Applications of Image Processing Software to Archival Material
Images of archival material are useful to both conservators for monitoring changes, and to researchers for detailed analysis and permanent access to collection items. Image processing allows historical documents and other collection items to be studied without the risk of damage to the primary source. The increase in digitisation projects is generating large volumes of image files that can be processed to enhance the understanding of our collections without physically handling fragile material.
ImageJ is a powerful public domain Java-based image processing package. The nature of open source software allows for the constant update and availability of new plugins and recordable macros designed for specific tasks. ImageJâ€™s built-in editor and a Java compiler allow for the development of custom acquisition, analysis and processing plugins. In April 2013 I presented a poster at the ICOM Graphics Documents Working Group Interim Meeting in Vienna, outlining the applications of image processing software to archival material . The full poster can be downloaded as a PDF here.
While several improvements have been made to the functionality of ImageJ since 2013, I hope this poster provides useful information to those less familiar with image processing techniques.
ImageJ was originally designed for the purpose of medical imaging by the National Institutes for Health by Wayne Rasband, but has since found applications in many fields. It can be run on any computer with a Java 5 or later virtual machine, as an online applet or as a downloadable application (Microsoft Windows, Mac OS, Mac OSX, Linux, Sharp Zaurus PDA). ImageJ offers features similar to commercially available image processing software packages such as brightness/contrast adjustment, frequency domain filtering, binarisation and particle analysis.