Browsing by Subject "Image segmentation"

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  • Active shape model precision analysis of vehicle detection in 3D lidar point clouds 
    Busch, S. (Göttingen : Copernicus GmbH, 2019)
    LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses ...
  • Adaptation of Deeplab V3+ for Damage Detection on Port Infrastructure Imagery 
    Scherff, M.; Hake, F.; Alkhatib, H. (Katlenburg-Lindau : Copernicus Publications, 2023)
    Regular inspection and maintenance of infrastructure facilities are crucial to ensure their functionality and safety for users. However, current inspection methods are labor-intensive and can vary depending on the inspector. ...
  • Assessing temporal behavior in lidar point clouds of urban environments 
    Schachtschneider, Julia; Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2017)
    Self-driving cars and robots that run autonomously over long periods of time need high-precision and up-to-date models of the changing environment. The main challenge for creating long term maps of dynamic environments is ...
  • Automated extraction of the Antarctic coastline using snakes 
    Klinger, T.; Heipke, Christian; Ott, N.; Schenke, H.W.; Ziems, M. (Göttingen : Copernicus GmbH, 2010)
    In this paper we present an automatic approach for coastline detection from images which is based on parametric active contours (snakes). Snakes require the definition of an energy functional that reflects the underlying ...
  • Automated method for structural segmentation of nasal airways based on cone beam computed tomography 
    Tymkovych, Maksym Yu; Avrunin, Oleg G.; Paliy, Victor G.; Filzow, Maksim; Gryshkov, Oleksandr; Glasmacher, Birgit; Omiotek, Zbigniew; Dzierlak, Roza; Smailova, Saule; Kozbekova, Ainur (Bellingham, Wash. : SPIE, 2017)
    The work is dedicated to the segmentation problem of human nasal airways using Cone Beam Computed Tomography. During research, we propose a specialized approach of structured segmentation of nasal airways. That approach ...
  • Biomechanical Effects of a Cross Connector in Sacral Fractures – A Finite Element Analysis 
    Gierig, Meike; Liu, Fangrui; Weiser, Lukas; Lehmann, Wolfgang; Wriggers, Peter; Marino, Michele; Saul, Dominik (Lausanne : Frontiers Media, 2021)
    Background: Spinopelvic fractures and approaches of operative stabilization have been a source of controversial discussion. Biomechanical data support the benefit of a spinopelvic stabilization and minimally invasive ...
  • Cochlear shape description and analyzing via medial models 
    Gaa, Johannes; Kahrs, Lüder Alexander; Müller, Samuel; Majdani, Omid; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2015)
    Planning and analyzing of surgical interventions are often based on computer models derived from computed tomography images of the patient. In the field of cochlear implant insertion the modeling of several structures of ...
  • Contextual classification of point clouds using a two-stage CRF 
    Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: ...
  • Digital image processing algorithms for automated inspection of dynamic effects in roller bearings 
    Altmann, Bettina; Pape, Christian; Reithmeier, Eduard (Bellingham, Wash. : SPIE, 2017)
    Unstable movement in roller bearings like cage or roller slip can lead to damages or eventually even to an early break of the bearing. To prevent slip, inadequate operating states should be avoided. Therefore, it is necessary ...
  • Exploring ALS and DIM data for semantic segmentation using CNNs 
    Politz, F.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2018)
    Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne ...
  • Feature tracking for automated volume of interest stabilization on 4D-OCT images 
    Laves, Max-Heinrich; Schoob, Andreas; Kahrs, Lüder Alexander; Pfeiffer, Tom; Huber, Robert; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2017)
    A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as ...
  • Hand hygiene monitoring based on segmentation of interacting hands with convolutional networks 
    Dietz, Armin; Pösch, Andreas; Reithmeier, Eduard (Bellingham, Wash. : SPIE, 2018)
    The number of health-care associated infections is increasing worldwide. Hand hygiene has been identified as one of the most crucial measures to prevent bacteria from spreading. However, compliance with recommended procedures ...
  • Integration of prior knowledge into dense image matching for video surveillance 
    Menze, Moritz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more ...
  • Methods for a fusion of Optical Coherence Tomography and stereo camera image data 
    Bergmeier, Jan; Kundrat, Dennis; Schoob, Andreas; Kahrs, Lüder Alexander; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2015)
    This work investigates combination of Optical Coherence Tomography and two cameras, observing a microscopic scene. Stereo vision provides realistic images, but is limited in terms of penetration depth. Optical Coherence ...
  • Temperature measurements on fast-rotating objects using a thermographic camera with an optomechanical image derotator 
    Altmann, Bettina; Pape, Christian; Reithmeier, Eduard (Bellingham, Wash. : SPIE, 2017)
    Increasing requirements concerning the quality and lifetime of machine components in industrial and automotive applications require comprehensive investigations of the components in conditions close to the application. ...
  • Tropical Agrarian landscape classification using high-resolution GeoEYE data and segmentationbased approach 
    Nagabhatla, Nidhi; Kühle, Peter (Firenze : Associazione Italiana di Telerilevamento, 2016)
    We examine the use of high spatial resolution ‘GeoEYE’ imagery for land use classification in a tropical landscape. Image objects (I-Os) derived from features identification provide a basis for segmentation process and the ...
  • A two-layer Conditional Random Field model for simultaneous classification of land cover and land use 
    Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due ...