Experimental image mining using OpenCV

Attempting to build tools to mine interesting data from large collections of scanned images

Current

• bin/locate-thumbnail:
  • Reconstructing thumbnails using OpenCV: <http://chris.improbable.org/2013/06/30/reconstructing-thumbnails-using-opencv/>_
  • Upgrading Image Thumbnails… Or How to Fill a Large Display Without Your Content Team Quitting <http://blogs.loc.gov/digitalpreservation/2014/08/upgrading-image-thumbnails-or-how-to-fill-a-large-display-without-your-content-team-quitting/>_
• bin/extract-figures:
  • locate interesting non-text elements (images, figures, tables, etc.) on scanned book pages <http://chris.improbable.org/2013/08/31/extracting-images-from-scanned-pages/>_

Prerequisites

• Python 2.6+
• OpenCV 2.4+
• numpy

Using Mac Homebrew this should install cleanly::

brew install python numpy opencv

On Ubuntu 12.04 Precise the following is known to work - note the need for a PPA to get OpenCV 2.4+::

sudo add-apt-repository ppa:alexei.colin/opencv
sudo apt-get update
sudo apt-get install python-numpy python-opencv

Discussion

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