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Vision, Modeling, and Visualization (2010) Reinhard Koch, Andreas Kolb, Christof Rezk-Salama (Eds.)

Summary: Vision, Modeling, and Visualization (2010)
Reinhard Koch, Andreas Kolb, Christof Rezk-Salama (Eds.)
Gerbil­A Novel Software Framework for Visualization and
Analysis in the Multispectral Domain
J. Jordan & E. Angelopoulou
Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany
Multispectral imaging has been gaining popularity and has been gradually applied to many fields besides remote
sensing. Multispectral data provides unique information about material classification and reflectance analysis in
general. However, due to the high dimensionality of the data, both human observers as well as computers, have
difficulty interpreting this wealth of information. We present a new software package that facilitates the visualization
of the relationship between spectral and topological information in a novel fashion. It puts emphasis on the spectral
gradient, which is shown to provide enhanced information for many reflectance analysis tasks. It also includes a
rich toolbox for evaluation of image segmentation and other algorithms in the multispectral domain. We combine
the parallel coordinates visualization technique with hashing for a highly interactive visual connection between
spectral distribution, spectral gradient and topology. The framework is released as open-source, has a modern
cross-platform design and is well integrated into existing established computer vision software (OpenCV).
Categories and Subject Descriptors (according to ACM CCS): I.4.8 [Image Processing and Computer Vision]: Scene
1. Introduction


Source: Angelopoulou, Elli - Department of Computer Science, Friedrich Alexander University Erlangen Nürnberg


Collections: Computer Technologies and Information Sciences