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Conference papers

On distances, paths and connections for hyperspectral image segmentation

Abstract : The present paper introduces the η and µ connections in order to add regional information on λ-flat zones, which only take into account a local information. A top-down approach is considered. First λ-flat zones are built in a way leading to a sub-segmentation. Then a finer segmentation is obtained by computing η-bounded regions and μ-geodesic balls inside the λ-flat zones. The proposed algorithms for the construction of new partitions are based on queues with an ordered selection of seeds using the cumulative distance. η-bounded regions offers a control on the variations of amplitude in the class from a point, called center, and μ-geodesic balls controls the "size'' of the class. These results are applied to hyperspectral images.
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Contributor : Guillaume Noyel Connect in order to contact the contributor
Submitted on : Friday, January 29, 2016 - 5:38:29 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:13 PM
Long-term archiving on: : Friday, November 11, 2016 - 6:38:42 PM


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  • HAL Id : hal-01264013, version 1
  • ARXIV : 1603.08497


Guillaume Noyel, Jesus Angulo, Dominique Jeulin. On distances, paths and connections for hyperspectral image segmentation. 8th International Symposium on Mathematical Morphology (ISMM 2007), Oct 2007, Rio de Janeiro, Brazil. pp.399-410. ⟨hal-01264013⟩



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