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Junction Detection and Multi-orientation Analysis Using Streamlines.
- Source :
- Computer Analysis of Images & Patterns (9783540742715); 2007, p718-725, 8p
- Publication Year :
- 2007
-
Abstract
- We present a novel method to detect multimodal regions composed of linear structures and measure the orientations in these regions, i.e. at line X-sings, T-junctions and Y-forks. In such complex regions an orientation detector should unmix the contributions of the unimodal structures. In our approach we first define a (streamline) divergence metric and apply it to our streamline field to detect junctions. After this step we select all streamlines that intersect a circle of radius r around the junction twice, cluster the intersection points and compute the direction per cluster. This yields a multimodal descriptor of the local orientations in the vicinity of the detected junctions. The method is suited for global analysis and has moderate memory requirements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540742715
- Database :
- Complementary Index
- Journal :
- Computer Analysis of Images & Patterns (9783540742715)
- Publication Type :
- Book
- Accession number :
- 33316548
- Full Text :
- https://doi.org/10.1007/978-3-540-74272-2_89