[Home][14. Segment Variation]
14. Segment Variation
In this chapter, we will identify 4 trademarks and 2 stamps. We will try to demonstrate the symmetry. Symmetry means objects in images have been changed, such as:
-
moved to a different place (Translation Symmetry),
-
enlarged (Scaling Symmetry), or
-
rotated (Rotation Symmetry).
The first two examples demonstrate Rotation Symmetry, the next two examples demonstrate Scaling Symmetry, and the last example demonstrates Translation Symmetry.
In the current version, the segment location (x, y, w, h) is implemented for Translation Symmetry and Rotation Symmetry, but is not implemented for Scaling Symmetry and Mixed Symmetry.
Chapter contents include:
14.1 Neural Net Parameters
14.2 United Way - Rotation Symmetry
14.3 Tabasco - Rotation Symmetry
14.4 Mr. Potato - Scaling Symmetry
14.5 Monopoly - Scaling Symmetry
14.6 Stamp – Translation Symmetry
14.6.1 Example 1
14.6.2 Example 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]
Copyright (c) 1998 - 2006 Attrasoft, Inc. All rights reserved.