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.

What to know more? Just keep on reading!

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When possible, our contents are published free of charge and copyright. We neither claim nor retain rights on the materials of this site, and we encourage researchers and students to further develop and distribute them under the same licensing schema.

Forward Thinking

You are invited to collaborate, correct and expand our collection of code and datasets. We are happy to collect and help distributing high quality material.

Open to the community

Whether you have problems, suggestions or need advice, you can contact us! We might be able to help you our, or not, but we’ll be glad to hear about you.
Who we are.- We are professional researchers and professors all working around the Research Unit on Knowledge-Base Systems (KERMIT) of the Ghent University. We are a diverse group with very heterogeneous interests, and so we appreciate the interest in collaboration, either we gain recognition in the process or not. Currently, this project is being handled by Carlos López Molina and B. De Baets. What we want.- We want to offer tools for professionals to develop their own code, as well as to properly understand some of the most popular methods in the literature. Moreover, we want them to be able to check and analyze every step the information goes through. In short, we want to make all of our work as accessible as possible to everyone around. Test our code, contribute with your own, or simply spread the word to let the science grow.
B. De Baets

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

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

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.

A. Lopez-Maestresalas

A. Lopez-Maestresalas

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 WANG

Gang WANG

PhD student

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.