title: A spectral optical flow method for determining velocities from digital imagery.
abstract: We present a method for determining surface flows from solar images based upon optical flow techniques. We apply the method to sets of images obtained by a variety of solar imagers to assess its performance. The opflow3d procedure is shown to extract accurate velocity estimates when provided perfect test data and quickly generates results consistent with completely distinct methods when applied on global scales. We also validate it in detail by comparing it to an established method when applied to high-resolution datasets and find that it provides comparable results without the need to tune, filter or otherwise preprocess the images before its application.
authors: Lockheed Martin Advanced Technology Center, A021S, Building 252, 3251 Hanover Street, Palo Alto, CA 94304 USA.
authors: Neal
authors: N
authors: Hurlburt
authors: Lockheed Martin Advanced Technology Center, A021S, Building 252, 3251 Hanover Street, Palo Alto, CA 94304 USA.
authors: Steve
authors: S
authors: Jaffey
keywords: Computing vision; Image processing software; Motion; Series expansion methods; Time-varying imagery