On distances, paths and connections for hyperspectral image segmentation

Guillaume Noyel; Jesus Angulo; Dominique Jeulin

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arXiv · 1603.08497

On distances, paths and connections for hyperspectral image segmentation

Guillaume Noyel·Jesus Angulo·Dominique Jeulin

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Abstract

The present paper introduces the $\eta$ and {\eta} connections in order to add regional information on $\lambda$-flat zones, which only take into account a local information. A top-down approach is considered. First $\lambda$-flat zones are built in a way leading to a sub-segmentation. Then a finer segmentation is obtained by computing $\eta$-bounded regions and $\mu$-geodesic balls inside the $\lambda$-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. $\eta$-bounded regions offers a control on the variations of amplitude in the class from a point, called center, and $\mu$-geodesic balls controls the "size" of the class. These results are applied to hyperspectral images.

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Guillaume Noyel, Jesus Angulo, Dominique Jeulin. 2016-02-02. On distances, paths and connections for hyperspectral image segmentation. https://arxiv.org/abs/1603.08497

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