Faculty of Engineering and Natural Sciences
Wednesday, April 11, 2012 at 14:40
Principles and Applications of Mathematical Morphology
Mathematical morphology is a non-linear image processing theory based on
complete lattices. Since its inception on binary images in the 1960s, it has
been developed for grayscale, color, hyperspectral as well as tensorial
images & video and has evolved nowadays into a complete image processing
framework. Its tools cover the entire spectrum of digital image processing
goals: enhancement, restoration, segmentation, content description, etc.;
while its applications range from industrial inspection and biomedicine to
astronomy, remote sensing and microscopy. This talk will focus on providing
an overview of the basic principles behind advanced morphological tools,
such as reconstruction based operators, differential morphological profiles,
quasi-flat zones, alpha-trees and discuss the latest research directions in
morphological image processing.
Bio. Erchan Aptoula received the B.Sc. degree in Computer Engineering from
Galatasaray University, Turkey in 2004. He further holds M.Sc. and Ph.D.
degrees in Computer Science from Strasbourg University, France, obtained
respectively in 2005 and 2008. He has been an Assistant Professor of
Computer Engineering at Okan University, Turkey since 2010. His research
interests include mathematical morphology, color and hyperspectral image
processing as well as content-based image retrieval and multimedia indexing.