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Conference Papers Year : 2013

PaTHOS: Part-based Tree Hierarchy for Object Segmentation

Abstract

The problem we address in this paper is the segmentation and hierarchical grouping in digital images. In terms of image acquisition protocol, no constraints are posed to the user. At first, a histogram thresholding provides numerous segments where a homogeneity criterion is respected. Segments are merged together using similarity properties and aggregated in a hierarchy based on spatial inclusions. Shape and color features are extracted on the produced segments. Tests performed on Oxford Flower 17 show that our method outperforms a similar one and allow the relevant object selection from the hierarchy. In our case, this approach represents the first stage towards flower variety identification.
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Dates and versions

hal-01339200 , version 1 (29-06-2016)

Identifiers

  • HAL Id : hal-01339200 , version 1

Cite

Loreta Suta, Mihaela Scuturici, Vasile-Marian Scuturici, Serge Miguet. PaTHOS: Part-based Tree Hierarchy for Object Segmentation. International Conference on Computer Analysis of Images and Patterns (CAIP), Aug 2013, York, United Kingdom. pp.393-400. ⟨hal-01339200⟩
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