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Patch-based field-of-view matching in multi-modal images for electroporation-based ablations
Luc Lafitte, Rémi Giraud, Cornel Zachiu +6
Various multi-modal imaging sensors are currently involved at different steps of an interventional therapeutic work-flow. Cone beam computed tomography (CBCT), computed tomography…
Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images
Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu
Most of existing superpixel methods are designed to segment standard planar images as pre-processing for computer vision pipelines. Nevertheless, the increasing number of applicati…
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors
Rémi Giraud, Merlin Boyer, Michaël Clément
Over-segmentation into superpixels is a very effective dimensionality reduction strategy, enabling fast dense image processing. The main issue of this approach is the inherent irre…
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching
Rémi Giraud, Yannick Berthoumieu
Superpixels are widely used in computer vision applications. Nevertheless, decomposition methods may still fail to efficiently cluster image pixels according to their local texture…