Abstract
Parallel processing appears as the only solution to the performance bottleneck of current industrial vision systems, mostly based on Von-Neumann processors. In this paper two of the most common approaches to date are analyzed from a point of view of cost-effectiveness; SIMD arrays are more flexible, simpler to design, and have lower latency than pipeline processors. FAMA, a new SIMD array based architecture is introduced whose main features are cost-effectiveness at the processor element level, and applicability to different levels of processing.
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© 1988 Plenum Press, New York
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Alcolea, A. et al. (1988). A Cost-Effective Architecture for Vision. In: Cantoni, V., Di Gesù, V., Levialdi, S. (eds) Image Analysis and Processing II. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1007-5_42
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DOI: https://doi.org/10.1007/978-1-4613-1007-5_42
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8289-1
Online ISBN: 978-1-4613-1007-5
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