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      • Department of Computer Engineering
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      Detection of compound structures using multiple hierarchical segmentations

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      Author
      Akçay, Hüseyin Gökhan
      Aksoy, Selim
      Date
      2014
      Source Title
      2014 22nd Signal Processing and Communications Applications Conference (SIU)
      Publisher
      IEEE
      Pages
      2062 - 2065
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      In this paper, we present a method for automatic compound structure detection in high-resolution images. Given a query compound structure, our aim is to detect coherent regions with similar spatial arrangement and characteristics in multiple hierarchical segmentations. A Markov random field is constructed by representing query regions as variables and connecting the vertices that are spatially close by edges. Then, a maximum entropy distribution is assumed over the query region process and selection of similar region processes among a set of region hierarchies is achieved by maximizing the query model. Experiments using WorldView-2 images show the efficiency of probabilistic modeling of compound structures. © 2014 IEEE.
      Keywords
      Markov processes
      Signal processing
      Compound structures
      Context modeling
      Hierarchical segmentation
      High resolution image
      Markov Random Fields
      Maximum entropy distribution
      Probabilistic modeling
      Spatial arrangements
      Query processing
      Permalink
      http://hdl.handle.net/11693/27119
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2014.6830666
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      • Department of Computer Engineering 1423
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