Image processing benchmark study

John W. V. Miller; C. Eddy; Frederick M. Waltz; Ralf Hack; James Wood; D. Stokes

doi:10.1117/12.326968

6 October 1998 Image processing benchmark study

John W. V. Miller, C. Eddy, Frederick M. Waltz, Ralf Hack, James Wood, D. Stokes

Proceedings Volume 3521, Machine Vision Systems for Inspection and Metrology VII; (1998) https://doi.org/10.1117/12.326968
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

This paper describes the benchmarking of image processing algorithms using high-performance workstations and personal desktop computers. For the various platforms evaluated which included machines from Sun, SGI, Apple, and Gateway, compiler options were varied to obtain the fastest execution times. Algorithms evaluated included typical image processing operations such as derivatives, logical operations, morphology, subtraction, median filter, and the new SKIPSM approach. Data were collected using the different platforms and are presented here in tabular form. The results indicate that the latest generation of personal computers have processing capabilities that are similar to UNIX-based work stations.

Citation Download Citation

John W. V. Miller, C. Eddy, Frederick M. Waltz, Ralf Hack, James Wood, and D. Stokes "Image processing benchmark study", Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); https://doi.org/10.1117/12.326968

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