

We will set several parameters in this chapter:

  •    Signature Filter =  “Signature Filter 15” (See Figure 8.1)
  •    Blurring = 0 (See Figure 10.1, 10.2)
  •    Sensitivity = 0 (See Figure 10.1, 10.2)

 

Figure 10.1  Parameters for the Neural Filter.

 

Figure 10.2  Neural Filter parameters: Blurring, & Sensitivity.

Setting:

  •   The Signature Filter will be set to “Signature Filter 15” (See Figure 10.1).
  •    Set both Blurring and Sensitivity to 0 in Figure 10.2.

 

[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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