6. Results & 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

6.1 Wheel Rim 
6.2 N:N Matching 
6.3 Three Output Files 
6.4 Checking Results 
6.5 Analysis 
6.6 False Rejection 
6.7 Threshold 
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6.   Results & Analysis

In this chapter, we will continue the Unsupervised Filter; however, the discussion in this chapter will also apply to the next two filters, BioFilter and Neural Filter.

In this chapter, we will first introduce a new example, Wheel Rim Identification. Then we will discuss three different ways to see the results and several commands that allow you to do some simple analysis.

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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