research-article

Automatic Analysis of UV-Induced Fluorescence Imagery of Historical Violins

Authors:

Piercarlo Dondi,

Claudia Invernizzi,

Tommaso Rovetta,

Marco Malagodi,

Maurizio LicchelliAuthors Info & Claims

Journal on Computing and Cultural Heritage (JOCCH), Volume 10, Issue 2

Article No.: 12, Pages 1 - 13

https://doi.org/10.1145/3051472

Published: 21 March 2017 Publication History

Abstract

In recent years, UV-induced fluorescence (UVIFL) photography has proven to be very effective when studying the surface of historical musical instruments, such as violins. This technique makes it possible to highlight superficial details not clearly perceptible with visible light (e.g., retouchings, superficial distribution of varnishes, or wear). The data retrieved are also an important guide for further noninvasive spectroscopic analyses used when the chemical composition of the surface needs to be investigated. However, UVIFL imagery interpretation of a historical violin is no trivial task. In fact, constant playing and the multiple restorations over the centuries have produced very complex surfaces. This work presents an automatic tool designed to facilitate this kind of analysis. Using a quantized histogram in HSV color space, the distribution of the main fluorescence colors on an instrument’s surface can be highlighted, recurrence of the same color in different areas of the same violin can be detected, or different violins can be compared. UVIFL images of seven Stradivarius violins kept in the Museo del Violino in Cremona, Italy, were used as a test set. The results achieved endorse the validity of the proposed approach.

References

[1]

Loïc Bertrand, Laurianne Robinet, Serge X. Cohen, Christophe Sandt, Anne-Solenn Le Hô, Balthazar Soulier, Agnès Lattuati-Derieux, and Jean-Philippe Echard. 2011. Identification of the finishing technique of an early eighteenth century musical instrument using FTIR spectromicroscopy. Analytical and Bioanalytical Chemistry 399, 9, 3025--3032.

[2]

Giovanna Bitossi, Rodorico Giorgi, Marcello Mauro, Barbara Salvadori, and Luigi Dei. 2005. Spectroscopic techniques in cultural heritage conservation: A survey. Applied Spectroscopy Reviews 40, 3, 187--228.

[3]

Letizia Bonizzoni, Claudio Canevari, Anna Galli, Marco Gargano, Nicola Ludwig, Marco Malagodi, and Tommaso Rovetta. 2014. A multidisciplinary materials characterization of a Joannes Marcus viol (16th century). Heritage Science 2, 1, 15.

[4]

Brigitte Brandmair and Peter Stefan Greiner. 2010. Stradivari Varnish: Scientific Analysis of His Finishing Technique on Selected Instruments. Serving Audio.

[5]

Francesco Caruso, Delia Francesca Chillura Martino, Steven Saverwyns, Marina Van Bos, Lucia Burgio, Cosimo Di Stefano, Gabriele Peschke, and Eugenio Caponetti. 2014. Micro-analytical identification of the components of varnishes from South Italian historical musical instruments by PLM, ESEM--EDX, microFTIR, GC--MS, and Py--GC--MS. Microchemical Journal 116, 31--40.

[6]

Andrea Casini, Franco Lotti, Marcello Picollo, Lorenzo Stefani, and Alfredo Aldrovandi. 2002. Fourier transform interferometric imaging spectrometry: A new tool for the study of reflectance and fluorescence of polychrome surfaces. In Proceedings of the 2002 Conservation Science Conference. 249--253.

[7]

Marina Clausi, Gino Mirocle Crisci, Mauro Francesco La Russa, Marco Malagodi, Annamaria Palermo, and Silvestro Antonio Ruffolo. 2011. Protective action against fungal growth of two consolidating products applied to wood. Journal of Cultural Heritage 12, 1, 28--33.

[8]

Daniela Comelli, Gianluca Valentini, Austin Nevin, Andrea Farina, Lucia Toniolo, and Rinaldo Cubeddu. 2008. A portable UV-fluorescence multispectral imaging system for the analysis of painted surfaces. Review of Scientific Instruments 79, 8, 086112.

[9]

Antonino Cosentino. 2014. Identification of pigments by multispectral imaging: A flowchart method. Heritage Science 2, 1, 8.

[10]

Antonino Cosentino. 2015. Practical notes on ultraviolet technical photography for art examination. Conservar Patrimnio 21, 53--62.

[11]

Céline Daher, Céline Paris, Anne-Solenn Le Hô, Ludovic Bellot-Gurlet, and Jean-Philippe Échard. 2010. A joint use of Raman and infrared spectroscopies for the identification of natural organic media used in ancient varnishes. Journal of Raman Spectroscopy 41, 11, 1494--1499.

[12]

Piercarlo Dondi, Claudia Invernizzi, Maurizio Licchelli, Luca Lombardi, Marco Malagodi, and Tommaso Rovetta. 2015a. Semi-automatic system for UV images analysis of historical musical instruments. In Proceedings of SPIE, Vol. 9527. 95270H.

