If you use the Aracne software please cite the following in your work:
F. J. Simois-Tirado, J. J. Murillo-Fuentes, “On the power spectral density applied to the analysis of old canvases” Signal Processing. 2017. Vol. 143. Pag. 253-268.
A. Delgado, J.J. Murillo-Fuentes, L. Alba-Carcelen, “Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models“. Int. J. on Computer Vision, 133. 2025
A. Delgado, L. Alba-Carcelen, J.J. Murillo-Fuentes, “Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning“. Engineering Application of Artificial Intelligence, 126. 2023
J.J. Murillo-Fuentes, Irene Fondón-García, Marta Ternero Gutiérrez,P. Aguilera-Bonet, Lucía Córdoba Saborido, Francisco Simois Tirado “ARACNE, A software tool for thread counting in X-rays of Fabrics” https://grupo.us.es/gapsc/aracne
Other related publications
Book chapters
- Murillo-Fuentes, J. J. and L. Alba (2018). ‘Thread Counting in X-Rays of Plain-Weave Painting Canvas.’ In Advanced Characterization Techniques, Diagnostic Tools and Evaluation Methods in Heritage Science. Springer, pp. 91–105.
- Carcelén, Laura Alba and Juan José Murillo-Fuentes (2021). ‘Fabrics as a Painting Support: New Tools for their Study.’ In La Ciencia y el Arte: Ciencias experimentales y conservación del patrimonio histórico. 7. La Ciencia y el Arte VII: Ciencias experimentales y conservación del patrimonio. Ministerio de Cultura y Deporte, pp. 219–230. ISBN: 978-84-8181-760-7.
Book chapters
- Juan José Murillo-Fuentes; L. Alba-Carcelén (2025). “Fourier Domain in the Analysis of Egyptian Textiles in Archeology”. In: Proceedings of the 33rd European Signal Processing Conference (EUSIPCO 2025), Palermo, Italy, 8–12 September 2025. paper
- Mar Velasco, Juan José Murillo-Fuentes and Laura Alba-Carcelén (Sept. 2022). ‘Complex Twill Fabrics Pattern Recognition in Canvases.’ In 7th IP4AI Meeting: Computational approaches for technical imaging in cultural heritage. National Gallery.
- Antonio D. Bejarano, Juan José Murillo-Fuentes, Laura Alba-Carcelén (2022), “Crossings Segmentation in Plain Weaves for X-Rays of Canvases with Deep Learning”, Computational approaches for technical imaging in cultural heritage (7th IP4AI meeting). April, London. https://art-ict.github.io/artict/Conference.html
- Fondón-García, I., F. J. Simois and J. J. Murillo-Fuentes (June 2014). ‘Software tool for thread counting in X-rays of plain-weave painting canvas.’ In Conf. on Non-destructive Investigations and Microanalysis for Diagnostics and Conservation of Cultural and Environmental Heritage (ART2014), IND119.
