IPMU, S20: Soft Computing and Artificial Intelligence Techniques in Image Processing,
https://ipmu2022.disco.unimib.it/, deadline for submissions January 14, 2022
Dear Colleagues,
We invite you to contribute to the Special Session, the importance of which does not require additional arguments. Image processing has become a part of our life. This area is evolving rapidly and new tools are welcome, especially if they are focused on reducing computational complexity. Below you will find a description and topics of interest that are planned to be discussed.
Our team of organizers for the special session wishes you a pleasant winter break and a good start to next year!
Organizers: Irina Perfilieva, Javier Montero, Humberto Bustince, Carlos Lopez Molina, Jan Hula
Special Session (S20) proposal
„Soft Computing and Artificial Intelligence Techniques in Image Processing,
with the focus on Advanced Shape Analysis and Reconstruction“
The Special Session is focused on theoretical and application aspects of image processing.
Traditionally, our interest is in the direction of modern AI methods that use and combine conventional, fuzzy and neural network methods together.
This year we propose to discuss in detail the topic of shape analysis and reconstruction, which plays a key role in applications ranging from traditional geometry processing to advanced 3D content management techniques. Shape analysis is closely related to semantic understanding, which is extremely important in applications dealing with a 3D representation of a scene.
Among other things, we are looking for tools that support semantic annotation of digital 3D shapes.
Our interest also lies in the development of shape analysis tools capable of capturing a diverse set of morphologically significant functions, possibly at different scales, for the purpose of segmentation, classification, clustering, and other tasks.
This special session will focus on (but not limited to) the following topics:
· Soft computing methods in all aspects of image analysis and processing;
· Medical image processing;
· Reliable feature extraction;
· HD Manifolds in image representation;
· Manifold learning;
· Laplace-Beltrami operators and Graph Laplacians;
· Reduction of dimensionality;
· Manifolds and fuzzy sets.
Irina Perfilieva, Javier Montero, Humberto Bustince, Carlos Lopez Molina, Jan Hula
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Prof. Irina Perfilieva, PhD, dr.h.c., prof.h.c.
Centre of Excellence IT4Innovations division of the University of Ostrava
Institute for Research and Applications of Fuzzy Modeling
30. dubna 22
701 00 Ostrava 1
Czech Republic
tel: +420-597 091 408
fax: +420-596 120 478