default author photo

Miguel Ángel Martínez-Domingo

University of Granada

C/Rector López Argueta S/N

Granada, 18071

Spain

  • University of Granada

SCHOLARLY PAPERS

3

DOWNLOADS

164

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Ink Classification in Historical Documents Using Hyperspectral Imaging and Machine Learning Methods

Number of pages: 57 Posted: 12 Oct 2024
Ana Belén López-Baldomero, Marco Buzzelli, Francisco Moronta-Montero, Miguel Ángel Martínez-Domingo and Eva M. Valero
University of Granada, affiliation not provided to SSRN, University of Granada, University of Granada and University of Granada
Downloads 75 (837,727)

Abstract:

Loading...

Ink classification, Historical documents, hyperspectral imaging, Material identification, Machine learning approach, Data fusion, Cultural heritage

2.

Adaptive Algorithm for Pigment Identification from Unmixing Spectral Data: Case Study with Two Versions of a Xvi Century Painting

Number of pages: 37 Posted: 25 Mar 2025
Eva M. Valero, Miguel Ángel Martínez-Domingo, Rosario Blanc, Ana Belén López-Baldomero, Ana López-Montes, David Abad Muñoz, Domingo Martín and José Luis Vílchez
University of Granada, University of Granada, University of Granada, University of Granada, University of Granada, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Granada
Downloads 51 (1,052,702)

Abstract:

Loading...

Spectral unmixing, pigment identification, cultural heritage, color-based adaptive method

3.

Unmixing and Pigment Identification Using Visible and Short-Wavelength Infrared: Reflectance vs Logarithm Reflectance Hyperspaces

Number of pages: 22 Posted: 03 Aug 2023
Eva M. Valero, Miguel Ángel Martínez-Domingo, Ana Belén López-Baldomero, Ana López-Montes, David Abad-Muñoz and José Luis Vílchez
University of Granada, University of Granada, University of Granada, University of Granada, University of Granada and University of Granada
Downloads 38 (1,209,354)

Abstract:

Loading...

Spectral unmixing, Pigment identification, cultural heritage, Endmember extraction, Mixing models.