Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation

13 years 10 months ago

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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

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