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ON MINIMUM SPANNING TREE STREAMING FOR IMAGE ANALYSIS

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Résumé

This work addresses minimum spanning tree (MST) construction in streaming for images. We study the problem of computation a MST on streaming in which image columns from a continuous stream are processed in blocks of a given size. The correctness of proposed algorithm is proved and confirmed in the case of morphological segmentation of remote sensing images.
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Dates et versions

hal-01985579 , version 1 (18-01-2019)

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Leonardo Gigli, Santiago Velasco-Forero, Beatriz Marcotegui. ON MINIMUM SPANNING TREE STREAMING FOR IMAGE ANALYSIS. 25th IEEE International Conference on Image Processing (ICIP 2018), IEEE, Oct 2018, Athènes, Greece. ⟨10.1109/ICIP.2018.8451715⟩. ⟨hal-01985579⟩
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