[13]

Piercarlo Dondi, Luca Lombardi, Marco Malagodi, and Maurizio Licchelli. 2016a. Automatic identification of varnish wear on historical instruments: The case of Antonio Stradivari violins. Journal of Cultural Heritage 22, 968--973.

[14]

Piercarlo Dondi, Luca Lombardi, Marco Malagodi, Maurizio Licchelli, and Fausto Cacciatori. 2016b. Color-based automatic detection of worn out varnishes on Stradivari’s “Scotland University” violin back plate. Color Research and Application 41, 313--316.

[15]

Piercarlo Dondi, Luca Lombardi, Marco Malagodi, Maurizio Licchelli, Tommaso Rovetta, and Claudia Invernizzi. 2015b. An interactive tool for speed up the analysis of UV images of Stradivari violins. In New Trends in Image Analysis and Processing—ICIAP 2015 Workshops. Lecture Notes in Computer Science, Vol. 9281. Springer, 103--110.

[16]

Joan Dyer, Giovanni Verri, and John Cupitt. 2013. Multispectral Imaging in Reflectance and Photo-Induced Luminescence modes: A User Manual. British Museum.

[17]

Jean-Philippe Échard. 2004. In situ multi-element analyses by energy-dispersive x-ray fluorescence on varnishes of historical violins. Spectrochimica Acta Part B: Atomic Spectroscopy 59, 10, 1663--1667.

[18]

Rafael C. Gonzalez and Richard E. Woods. 2008. Digital Image Processing. Prentice Hall, Upper Saddle River, NJ.

Digital Library

[19]

Leo Grady. 2006. Random walks for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 11, 1768--1783.

Digital Library

[20]

R. W. Gunderson, K. E. Thrane, and R. D. Nilson. 1988. A false-color technique for display and analysis of multivariable chemometric data. Chemometrics and Intelligent Laboratory Systems 3, 1, 119--131.

[21]

Shih Hua Hsueh and Hsien Chu Wu. 2012. Building specified Web-searching image database using quantization-color-size histogram. In Proceedings of the 2012 International Symposium on Computer, Consumer, and Control (IS3C’12). IEEE, Los Alamitos, CA, 694--697.

Digital Library

[22]

Claudia Invernizzi, Alessia Daveri, Tommaso Rovetta, Manuela Vagnini, Maurizio Licchelli, Fausto Cacciatori, and Marco Malagodi. 2016. A multi-analytical non-invasive approach to violin materials: The case of Antonio Stradivari “Hellier” (1679). Microchemical Journal 124, 743--750.

[23]

Anil K. Jain. 2010. Data clustering: 50 years beyond K-means. Pattern Recognition Letters 31, 8, 651--666.

Digital Library

[24]

Koen Janssens and René Van Grieken. 2004. Non-Destructive Micro Analysis of Cultural Heritage Materials. Vol. 42. Elsevier.

[25]

Ch. Kavitha, M. Babu Rao, B. Prabhakara Rao, and A. Govardhan. 2011. A novel image retrieval based on multi resolution color and texture features of image sub-blocks. In Proceedings of the 1st International Conference on Computational Intelligence and Information Technology (CHT’11). 347--352.

[26]

Min H. Kim, Todd Alan Harvey, David S. Kittle, Holly Rushmeier, Julie Dorsey, Richard O. Prum, and David J. Brady. 2012. 3D imaging spectroscopy for measuring hyperspectral patterns on solid objects. ACM Transactions on Graphics 31, 4, Article No. 38.

Digital Library

[27]

Min H. Kim, Holly Rushmeier, John Ffrench, Irma Passeri, and David Tidmarsh. 2014. Hyper3D: 3D graphics software for examining cultural artifacts. Journal on Computing and Cultural Heritage 7, 3, Article No. 14.

Digital Library

[28]

Teuvo Kohonen. 1990. The self-organizing map. Proceedings of the IEEE 78, 9, 1464--1480.

[29]

Marco Malagodi, Claudio Canevari, Letizia Bonizzoni, Anna Galli, Francesco Maspero, and Marco Martini. 2013. A multi-technique chemical characterization of a Stradivari decorated violin top plate. Applied Physics A 112, 2, 225--234.

[30]

Khouloud Meskaldji, Samia Boucherkha, and Salim Chikhi. 2009. Color quantization and its impact on color histogram based image retrieval accuracy. In Proceedings of the 1st International Conference on Networked Digital Technologies (NDT’09). 515--517.

[31]

Thomas Moon, Michael R. Schilling, and Sally Thirkettle. 1992. A note on the use of false-color infrared photography in conservation. Studies in Conservation 37, 1, 42--52.

[32]

Jakob Nielsen. 1994. Usability Engineering. Elsevier.

[33]

Anna Pelagotti, Andrea Del Mastio, Alessia De Rosa, and Alessandro Piva. 2008. Multispectral imaging of paintings. IEEE Signal Processing Magazine 25, 4, 27--36.

[34]

Marco Porta. 2007. Human--computer input and output techniques: An analysis of current research and promising applications. Artificial Intelligence Review 28, 3, 197--226.

