Enhancement of flow-like structures in hyperspectral imagery using tensor nonlinear anisotropic diffusion
Maider Marin-McGee, Miguel Vélez-Reyes · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Analyzing flow-like patterns in images for image understanding is an active research area but there have been much less attention paid to the process of enhancement of those structures. The completion of interrupted lines or the enhancement of flow-like structures is known as Coherence-Enhancement (CE). In this work, we are studying nonlinear anisotropic diffusion filtering for coherence enhancement. Anisotropic diffusion is commonly used for edge enhancement by inhibiting diffusion in the direction of highest spatial fluctuation. For CE, diffusion is promoted along the direction of lowest spatial fluctuation in a neighborhood thereby taking into account how strongly the local gradient of the structures in the image is biased towards that direction. Results of CE applied multispectral and hyperspectral images are presented.