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Image processing/Pattern recognition Geoffroy Fouquier and Jamal Atif and Isabelle Bloch. Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation. in the proceedings of the 6th IAPR TC-15 Workshop on Graph-based Representations in Pattern Recognition LNCS 4538, pages 138-147, ISBN: 978-3-540-72902-0 Alicante, Spain june 11-13, 2007

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.


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PublicationForm
Logo: Image processing/Pattern recognition
Category: ImageProcessing
Title: Local reasoning in fuzzy attribute graphs for optimizing sequential segmentation
Authors: Geoffroy Fouquier and Jamal Atif and Isabelle Bloch
Type: InConference
Whereprefix: in the proceedings of
Where: the 6th IAPR TC-15 Workshop on Graph-based Representations in Pattern Recognition
Ref: LNCS 4538, pages 138-147, ISBN: 978-3-540-72902-0
Place: Alicante, Spain
Date: june 11-13, 2007
Note:  
Lang: english
Keywords:  
Status: published


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