Plenary Lecture

Image Processing Algorithm for Shape Recognition by Invariant Features

Professor Milan Tuba
Faculty of Computer Science
University Megatrend Belgrade
Serbia
E-mail: tuba@ieee.org

Abstract: Digital image processing is one of the most used procedures in the wide area of human activities like medicine, manufacturing, science etc. Image processing covers a range of techniques, from elementary pixel based and local signal processing for some desirable image transformations to more complex algorithms for segmentation, recognition and information deduction. This plenary lecture describes an algorithm for shape recognition based on invariant features. After initial processing, that may include noise reduction, processing that emphasizes certain features, initial thresholding and segmentation, the image is ready for shape recognition. However, since the detected shapes can be in various positions and distances which makes template based recognition difficult, invariant features of the shapes are preferred for recognition. Additional problem is that usually such features are not enough for reliable discrimination and additional elements are added to the algorithm to enhance classification. Some elements of the pre-processing as well as classification may be hard optimization problems so optimization metaheuristics, specifically from the swarm intelligence family, are used at these stages.

Brief Biography of the Speaker: Milan Tuba is Professor of Computer Science and Provost for mathematical, natural and technical sciences at Megatrend University of Belgrade. He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph. D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. first as a graduate student and teaching and research assistant at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union Graduate School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of scientific projects and supervisor of many theses. From 1994 he was Assistant Professor of Computer Science and Director of Computer Center at University of Belgrade, from 2001 Associate Professor, Faculty of Mathematics, and from 2004 also a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He was teaching more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Image Processing, Calculus and Queuing Theory. His research interest includes mathematical, queuing theory and heuristic optimizations applied to computer networks, image processing and combinatorial problems. He is the author or coauthor of more than 150 scientific papers and coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. Member of the ACM since 1983, IEEE 1984, New York Academy of Sciences 1987, AMS 1995, WSEAS, SIAM, IFNA.

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