Plenary Lecture

Digital Image Segmentation Techniques and Applications

Professor Milan Tuba
John Naisbitt University
Graduate School of Computer Science

Abstract: Digital image processing is one area in computer science that appeared later, but probably found most numerous applications. Digital images are created using not only the visible light, but also many other sources like infrared or ultraviolet waves, ultrasound, X-rays, magnetic resonance, etc. Besides image conditioning, removing noise or enhancing certain features like contrast or color balance, more advanced image processing with the goal of image understanding is often used. An important step before image understanding is image segmentation that is used to partition an image into regions that represent different elements of that image. Later analysis tries to classify these elements, recognize them, determine relations among them, etc. Digital image segmentation is performed using different pixel based, neighbor based or global criteria like intensity level, intensity variance, entropy, texture features, etc. For any of these criteria multilevel thresholding can be the final step of segmentation and that is a hard optimization problem which also requires the selection of an appropriate objective function. After the initial, coarse segmentation additional techniques are applied to improve segmentation areas, boundaries and compactness. This plenary lecture will present some successful digital image segmentation techniques and applications.

Brief Biography of the Speaker: Milan Tuba is the Dean of Graduate School of Computer Science and Provost for mathematical and technical sciences at John Naisbitt 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 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 theses supervisor. 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, University of Belgrade, 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 heuristic optimizations applied to computer networks, image processing and combinatorial problems. Prof. Tuba 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, IEEE, AMS, SIAM, IFNA.

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