The Histogram Approach for Comparing Cartograms of Murals

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Abstract

The article describes the development of software aimed at processing images of murals of architectural monuments in order to identify defects. For flaw detection, a histogram approach was used – a comparison of the brightness characteristics of two images of frescoes. This method allows you to track the status of architectural monuments with low costs and minimal human involvement. The developed technology is used as part of the protection of the cultural heritage of the island-town of Sviyazhsk.

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References

1. Sitdikov A.G., Shaykhutdinova E.F., Kugurakova V., Zykov E.Yu., Kasimov A.V., Skobelev A.A. Development of Modern Methods for the Diagnostics of Murals in Architectural Monuments // European Research Studies Journal. 2017. Vol. XX, Special Issue. P. 496–506.
2. Liang Y. Research on restoration technology of dunhuang frescoes based on faded texture simulation// Boletin Tecnico/Technical Bulletin. 2017. Vol. 55, No. 13. P. 737–743.
3. Yuan M., Sun W., Wang X., Ye J., Wang S., Zhang Q., Zhang Y. Mural defects detection with enhanced terahertz images// Journal of Electronic Science and Technology. 2016. Vol. 14, No. 4. P. 337–342.
4. Accornero F., Invernizzi S., Lacidogna G., Carpinteri A. The sacred mountain of varallo renaissance complex in Italy: Damage analysis of decorated surfaces and structural supports// Acoustic, Electromagnetic, Neutron Emissions from Fracture and Earthquakes. 2016. P. 249–264.
5. Yang S., Zhu R., Mi L., Cao Y., Li Q. Application of optical coherence tomog-raphy in the detection of the mural// Guangxue Xuebao/Acta Optica Sinica. 2015. Vol. 35, No. 5.
6. Ma Y. Application of edge detection and image segmentation algorithm of image processing in murals copy// Revista de la Facultad de Ingenieria. 2017. Vol. 32, No. 5. P. 809–818.
7. Кугуракова В.В., Зыков Е.Ю., Касимов А.В., Ситдиков А.Г., Скобелев А.А., Шайхутдинова Е.Ф. In situ двухдиапазонная 3D-дефектоскопия стенописей архитектурных памятников // Электронные библиотеки. 2016. T. 19, №6. C. 538–558.
8. Зыков Е.Ю., Шерстюков О.Н., Акчурин А.Д. Исследовательский ионо-зонд «Циклон» Казанского университета и программное обеспечение автомати-ческой обработки ионограмм // Гелиогеофизические исследования. 2013. Вып. 4. С. 39–46.
9. Зыков Е.Ю., Акчурин А.Д., Сапаев А.Л., Шерстюков О.Н. Автоматическая интерпретация ионограмм вертикального зондирования // Ученые записки Казанского университета. 2008. Т. 150, Кн. 3. C. 36–45.
10. Sitdikov A.G., Shaykhutdinova E.F., Kasimov A.V., Azizov T.R., Kugurakova V.V. A practical approach to an automated accounting system development of the study results of historical and architectural sites of the island of Sviyazhsk // Helix. 2018. Vol. 8(1). P. 2301–2306.
11. Azizov T.R., Shaykhutdinova E.F., Sitdikov A.G. Practical Approach to Development Automated System of Record Research Results Architectural Cultural Heritage Objects Island-Town Sviyazhsk // World Academy of Science, Engineering and Technology, International Science Index, Computer and Information Engineering. 2015. V. 2(12). P. 1715.
12. Свидетельство о государственной регистрации программы для ЭВМ № 201861634 «Гистограммный анализатор изображений для дефектоскопии фресковой живописи» / Кугуракова В.В., Владимиров П.И., Зыков Е.Ю., Ситди-ков А.Г., Шайхутдинова Е.Ф. № 201861634; заявл. 19.04.2018; в реестре программ для ЭВМ с 01.06.2018.