18. Image Processing
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

18.1 Good & Bad 
18.2 Processing Filters 
18.3 First 2 Settings 
[Home][18. Image Processing]

 

18.   Image Processing

Attrasoft ImageFinder learns an image in a way similar to human eyes:

  •    Ignore the background;
  •    Focus on an object in the image.

The Image Preprocessing in the last chapter and the Image Processing in this chapter prepare the image for the ImageFinder.

The Image Processing process is not unique; there are many options available. Some are better than others. Image Processing can make it or break it. For many problems like fingerprints, palm prints, …,  special image processing filters will be required.

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]

Copyright (c) 1998 - 2006 Attrasoft, Inc. All rights reserved.

gina@attrasoft.com