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GBRPR
2007
Springer

Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation

9 years 4 months ago
Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are well adapted to represent such information. Sequential methods for knowledge-based recognition of structures require to define in which order the structures have to be recognized. We propose to address this problem of order definition by developing algorithms that automatically deduce sequential segmentation paths from fuzzy spatial attribute graphs. As an illustration, these algorithms are applied on brain image understanding.
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GBRPR
Authors Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
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