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Characterizing Geometric Decoration Styles of the Ilkhanid Period Using Advanced Image Analysis

Online AM: 21 November 2024 Publication History

Abstract

This study advances the understanding of architectural heritage by introducing a novel analytical approach for classifying geometric decorations. Through the integration of image clustering and statistical analysis, the research establishes a robust framework for examining the development of decorative styles in Ilkhanid architecture (1256–1335 CE), renowned for its vibrant and intricate designs. Focusing on the “shamsa,” a star-shaped geometric motif symbolizing the sun and frequently represented through intersecting lines, the study employs a four-stage process: (1) collecting and processing images of decorative elements; (2) developing and applying an unsupervised clustering algorithm to identify meaningful image groups; (3) creating a comprehensive metadata inventory for each image to support analysis; and (4) interpreting the clustered groups to reveal significant patterns and stylistic insights. Analyzing over 230 images from 34 Ilkhanid buildings using hierarchical clustering produced dendrograms illustrating relationships among the image groups. The metadata inventory validated the clusters by incorporating information on region, function, materials, and geometric patterns. This process identified 12 distinct groups of geometric patterns, demonstrating a range of complexity from simple designs to intricate knot motifs, or “gereh.” Ilkhanid decorations predominantly featured materials such as tile, brick, and plaster, with cyan, brick red, azure, and white being the primary colors. The findings present a comprehensive typology of architectural decorations, surpassing prior studies by analyzing broader features.

