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Image Registration for Biomedical Images on Irregular Grids

Abstract : (100-200 mots) : Microendoscope with spiral scanning produces images on irregular grids [5]. We propose a novel image registration strategy on irregular grids using Graph Wavelet (GW) constraint under the Log-Demons framework. The GW transformation is flexible to apply to different types of data regardless of the data point densities and how complex the data structure is. We also show how the Log-Demons framework can be adapted to optimize the objective function defined for images on irregular grids. Our results compare the performance of our method on irregular grid with the existing methods on a regular grid. To the best of our knowledge, this research is the first study on image registration on an irregular grid. Mots-clefs (3 à 5 max.
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Contributor : David Helbert <>
Submitted on : Monday, March 22, 2021 - 1:06:59 PM
Last modification on : Tuesday, March 23, 2021 - 7:16:17 AM


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  • HAL Id : hal-01897326, version 1



Hong Nhung Pham, David Helbert, Pascal Bourdon, Philippe Carré. Image Registration for Biomedical Images on Irregular Grids. CORESA 2018 (COmpression et REprésentation des Signaux Audiovisuels, Nov 2018, Poitiers, France. ⟨hal-01897326⟩



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