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A New Dusts Sensor for Cultural Heritage Applications Based on Image Processing

Department of Information Engineering, Electronics and Telecommunications (DIET), University of Rome "La Sapienza", Via Eudossiana 18, 00184 Rome, Italy
Science Department, University of "Roma Tre", via della Vasca Navale 84, 00146 Rome, Italy
Vatican Museums, viale Vaticano, 00165, Roma, Italy
ProArt s.r.l., via Boccioni n.5, 00100, Rome, Italy
Author to whom correspondence should be addressed.
Sensors 2014, 14(6), 9813-9832;
Received: 17 February 2014 / Revised: 20 May 2014 / Accepted: 29 May 2014 / Published: 4 June 2014
(This article belongs to the Special Issue Sensors for Cultural Heritage Diagnostics)
PDF [848 KB, uploaded 21 June 2014]


In this paper, we propose a new sensor for the detection and analysis of dusts (seen as powders and fibers) in indoor environments, especially designed for applications in the field of Cultural Heritage or in other contexts where the presence of dust requires special care (surgery, clean rooms, etc.). The presented system relies on image processing techniques (enhancement, noise reduction, segmentation, metrics analysis) and it allows obtaining both qualitative and quantitative information on the accumulation of dust. This information aims to identify the geometric and topological features of the elements of the deposit. The curators can use this information in order to design suitable prevention and maintenance actions for objects and environments. The sensor consists of simple and relatively cheap tools, based on a high-resolution image acquisition system, a preprocessing software to improve the captured image and an analysis algorithm for the feature extraction and the classification of the elements of the dust deposit. We carried out some tests in order to validate the system operation. These tests were performed within the Sistine Chapel in the Vatican Museums, showing the good performance of the proposed sensor in terms of execution time and classification accuracy. View Full-Text
Keywords: dust detection; image processing; cultural heritage; artworks preservation dust detection; image processing; cultural heritage; artworks preservation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Proietti, A.; Leccese, F.; Caciotta, M.; Morresi, F.; Santamaria, U.; Malomo, C. A New Dusts Sensor for Cultural Heritage Applications Based on Image Processing. Sensors 2014, 14, 9813-9832.

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