Invited Speaker---Prof. Abdullah Toprak


Head of Electronic Department, Dicle University, Turkey

Biography: Abdullah Toprak was born in Diyarbakır, Turkey in 1972. He received the diploma in electronic engineering from Erciyes University, Kayseri, Turkey in 1993, the M.S. degree from Dicle University, Diyarbakır, Turkey in 2002, and the Ph.D. degree from Gazi University in 2006, both in electronic engineering. Since 1995, he has been a Lecturer at Dicle University and Chairman of electronic section. He is working in Dicle University as Dean of Engineering Faculty. His researches have been focused on the modeling of fuzziness and uncertainty. His current research interests include fuzzy and fuzzy relations, fuzzy topology and fuzzy image processing, digital signal processing, content-based image/video indexing and retrieval, pattern recognition, clustering, biomedical signals and images processing.

Speech Title: Angiograph Image Restoration with the Use of Rule Base Fuzzy 2D Kalman Filter
Abstract: Recursive estimation techniques such as Kalman filter have been used for a long time in image restoration. The aim of this paper is restoration of the images, which are heavy corrupted with the mix of Gaussian and impulse noises, by using novel rule base fuzzy 2D Kalman filter (RBFK). Rule base fuzzy 2D Kalman filter has been utilized for restoration of image which is contaminated with random noises. In the first step of the study, the noisy images were converted to stack which includes several stationary images in order to apply Kalman filter. The experiments which are indicated that rule based fuzzy 2D Kalman filter is one of the best techniques to remove the mix of Gaussian and impulse noises. Although, Kalman Filter is used in motion images, in this study, it was applied to the stationary images which were duplicated many times to obtain stack.