References

[1]
Maheronnaqsh, M. 1984. Design and execution in Persian ceramics (in Farsi, 5 volumes). Tehran: Reza Abbasi Museum.
[2]
Salehi Kakhaki, A., & Aslani, H. 2011. Introducing twelve types of plasterworks in the architectural decorations of the Islamic period of Iran based on practical techniques and executive details. Journal of Archaeological Studies, 3(1), 89-106, (In Farsi).
[3]
Salehi Kakhaki, A., & Taghavinejad, B. 2016. A study on the geometric decorations of plaster altars in Ilkhanid period in Iran. Journal of Researches in Islamic Architecture, 4(1), 77-95, (In Farsi).
[4]
Bier, C. 2016. Geometry in Islamic Art. In H. Selin (Ed.), Encyclopedia of the History of Science, Technology, and Medicine in Non-Western Cultures. Springer, Dordrecht.
[5]
Bloom, J. M., & Blair, S. S. (Eds.). 2009. The Grove Encyclopedia of Islamic Art and Architecture. Oxford University Press.
[6]
Broug, E. 2013. Islamic Geometric Design. London: Thames & Hudson.
[7]
Ettinghausen, R., Grabar, O., & Jenkins-Madina, M. 2001. Islamic Art and Architecture, 650–1250. New Haven, CT: Yale University Press.
[8]
Gerdes, P. 1999. Geometry from Africa: Mathematical and Educational Explorations. Washington, DC: Mathematical Association of America.
[9]
Hillenbrand, R. 1994. Islamic Architecture: Form, Function, and Meaning. New York: Columbia University Press.
[10]
Godec, P., Pančur, M., Ilenič, N., Čopar, A., Stražar, M., Erjavec, et al. 2019. Democratized image analytics by visual programming through integration of deep models and small-scale machine learning. Nature Communications, 10(1), 1-7.
[11]
Smith, J., & Zhang, Q. 2021. Machine learning for architectural heritage: A clustering approach. Journal of Architectural Conservation, 27(2), 154-169.
[12]
Johnson, D., Liu, S., & Sutton, A. 2020. Deep learning for Roman mosaic analysis: A CNN approach. Journal of Computer Applications in Archaeology, 3(1), 22-33.
[13]
Gupta, R., & Kumar, P. 2019. Clustering Islamic geometric patterns in architecture using machine learning. Artificial Intelligence for Art and Design, 4(3), 45-59.
[14]
Lee, S., & Kim, H. 2018. Clustering urban building designs through unsupervised learning. Urban Planning and Development Journal, 44(4), 201-215.
[15]
O'Connor, J., Smith, T., & Patel, R. 2021. Clustering-based method for analyzing urban architectural patterns. Journal of Urban Planning, 52(1), 30-45.
[16]
Foster, H., & Nguyen, D. 2018. Automated clustering of architectural floor plans. Journal of Architecture and Building Science, 134(10), 645-659.
[17]
Blair, S. 2014. Text and Image in Medieval Persian Art. Edinburgh: Edinburgh University Press.
[18]
Carboni, S., & Masuya, T. 1993. Persian Tiles. New York: Metropolitan Museum of Art.
[19]
Hillenbrand, R. 1989. The Arts of Persia. New Haven: Yale University Press. Internet Archive.
[20]
Bloom, J. 1997. Islamic Arts. London: Phaidon Press. Internet Archive.
[21]
Wilber, D. N. 1976. Iran, Past and Present. Princeton University Press. Internet Archive.
[22]
Taghavinejad, B. 2017. Decorations of plaster altars of the Ilkhanid period in Iran (stylistic analysis on classification and motifs). (PhD thesis, Art University of Isfahan, Faculty of Higher Arts and Entrepreneurship Research, Department of Art Studies). Art University of Isfahan. (In Farsi).
[23]
Milwright, M. 2001. GEREH-SĀZĪ. Encyclopaedia Iranica, Online Edition. Last accessed 10/21/2024. https://iranicaonline.org/articles/gereh-sazi
[24]
Lee, A. 1987. Islamic star patterns. Muqarnas, 4, 97-182.
[25]
Raeeszadeh, M., & Mofid, H. 2011. Revival of Frgotten Arts: Basics of Traditional Architecture in Iran as Narrated by Master Hossein Lorzadeh. Tehran: Moula Publications, (in Farsi).
[26]
Maimon, O., & Rokach, L. 2006. Clustering methods. In: Data Mining and Knowledge Discovery Handbook, 321–352, Springer.
[27]
Nielsen, F. 2016. Introduction to HPC with MPI for Data Science, 195–211, Springer.
[28]
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. 2016. Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2818-2826
[29]
El-Saeed, I., & Parman, A. 1976. Geometric Concepts in Islamic Art. London: World of Islam Festival.
[30]
Abdullahi, Y., & Bin Embi, M. R. 2013. Evolution of Islamic geometric patterns. Frontiers of Architectural Research, 2(2), 243-251.
[31]
Pope, A. U., & Ackerman, P. (Eds.). 1938/1939. A Survey of Persian Art from Prehistoric Times to the Present (6 volumes). London/New York: Oxford University Press.
[32]
Zomorsheidi, H. 1986. Picking Geometric Knot (Gerehchini) in Islamic Architecture and Handicraft Arts. Tehran: Iran University Publications, (In Farsi).
[33]
Godard, A. 1965. The Art of Iran. Translated from the French by Michael Heron. London: George Allen and Unwin Ltd.
[34]
Pirnia, M. K., & Memarian, G. H. 2004. Styles of Iranian Architecture. Tehran: Sorush Danesh, (In Farsi).
[35]
Sharbaf, A. 2006. Sharbaf and His Works. Tehran: Iranian Cultural Heritage Organization, (In Farsi).
[36]
Mahmoudnejad, M., Andaroodi, E., & SaadatSeresht, M. 2022. Advanced clustering of architectural geometric ornaments using small-scale machine learning: Case study of Ilkhanid geometric patterns. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[37]
Creswell, J. W., & Creswell, J. D. 2018. Research Design (5th ed.). SAGE Publications.

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cover image Journal on Computing and Cultural Heritage
Journal on Computing and Cultural Heritage  Just Accepted
EISSN:1556-4711
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Association for Computing Machinery

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Publication History

Online AM: 21 November 2024
Accepted: 03 November 2024
Revised: 21 October 2024
Received: 17 October 2023

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Author Tags

  1. Clustering
  2. Geometric Decoration
  3. Image analysis
  4. Small-scale machine learning

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