- PII
- S30346444S0002338825040108-1
- DOI
- 10.7868/S3034644425040108
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume / Issue number 4
- Pages
- 149-159
- Abstract
- The article proposes a new algorithm for measuring the texture characteristics of objects in images. The novelty of the algorithm lies in using pairs of images obtained in raking light and combining their Fourier spectra. The application of the developed algorithm is demonstrated in solving the problem of counting the threads of woven bases of paintings from images. A computational experiment showed that the error in measuring the canvas density does not exceed 0.4 threads per centimeter. The accuracy of measuring the canvas density using different methods was compared. The proposed algorithm measures the characteristics of painting canvases with a texture distorted by pollution, ground penetration, or treatment with restoration materials, and is superior in accuracy to previously used algorithms. Using a new algorithm, the density of the canvases of seven paintings from the collection of the State Historical Museum was measured.
- Keywords
- измерение текстурных характеристик изображений комбинирование изображений спектр Фурье направленное освещение изображения произведений живописи атрибуция произведений живописи тканая основа изображение холста плотность холста
- Date of publication
- 11.11.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 24
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