Fritz Schlunegger

Introducing ImageGrains 2.0 for improved grain size and shape measurements in 2D and 3D data from images of sediment

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis et autres

Obtaining information on the size and shape of individual sediment grains is fundamental to many geoscientific applications, as these properties provide insights into sediment transport and depositional processes. Conventional approaches for grain size and shape analysis rely on manual or semi-automated workflows …

ch, br, de, es, nz, at (code pays fourni par la source)

Supplementary material to "ImageGrains 2.0: Improved precision and generalization for grain segmentation"

David M. Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis et autres

statistics for the IG2 dataset.

ImageGrains 2.0: Improved precision and generalization for grain segmentation

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis et autres

Abstract. Recent advances in deep-learning–based image segmentation have enabled the development of automated approaches to detect individual grains and measure them for geoscientific applications. These methods facilitate the creation of much larger and more precise datasets than traditional manual grain measurements. However, …

ch, br, de, es, nz, at (code pays fourni par la source)