Quantitative image processing in fluid mechanics
Lambertus Hesselink, James L. Helman, Paul Ning · Experimental Thermal and Fluid Science · 1992
The current status of digital image processing in fluid flow research is reviewed. In particular, attention is given to a comprehensive approach to the extraction of quantitative data from multivariate databases and examples of recent developments. The discussion covers numerical simulations and experiments, data processing, generation and dissemination of knowledge, traditional image processing, hybrid processing, fluid flow vector field topology, and isosurface analysis using Marching Cubes.