Models and algorithms for image-based analysis of microstructures [Elektronische Ressource] / Oliver Wirjadi

Models and Algorithms for Image-Based Analysisof MicrostructuresDipl.-Inform. Oliver WirjadiVom Fachbereich Informatik der Technischen Universit at Kaiserslauternzur Verleihung des akademischen Grades Doktor der Naturwissenschaften(Dr. rer. nat.) genehmigte Dissertation.Dekan: Prof. Dr. Karsten BernsVorsitzender der Promotionskommission: Prof. Dr.-Ing. Jens SchmittBerichterstatter: Prof. Dr. Thomas BreuelProf. Dr.-Ing. Andreas K onigTag der wissenschaftlichen Aussprache: 13.02.2009(D 386)AbstractModern digital imaging technologies, such as digital microscopy or micro-computed tomography,deliver such large amounts of 2D and 3D-image data that manual processing becomes infeasible.This leads to a need for robust, exible and automatic image analysis tools in areas such as histol-ogy or materials science, where microstructures are being investigated (e.g. cells, ber systems).General-purpose image processing methods can be used to analyze such microstructures. Thesemethods usually rely on segmentation, i.e., a separation of areas of interest in digital images. Asimage segmentation algorithms rarely adapt well to changes in the imaging system or to di erentanalysis problems, there is a demand for solutions that can easily be modi ed to analyze di erentmicrostructures, and that are more accurate than existing ones.