Enlacement and interlacement shape descriptors - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

Enlacement and interlacement shape descriptors


We propose a novel approach to characterize complex 2D shapes based on enlacement and interlacement directional spatial relations. This new relational concept allows to assess in a polar space how the concave parts of objects are intertwined following a set of directions. In addition, such a spatial relationship has an interesting behavior considering the common properties in pattern recognition such as translation, rotation, scale and symmetry. A shape descriptor is defined by considering the enlacement of its own shape and the disk area that surrounds it. An experimental study carried out on two datasets of binary shapes highlights the discriminating ability of these new shape descriptors.
Fichier principal
Vignette du fichier
icprai2020.pdf (621.57 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-02492607 , version 1 (27-02-2020)


  • HAL Id : hal-02492607 , version 1


Michaël Clément, Camille Kurtz, Laurent Wendling. Enlacement and interlacement shape descriptors. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2020, Zhongshan, China. ⟨hal-02492607⟩
80 View
106 Download


Gmail Mastodon Facebook X LinkedIn More