Visual enhancement of incised text

Molton, Nicholas; Pan, Xiao-Bo; Brady, Michael; Bowman, Alan K.; Crowther, Charles; Tomlin, R. S. O.

doi:10.1016/s0031-3203(02)00112-7

Cited by 23 publications

(10 citation statements)

References 4 publications

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“…More recently a new technique has been introduced where digital images of a physical object are taken using variable directional lighting. After which, a series of algorithms are applied to the image that analyse the shadows cast across the surface at a low elevation (Molton et al 2003). This enhances edge detection of the markings within the image making it easier to identify the strokes that constitute each letter on ancient manuscripts.…”

Section: Technologies For Reading Ancient Textsmentioning

confidence: 99%

“…This tilting of the tablet in relation to lighting may make letters, words and lines of text legible (Bowman and Tomlin 2005). However, with the introduction of digital images variable directional lighting can simulate this technique to some extent (Molton et al 2003). Additionally, image processing could also reduce the visibility of the woodgrain making it possible to distinguish the marks made on it more easily (Tarte 2009).…”

Section: Reading the Tolsum Tabletmentioning

confidence: 99%

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Transforming Scholarly Practice: Embedding Technological Interventions to Support the Collaborative Analysis of Ancient Texts

Flor

Jirotka²,

Luff

et al. 2010

Comput Supported Coop Work

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e-Research and Cyberinfrastructure programmes actively promote the development of new forms of scientific practice and collaboration through the implementation of tools and technologies that support distributed collaborative work across geographically dispersed research institutes and laboratories. Whilst originating in scientific domains, we have more recently seen a turn to the design of systems that support research practices in the social sciences and the arts and humanities. Attempts to embed large-scale infrastructures into research settings has brought to the fore the necessity of understanding the knowledge, skills and practices of researchers within a variety of disciplines that might use these technologies. In this paper, we consider an approach to gathering requirements through the introduction of various technical interventions for relatively short term periods so that we may come to an understanding their impact on routine work practices. Drawing upon an analysis of the detailed ways in which classicists work with digital images, we discuss the requirements for systems that support them as they collaborate in the interpretation of particular types of images. We discuss implications for the development of infrastructures to support research collaboration in this area and conclude with reflections upon the experiences gained from conducting naturalistic studies in parallel with design interventions.

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Section: Technologies For Reading Ancient Textsmentioning

confidence: 99%

Section: Reading the Tolsum Tabletmentioning

confidence: 99%

Transforming Scholarly Practice: Embedding Technological Interventions to Support the Collaborative Analysis of Ancient Texts

Flor

Jirotka²,

Luff

et al. 2010

Comput Supported Coop Work

View full text Add to dashboard Cite

show abstract

“…Novel imaging techniques have been developed at the Department of Engineering Science, University of Oxford, to analyse these texts Schenk, 2001;Molton et al, 2003;Brady et al, 2004;Pan et al, 2004). However, whilst a scrutiny of the document surface using image processing techniques provides new information, it does not provide a means of sorting through this information to provide the most likely interpretation of the data.…”

Section: Research and The Vindolanda Textsmentioning

confidence: 99%

Reading the Readers: Modelling Complex Humanities Processes to Build Cognitive Systems

Terras

2005

Literary and Linguistic Computing

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“…[6]. The system has been used for imaging a substantial collection of stilus tablets and a few numbers of lead tablets.…”

Section: Introductionmentioning

confidence: 99%

“…Other algorithms that have been used to combine the images taken with the lighting at different azimuth and elevation angles can be found in Refs. [5,6]. The combined image has compensated the occluded area and has improved signal to noise ratio.…”

Section: Introductionmentioning

confidence: 99%