6.1 Wheel Rim
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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6.1   Wheel Rim Example

 

Figure 6.1 Newly Captured Image.

The problem is: assuming we have a newly captured image in Figure 6.1, let us match it against the existing master library and see if there is a match. There are 100 images in 25 quadruplets. The data is stored at “.\ex_wheel\” folder.

 

[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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