A Comparison of Five Methods for Signal Intensity Standardization in MRI (2009)
Jan-philip Bergeest, Florian Jäger, Lehrstuhl Für Mustererkennung
Abstract. A major problem in magnetic resonance imaging (MRI) is the lack of a pulse sequence dependent standardized intensity scale like the Hounsfield units in computed tomography. This affects the...
Edge-Preserving Denoising for Segmentation in CT-Images (2009)
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Joachim Hornegger, Lehrstuhl Für Mustererkennung
Abstract. In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In order to...
Adapting Object Recognition Across Domains: A Demonstration (2009)
Bruce A. Drapeer, Ulrike Ahlrichs, Dietrich Paulus, Lehrstuhl Für Mustererkennung
Abstract. High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it difficult to...
Probabilistic integration of cues from multiple cameras (2002)
J. Denzler, M. Zobel, J. Triesch, Lehrstuhl Für Mustererkennung
Abstract Cue integration from multiple cameras is an important aspect for machine vision systems operating in complex, natural environments. One successful approach for self–organized cue...
Adapting object recognition across domains: A demonstration (2001)
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus, Lehrstuhl Für Mustererkennung
Abstract. High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it difficult to...