The Sapheos Project: Transparency in Multi-image Collation, Analysis, and Representation

Abstract

Our proposal for a Level II Start-Up grant for the Sapheos project seeks to develop innovative software to analyze, represent, and collate images in the humanities. While there are an array of text based digital projects underway that offer increasingly powerful tools for marking up, analyzing, and visualizing textual data in the humanities, image-based analysis has not received similar attention. From the project's inception, our aim has been to develop extensible open-source software that researchers across the humanities can use to link image to text in a discrete, granular fashion. Working with the NEH-funded Spenser Project, a multi-institutional Scholarly Editions project, we're developing two significant image-based software tools: (a) digital collation software that builds on and extends the work of optical methods, using transparency to "stack" and collate multiple copies, and (b) software for automatically sectioning and identifying (x,y) coordinate pairs for images.