The Kermit Image ToolkitT (KITT) is an initiative to provide students and researchers all over the world with easy-to-follow and easy-to-use implementations of image processing algorithms, as well as with datasets to validate their proposals.
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B. De Baets
Full Professor, Universiteit Gent
B. De Baets holds an M.Sc. degree in Mathematics (1988), a Postgraduate degree in Knowledge Technology (1991) and a Ph.D. degree in Mathematics (1995), all summa cum laude. He is a Full Professor (2008) in Applied Mathematics at Ghent University, Belgium, where he is leading the research unit Knowledge-based Systems (KERMIT, 2000) at the Faculty of Bioscience Engineering. He is an Honorary Professor (2006) of Budapest Tech (Hungary). He was a Government of Canada Award holder (1988-89) at the Intelligent Systems Research Laboratory of the University of Saskatchewan. He was elected Fellow of the International Fuzzy Systems Association in 2011 and has been nominated for the 2012 Ghent University Prometheus Award for Research.
C. López Molina
Assistant Professor, Universida Publica de Navarra
Dr. Lopez-Molina is professor at the Universidad Publica de Navarra, where he obtained his PhD (2012). His research interests are in low-level feature extraction and treatment for computer vision. Mainly, he has developed his work around edge and boundary detection, as well as in soft computing techniques for computer vision.
Guillermo Vidal-Diez de Ulzurrun
Assistant Professor, Universiteit Gent
Guillermo Vidal-Diez de Ulzurrin is PhD by Ghent University. Currently based in Belgium, he obtained his Master of Sciences from the Universidad Complutense de Madrid in 2007 and his PhD in 2017. His research area comprises the study and modelling of fungal growth, where he combines his background in applied mathematics and his interest in biology and mycology.
Post-doctoral researcher, Universidad Pública de Navarra
Dr. Lopez-Maestresalas is Agronomical Engineer by the Universidad Publica de Navarra. After professional experiences abroad, she enrolled back in her home university and received her PhD by the Universidad Publica de Navarra, 2016. As a pre-doctoral researcher, her research was focused on non-destructive spectroscopic techniques for quality inspection on agro-food products. In her post-doctoral stage, she is carrying out studies on the applications of hyperspectral imaging techniques to quality control, modelling and prediction on a wide range of agricultural products.
Gang is currently a PhD student in KERMIT: research unit knowledge-based systems, at Ghent University, Belgium. His research interests include image processing, feature engineering, computer vision and machine learning.