Abstract
When we look at an item of artwork, we are invited to consider on individual description or observation at a time. Through our research we have found a way to combine two or more descriptions and observations within a single artefact. Poems or just plain text can be seen as art works. In this paper we explain how we can ‘read’ a set of ‘instruction’ (e.g. poems or prose) which transform themselves into images. Once created, these unique constructions, which richly illustrate and reflect the influence their language whether random, symmetrical or recurring. In producing such a work of art we might hypothesise that once an item of literature is written it contains within it it’s own pattern of imaging. It would be interesting to know what pattern and images are produced when analysing word structures that are 100’s of years old. Analysing and transforming these words into graphical representation in this way may reveal elements in the work of art that has not hitherto to been seen by man.
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Salman, A., Salman, R., Love, E. (2003). Generation of Symmetrical Patterns Based on Text and Colour. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_62
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DOI: https://doi.org/10.1007/3-540-44842-X_62
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