Top

Published in:

2019 | OriginalPaper | Chapter

Segmentation of Multi-temporal UV-Induced Fluorescence Images of Historical Violins

Authors : Piercarlo Dondi, Luca Lombardi, Marco Malagodi, Maurizio Licchelli

Published in: New Trends in Image Analysis and Processing – ICIAP 2019

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Monitoring the state of conservation of a historical violin is a difficult task. Multiple restorations during centuries have created a very complex and stratified surface, hard to correctly interpret. Moreover, the reflectance of the varnishes and the rounded morphology of the violins can easily produce noise, that can be confused for a real alteration. To properly compare multi-temporal images of the same instrument a robust segmentation is needed. To reach this goal we adopted a genetic algorithm to evolve in this direction our previous segmentation method based on HSV histogram quantization. As test set we used images of two important violins held in “Museo del Violino” in Cremona (Italy), periodically acquired during a six-month period, and images of a sample violin altered in laboratory to reproduce a long-term evolution.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A Comparative Analysis of Two Commercial Digital Photogrammetry Software for Cultural Heritage Applications

next chapter A Study of English Neologisms Through Large-Scale Probabilistic Indexing of Bentham’s Manuscripts

https://vision.unipv.it/research/UVIFL-Dataset/.

Bradley, S.: Preventive conservation research and practice at the British museum. J. Am. Inst. Conserv. 44(3), 159–173 (2005). https://doi.org/10.1179/019713605806082248CrossRef

Brandmair, B., Greiner, P.S.: Stradivari varnish: scientific analysis of his finishing technique on selected instruments. Serving Audio (2010)

Bruni, S., Guglielmi, V.: Identification of archaeological triterpenic resins by the non-separative techniques FTIR and 13C NMR: the case of Pistacia resin (mastic) in comparison with frankincense. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 121, 613–622 (2014). https://doi.org/10.1016/j.saa.2013.10.098CrossRef

Cerra, D., Plank, S., Lysandrou, V., Tian, J.: Cultural heritage sites in danger–towards automatic damage detection from space. Remote Sens. 8(9), 781 (2016). https://doi.org/10.3390/rs8090781CrossRef

Chouhan, S.S., Kaul, A., Singh, U.P.: Soft computing approaches for image segmentation: a survey. Multimedia Tools Appl. 77(21), 28483–28537 (2018). https://doi.org/10.1007/s11042-018-6005-6CrossRef

Deborah, H., Richard, N., Hardeberg, J.Y.: Hyperspectral crack detection in paintings. In: 2015 Colour and Visual Computing Symposium (CVCS), pp. 1–6, August 2015. https://doi.org/10.1109/CVCS.2015.7274902

Dondi, P., Lombardi, L., Invernizzi, C., Rovetta, T., Malagodi, M., Licchelli, M.: Automatic analysis of UV-induced fluorescence imagery of historical violins. J. Comput. Cult. Herit. 10(2), 12:1–12:13 (2017). https://doi.org/10.1145/3051472CrossRef

Dondi, P., Lombardi, L., Malagodi, M., Licchelli, M.: Automatic identification of varnish wear on historical instruments: the case of Antonio Stradivari violins. J. Cult. Herit. 22, 968–973 (2016). https://doi.org/10.1016/j.culher.2016.05.010CrossRef

Dondi, P., Lombardi, L., Malagodi, M., Licchelli, M., Rovetta, T., Invernizzi, C.: An interactive tool for speed up the analysis of UV images of Stradivari violins. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds.) ICIAP 2015. LNCS, vol. 9281, pp. 103–110. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23222-5_13CrossRef

10.

Fichera, G.V., et al.: Innovative monitoring plan for the preventive conservation of historical musical instruments. Stud. Conserv. 63(Suppl. 1), 351–354 (2018). https://doi.org/10.1080/00393630.2018.1499853CrossRef

11.

Fiocco, G., et al.: Approaches for detecting madder lake in multi-layered coating systems of historical bowed string instruments. Coatings 8(5) (2018). https://doi.org/10.3390/coatings8050171CrossRef

12.

Janssens, K., Van Grieken, R.: Non-Destructive Micro Analysis of Cultural Heritage Materials, vol. 42. Elsevier, Amsterdam (2004)

13.

Jmal, M., Souidene, W., Attia, R.: Efficient cultural heritage image restoration with nonuniform illumination enhancement. J. Electron. Imaging 26(1), 1–15 (2017). https://doi.org/10.1117/1.JEI.26.1.011020CrossRef

14.

Paulinas, M., Ušinskas, A.: A survey of genetic algorithms applications for image enhancement and segmentation. Inf. Technol. Control 36(3), 278–284 (2007)

15.

Pizurica, A., et al.: Digital image processing of the Ghent Altarpiece: supporting the painting’s study and conservation treatment. IEEE Signal Process. Mag. 32(4), 112–122 (2015). https://doi.org/10.1109/MSP.2015.2411753CrossRef

16.

Polak, A., et al.: Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication. J. Cultural Herit. 26, 1–11 (2017). https://doi.org/10.1016/j.culher.2017.01.013CrossRef

17.

Puzicha, J., Hofmann, T., Buhmann, J.M.: Non-parametric similarity measures for unsupervised texture segmentation and image retrieval. In: Proceedings of 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 267–272, June 1997. https://doi.org/10.1109/CVPR.1997.609331

18.

Rovetta, T., et al.: The case of Antonio Stradivari 1718 ex-San Lorenzo violin: history, restorations and conservation perspectives. J. Archaeol. Sci. Rep. 23, 443–450 (2019). https://doi.org/10.1016/j.jasrep.2018.11.010CrossRef

19.

Rovetta, T., Invernizzi, C., Licchelli, M., Cacciatori, F., Malagodi, M.: The elemental composition of Stradivari’s musical instruments: new results through non-invasive EDXRF analysis. X-Ray Spectrom. 47(2), 159–170 (2018). https://doi.org/10.1002/xrs.2825CrossRef

20.

Stanco, F., Battiato, S., Gallo, G.: Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks. CRC Press, Boca Raton (2011)

21.

Stuart, B.H.: Analytical Techniques in Materials Conservation. Wiley, Hoboken (2007)CrossRef

22.

Tan, W.R., Chan, C.S., Aguirre, H.E., Tanaka, K.: ArtGAN: artwork synthesis with conditional categorical GANs. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3760–3764, September 2017. https://doi.org/10.1109/ICIP.2017.8296985

Title: Segmentation of Multi-temporal UV-Induced Fluorescence Images of Historical Violins
Authors: Piercarlo Dondi
Luca Lombardi
Marco Malagodi
Maurizio Licchelli
Publisher: Springer International Publishing
Book: New Trends in Image Analysis and Processing – ICIAP 2019
Print ISBN: 978-3-030-30753-0

Electronic ISBN: 978-3-030-30754-7

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-30754-7_9

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner