Laboratory for Intelligent Systems
Electrical and Computer Engineering Department
University of Minnesota, USA:
Digital Fuzzy Sets and Image Processing:
A Comprehensive Overview
VIPromCom-2002 TUTORIAL
Digital Fuzzy Sets and Image Processing: A Comprehensive Overview
Professor Marian S. Stachowicz
Laboratory
for Intelligent Systems
Electrical and Computer Engineering Department
University of Minnesota
USA
Abstract:
The primary purpose of this tutorial is to provide the participant with a comprehensive coverage of theoretical foundation of digital fuzzy set theory (DFS) and multivalued logic (MVL), as well as a broad overview of the increasingly important applications of these new areas of mathematics. Due to computational efficiency DFS and MVL could be used extensively, especially in real time implementations. Throughout the tutorial, many examples are used to illustrate concepts, methods, and genetic applications. The applications, which are multi-disciplinary in nature, includes computing with words, automatic control, image processing, data base management, pattern recognition and so on. Theoretical aspects of DFS and MVL are covered in the first part of the tutorial. Part 2 deals with digital image processing. Part 3, which is devoted to applications of DFS and MVL consists examples from color mining, fuzzy-neural control and intelligent agents. This makes the tutorial virtually self-contained. This user-friendly tutorial is a valuable resource to introduce professionals from many disciplines to the broad applicability of DFS and MVL to many areas of human affairs.
Dr. Marian S. Stachowicz is co-author of the Fuzzy Logic Package for Mathematica and the Fuzzy-Neural Toolkit for LabVIEW.
About the Speaker:
Marian S. Stachowicz is Professor and Jack Rowe Chair at the University of Minnesota in Duluth. He heads the Laboratory for Intelligent Systems at the Electrical and Computer Engineering Department. He is also graduate professor for Computer Science Department UM, Duluth campus, ECE Department and Control Science and Dynamical Systems UM, Twin Cities campus. He received his M.S. degree in Control and Computer Engineering from LETI, Soviet Union and both his Ph.D. and D.Sc. from A G-H, Poland. Dr. Stachowicz received two awards from the Polish Ministry of Higher Education and Science for the introduction of the digital fuzzy sets into the fuzzy set theory that has facilitated applications of the fuzzy set theory to computer engineering. His work centers on artificial intelligence and soft computing, decision analysis and control. Recently, he had worked for Berkeley Initiative in Soft Computing, University of California, Berkeley. He is a member of the North American Fuzzy Information Processing Society, a member of the International Fuzzy Systems Associations, Senior Member of IEEE and a consultant for large multinational corporations.
