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Marcos Xosé Álvarez Cid

Marcos Xosé Álvarez Cid

EU Project Developer - Colourlab
Department of Computer Science

marcos.alvarez@ntnu.no
+4773413034 +4745576385 Ametyst-bygget, A226, Gjøvik
About Publications

About

CV

Senior professional on European R&D funding with a proven track-record of granted projects in the last 8 years. Expertise in this field is supported by a research career focused on the development of image analysis algorithms for environmental and industrial applications, with special emphasis in the agrifood and water sectors. Subjects covered include hyperspectral imaging, computer vision, image processing, pattern recognition, texture analysis, 3D representation, IoT and AI. Co-author of more than 20 publications in peer-reviewed journals and international conferences.

Publications

  • Chronological
  • By category

2022

  • Cobo, Fernando; Vieira-Lanero, Rufino; Barca, Sandra; Cobo, María del Carmen; Quesada, Antonio; Nasr, Ahmed; Bedri, Zeinab; Alvarez Cid, Marcos Xose; Saberioon, Mohammadmehdi; Brom, Jakub; Espiña, Begoña. (2022) The AIHABs Project: Towards an Artificial Intelligence-Powered Forecast for Harmful Algal Blooms. Biology Life Science Forum. volum 14 (1).
    Academic article

2015

  • Alvarez Cid, Marcos Xose; García-Díaz, Antón; Rodríguez-Araújo, Jorge; Asensio-Campazas, Alberto; Vilanova, Mar. (2015) Goal-driven phenotyping through spectral imaging for grape aromatic ripeness assessment. Springer. 2015. ISBN 978-331919389-2. Lecture Notes in Computer Science (9117).
    Scientific anthology

2013

  • Fernandez, Antonio; Alvarez Cid, Marcos Xose; Bianconi, Francesco. (2013) Texture description through histograms of equivalent patterns. Journal of Mathematical Imaging and Vision. volum 45 (1).
    Academic article
  • González, Elena; Bianconi, Francesco; Alvarez Cid, Marcos Xose; Saetta, Stefano A.. (2013) Automatic characterization of the visual appearance of industrial materials through colour and texture analysis: An overview of methods and applications. Advances in Optical Technologies.
    Academic article

2011

  • Fernández, Antonio; Alvarez Cid, Marcos Xose; Bianconi, Francesco. (2011) Image classification with binary gradient contours. Optics and lasers in engineering. volum 49 (9-10).
    Academic article

2010

  • Alvarez Cid, Marcos Xose; González, Elena; Bianconi, Francesco; Armesto, Julia; Fernández, Antonio. (2010) Colour and texture features for image retrieval in granite industry. Dyna. volum 77 (161).
    Academic article

Scientific articles

  • Cobo, Fernando; Vieira-Lanero, Rufino; Barca, Sandra; Cobo, María del Carmen; Quesada, Antonio; Nasr, Ahmed; Bedri, Zeinab; Alvarez Cid, Marcos Xose; Saberioon, Mohammadmehdi; Brom, Jakub; Espiña, Begoña. (2022) The AIHABs Project: Towards an Artificial Intelligence-Powered Forecast for Harmful Algal Blooms. Biology Life Science Forum. volum 14 (1).
    Academic article
  • Fernandez, Antonio; Alvarez Cid, Marcos Xose; Bianconi, Francesco. (2013) Texture description through histograms of equivalent patterns. Journal of Mathematical Imaging and Vision. volum 45 (1).
    Academic article
  • González, Elena; Bianconi, Francesco; Alvarez Cid, Marcos Xose; Saetta, Stefano A.. (2013) Automatic characterization of the visual appearance of industrial materials through colour and texture analysis: An overview of methods and applications. Advances in Optical Technologies.
    Academic article
  • Fernández, Antonio; Alvarez Cid, Marcos Xose; Bianconi, Francesco. (2011) Image classification with binary gradient contours. Optics and lasers in engineering. volum 49 (9-10).
    Academic article
  • Alvarez Cid, Marcos Xose; González, Elena; Bianconi, Francesco; Armesto, Julia; Fernández, Antonio. (2010) Colour and texture features for image retrieval in granite industry. Dyna. volum 77 (161).
    Academic article

Books

  • Alvarez Cid, Marcos Xose; García-Díaz, Antón; Rodríguez-Araújo, Jorge; Asensio-Campazas, Alberto; Vilanova, Mar. (2015) Goal-driven phenotyping through spectral imaging for grape aromatic ripeness assessment. Springer. 2015. ISBN 978-331919389-2. Lecture Notes in Computer Science (9117).
    Scientific anthology
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