8. NeuralFilters
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

8.1 Overview 
8.2 Parameters 
8.3 Label - Training 
8.4 N:N Matching 
8.5 1:N Matching 
8.6 N:N Analysis 
8.7 Batch Duplication 
8.8  Wheel Recognition 
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8.   NeuralFilters

NeuralFilter matches two whole images, which is similar to the BioFilter. NeuralFilter is better than both Unsupervised Filter and BioFilter, but it requires a large amount of training data. Training data teaches the NeuralFilter who should match with whom. In comparison to early filters:

  •    The advantage of the NeuralFilter is that it is more accurate.
  •    The disadvantage of the NeuralFilter is that it requires more training data than BioFilter.

Chapter contents include:

 

[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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