arXiv subjects
Publications and source records attributed to Heike Leitte.
In this work, we present concepts for the analysis of the evolution of two-dimensional skeletons. By introducing novel persistence concepts, we are able to reduce typical temporal incoherence, and provide insight in skeleton dynamics. We exemplify our approach by means of a simulation of viscous fingering---a highly dynamic process whose analysis is a hot topic in porous media research.
Segmentations are often necessary for the analysis of image data. They are used to identify different objects, for example cell nuclei, mitochondria, or complete cells in microscopic images. There might be features in the data, that cannot be detected by segmentation approaches directly, because they are not characterized by their texture of boundaries, which are properties most segmentation techniques rely on, but morphologically. In this report we will introduce our algorithm for the extraction of suchlike morphological features of segmented objects from segmentations of neuromuscular junctions and its interface for informed parameter tuning.