Digital images can be analysed, interrogated, or sorted through the use of “image processing” algorithms to reveal patterns or features in the image, highlight characteristics not visible to the human eye, or sort through large amounts of image data faster than would be possible by a human operator. There is a niche interest with a long history in using computational technologies to facilitate the analysis and understanding of cultural and heritage objects through manipulation of their digital image surrogates. This chapter aims to provide an overview of image processing techniques and how they have been applied in the arts, humanities and heritage sectors. Most application of image processing within the humanities is for research purposes, and the approaches chosen are generally bespoke, requiring specific application of techniques to suit the individual images and research question. Additionally, most research carried out in this area is in collaboration with computer or engineering scientists who can best advise on technological approach and application. Two case studies are provided giving details of specific projects which are adopting and creating specific image processing methodologies to aid in research in the humanities: these are both the product of interdisciplinary teams.
|Title of host publication||Digital Humanities in Practice|
|Editors||N M Terras, J Nyhan, C Warwich|
|Publication status||Published - 2012|