Comparative Evaluation of Visualization and Experimental Results Using Image Comparison Metrics

Comparative evaluation of visualization and experiment results is a critical step in computational steering. In this paper, we present a study of image comparison metrics for quantifying the magnitude of difference between a visualization of a computer simulation and a photographic image captured from an experiment. We examined eleven metrics, including three spatial domain, four spatialfrequency domain and four HVS (human-vision system) metrics. Among these metrics, a spatial-frequency domain metric called 2nd-order Fourier comparison was proposed specifically for this work. Our study consisted of two stages: base cases and field trials. The former is a general study on a controlled comparison space using purposely selected data, and the latter involves imagery results from computational fluid dynamics and a rheological experiment. This study has introduced a methodological framework for analyzing image-level methods used in comparative visualization. For the eleven metrics consid...

• Type: Conference
• Year: 2002
• Where: VISUALIZATION
• Authors: Hualin Zhou, Min Chen, Mike F. Webster
• Keywords: 2nd-order Fourier Comparison, Comparison Metric, Image Comparison Metrics, Visualization, VISUALIZATION 2002