Structural elements extraction from images of historical monuments

Roberto Tomasoni; Alessandro Moriondo; Paolo Furini

doi:10.1117/12.157142

15 October 1993 Structural elements extraction from images of historical monuments

Roberto Tomasoni, Alessandro Moriondo, Paolo Furini

Proceedings Volume 1943, State-of-the-Art Mapping; (1993) https://doi.org/10.1117/12.157142
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Originally the research project was born to prepare a series of tools able to handle images, vectors, and tabular data of historical monuments. The project is based on the necessity of creating a fundamental knowledge of buildings that have a consistent historical and cultural value and are located in zone under seismic activity; its aim is to evaluate potential damages in a very short time by means of a structure analysis. An analysis of ancient damages in the same buildings is a source of good indicative information on old and, in some cases, unknown earthquake activity; this subject is treated by other groups inside the same big project. All this should be made by a methodology that acquires and converts all data concerning the buildings under evaluation, that is all data on the generic raster image are converted in vectors relating to their maximum significance, referring to ancillary historical data. The package being prepared is called Historical Monument Classifier (HMC) with a highlight goal to acquire, copy, enhance, rotate, rectify (perspective correction) images and draw vectors on them. The methodology that we explain with this paper points out the possibility of an orthogonal plot, even if concise, for almost flat or significant three-dimensional objects that are performed via a non-photogrammetric device.

Citation Download Citation

Roberto Tomasoni, Alessandro Moriondo, and Paolo Furini "Structural elements extraction from images of historical monuments", Proc. SPIE 1943, State-of-the-Art Mapping, (15 October 1993); https://doi.org/10.1117/12.157142

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