Multispectral imaging-a method for acquiring image data over a series of wavelengths across the light spectrum-is becoming a valuable tool within the cultural
Multispectral imaging was employed to collect data on the degradation of an 18 th century parchment by a series of physical and chemical treatments. Each sample was photographed before and after treatment by a monochrome digital camera with 21 narrow-band filters, with the objective of assessing algorithms for recovery of text from the images. A template-matching technique was used to detect the circular holes in each sample and a four-point projective transform to register the 21 images. Colour accuracy was verified by comparison of reconstructed spectra with measurements by spectrophotometer.
This paper describes the methodology and presents preliminary results of a project using multispectral imaging to document the deterioration of parchment. A series of treatments has been applied to degrade samples from a deaccessioned manuscript using both physical and chemical agents. Each sample is photographed before and after the treatment by a multispectral imaging system to record the effect of the treatments on both the writing and the parchment. Here we present the initial imaging of the samples, and we show how some of the agents affect the writing and parchment.
In this article, we argue that it is possible to effectively expand interactions with a subset of a collection of text files by using an online interface based on rich-prospect browsing principles, coupled with task-specific visualization tools. In this context, we will present the revisions carried out to create the next iteration of the Texttiles browser, based on results from a user study in 2009. These changes have produced a much more flexible platform for showcasing significant items in text collections, based on user selections of display details, arrangement of items into groups, and annotation marks. In addition, we introduce BubbleLines, an interactive visualization that sits on the Texttiles 2.0 Application Programming Interface (API) and allows users to see search results across multiple documents simultaneously.
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