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  1. .. image features extraction documentation master file, created by
  2. sphinx-quickstart on Mon Aug 14 17:04:45 2017.
  3. You can adapt this file completely to your liking, but it should at least
  4. contain the root `toctree` directive.
  5. Image Features Extraction
  6. ============================
  7. This package allows the fast extraction and classification of features from a set of images. The resulting
  8. table can be used as training set for a machine learning classifier
  9. .. image:: _static/1.png
  10. :width: 600px
  11. :alt: alternate text
  12. The package was originally developed to extract measurements of single cell nuclei from microscopy images (see figure above).
  13. The package can be used to extract features from any set of images for a variety of applications.
  14. Below it is shown a map of Boston used for city density and demographic models.
  15. .. image:: _static/8.png
  16. :width: 600px
  17. :alt: alternate text
  18. The image below shows a possible workflow for image feature extraction: two sets of images
  19. with different classification labels are used to produce two data sets for training and testing a classifier
  20. .. image:: _static/2b.png
  21. :width: 600px
  22. :alt: alternate text
  23. The image features extraction package was developed using the document object model architecture shown below
  24. .. image:: _static/3b.png
  25. :width: 600px
  26. :alt: alternate text
  27. See classes/modules documentation for more details about the use of the package
  28. Contents:
  29. ============
  30. .. toctree::
  31. :maxdepth: 2
  32. tutorial.rst
  33. code.rst