VISUAL IMAGE PROCESSING LABORATORY
A research project on computational vision science.

Funded by Generalitat Valenciana under grant AICO-2020-136 (VIPLab) and CIAICO/2022/051 (IMaLeVICS) 

IMaLeVICS at the National Color Conference 2025 in Mérida

Jul 2, 2025 | Activity

National Color Conference 2025

From June 26 to 28, the city of Mérida hosted the Congreso Nacional de Color 2025, bringing together professionals and researchers to explore advances in color science and its diverse applications.

Fuzzy Logic System for Computing Color Differences

Our colleague Rafael Huertas presented the paper “Sistema de lógica difusa para calcular diferencias de color”, a joint work with S. Morillas, P. Latorre-Carmona and J.J. Miñana. The proposal introduces trained fuzzy logic models as interpretable alternatives to traditional formulas like CIEDE2000, especially useful when computing perceptual color differences in fields such as textiles, automotive coatings, or medical imaging.

The system stands out for its ability to extract perceptual rules from data, modelling nonlinearities and highlighting distinct regions within the CIELAB space. The results demonstrate its potential to complement or improve current perceptual models in color science.

Want to dive into the methodology? The talk included experiments using five optimal fuzzy rules and an analysis of their interpretability in perceptual contexts.

A Landmark Gathering for Color Research in Spain

Held every three years since 1989, the National Color Conference is Spain’s leading scientific and technical meeting on color. This year’s edition marked a return to Extremadura nearly three decades after it last hosted the event. Organized by the Color Committee of the Spanish Society of Optics (SEDOPTICA) and the Orion Research Group at the University of Extremadura, the conference offered a rich, multidisciplinary forum for sharing knowledge and discussing the impact of color across research, education, and industry.
We are proud to be part of this long-standing tradition and contribute to advancing color science with interpretable AI systems.

Moving Toward Interpretable Color Science

At IMaLeVICS, we are committed to developing transparent and interpretable machine learning models. Conferences like this one strengthen our network and broaden the impact of our research in practical domains.

If you want to know more about it, contact us.