Issue No.10 - Oct. (2014 vol.20)
Rephael Wenger , Department of Computer Science & Engineering, The Ohio State University, Columbus,
Large scale scientific simulations frequently use streamline based techniques to visualize flow fields. As the shape of a streamline is often related to some underlying property of the field, it is important to identify streamlines (or their parts) with unique geometric features. In this paper, we introduce a metric, called the box counting ratio, which measures the geometric complexity of streamlines by measuring their space-filling capacity at different scales. We propose a novel interactive visualization framework which utilizes this metric to extract, organize and visualize features of varying density and complexity hidden in large numbers of streamlines. The proposed framework extracts complex regions of varying density from the streamlines, and organizes and presents them on an interactive 2D information space, allowing user selection and visualization of streamlines. We also extend this framework to support exploration using an ensemble of measures including box counting ratio. Our framework allows the user to easily visualize and interact with features otherwise hidden in large vector field data. We strengthen our claims with case studies using combustion and climate simulation data sets.
Feature extraction, Complexity theory, Fractals, Spirals, Measurement, Vectors,multi-scale feature detection, Flow visualization, streamlines, fractal dimension, box counting ratio
Rephael Wenger, "Exploring Flow Fields Using Space-Filling Analysis of Streamlines", IEEE Transactions on Visualization & Computer Graphics, vol.20, no. 10, pp. 1392-1404, Oct. 2014, doi:10.1109/TVCG.2014.2312009