Digital Library

[35]

Jan Puzicha, Thomas Hofmann, and Joachim M. Buhmann. 1997. Non-parametric similarity measures for unsupervised texture segmentation and image retrieval. In Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 267--272.

Digital Library

[36]

T. Rovetta, C. Canevari, L. Festa, M. Licchelli, S. Prati, and M. Malagodi. 2015. The golden age of the Neapolitan Lutherie (1750--1800): New insights on the varnishes and decorations of ten historic mandolins. Applied Physics A 118, 1, 7--16.

[37]

Emanuele Salerno, Anna Tonazzini, Emanuela Grifoni, Giulia Lorenzetti, Stefano Legnaioli, Marco Lezzerini, Luciano Marras, Stefano Pagnotta, and Vincenzo Palleschi. 2014. Analysis of multispectral images in cultural heritage and archaeology. Journal of Applied and Laser Spectroscopy 1, 22--27.

[38]

Robert S. Simpson. 2003. Lighting Control: Technology and Applications. Taylor 8 Francis.

[39]

Barbara H. Stuart. 2007. Analytical Techniques in Materials Conservation. John Wiley 8 Sons.

[40]

Michael J. Swain and Dana H. Ballard. 1991. Color indexing. International Journal of Computer Vision 7, 1, 11--32.

Digital Library

[41]

Bruce H. Tai. 2007. Stradivari’s varnish: A review of scientific findings, part II. Journal of the Violin Society of America 22, 1, 60--90.

[42]

Hetal J. Vala and Astha Baxi. 2013. A review on Otsu image segmentation algorithm. International Journal of Advanced Research in Computer Engineering and Technology 2, 2, 387--389.

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Published In

cover image Journal on Computing and Cultural Heritage

Journal on Computing and Cultural Heritage Volume 10, Issue 2

April 2017

109 pages

ISSN:1556-4673

EISSN:1556-4711

DOI:10.1145/3068422

Editor:
Roberto Scopigno
CNRźISTI, Italy

Issue’s Table of Contents

Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 21 March 2017

Accepted: 01 November 2016

Revised: 01 October 2016

Received: 01 July 2016

Published in JOCCH Volume 10, Issue 2

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Fondazione Cariplo (Research project Opificio del Suono), Regione Lombardia (POR Ob. 2—4FSE 2007/2013 research)
Fondazione Arvedi Buschini of Cremona

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Cited By

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https://dl.acm.org/doi/10.1145/3575866
Caccia MCaglio SGalli A(2023)Objective interpretation of ultraviolet-induced luminescence for characterizing pictorial materialsScientific Reports10.1038/s41598-023-47006-x13:1Online publication date: 19-Nov-2023
https://doi.org/10.1038/s41598-023-47006-x
Rezaei ALe Hégarat-Mascle SAldea EDondi PMalagodi M(2022)A-contrario framework for detection of alterations in varnished surfacesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2021.103357(103357)Online publication date: Jan-2022
https://doi.org/10.1016/j.jvcir.2021.103357
Rezaei ALe Hégarat-Mascle SAldea EDondi PMalagodi M(2022)Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden SurfacesAdvances in Visual Computing10.1007/978-3-030-90439-5_14(166-179)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-90439-5_14
Fiocco GGonzalez SInvernizzi CRovetta TAlbano MDondi PLicchelli MAntonacci FMalagodi M(2021)Compositional and Morphological Comparison among Three Coeval Violins Made by Giuseppe Guarneri “del Gesù” in 1734Coatings10.3390/coatings1108088411:8(884)Online publication date: 23-Jul-2021
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Volpi FFiocco GRovetta TInvernizzi CAlbano MLicchelli MMalagodi M(2021)New Insights on the Stradivari “Coristo” Mandolin: A Combined Non-Invasive Spectroscopic ApproachApplied Sciences10.3390/app11241162611:24(11626)Online publication date: 7-Dec-2021
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Rezaei AHegarat-Mascle SAldea EDondi PMalagodi M(2021)One step clustering based on a-contrario framework for detection of alterations in historical violins2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412129(9348-9355)Online publication date: 10-Jan-2021
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Fiocco GInvernizzi CGrassi SDavit PAlbano MRovetta TStani CVaccari LMalagodi MLicchelli MGulmini M(2021)Reflection FTIR spectroscopy for the study of historical bowed string instruments: Invasive and non-invasive approachesSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy10.1016/j.saa.2020.118926245(118926)Online publication date: Jan-2021
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Dondi PLombardi LMalagodi MLicchelli M(2021)Stylistic Classification of Historical Violins: A Deep Learning ApproachPattern Recognition. ICPR International Workshops and Challenges10.1007/978-3-030-68787-8_8(112-125)Online publication date: 21-Feb-2021
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Blümich BBaias MRehorn CGabrielli VJaschtschuk DHarrison CInvernizzi CMalagodi M(2020)Comparison of historical violins by non-destructive MRI depth profilingMicrochemical Journal10.1016/j.microc.2020.105219(105219)Online publication date: Jun-2020
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