On distances, paths and connections for hyperspectral image segmentationReport as inadecuate

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1 CMM - Centre de Morphologie Mathématique

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.

Keywords : Hyperspectral image analysis Multivariate image analysis multivariate segmentation μ-geodesic ball η-bounded regions connection quasi-flat zone mathematical morphology hyperspectral image top-down aggregation

Author: Guillaume Noyel - Jesus Angulo - Dominique Jeulin -

Source: https://hal.archives-ouvertes.fr/


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