Paper
29 June 1994 Single-instruction multiple-data (SIMD) parallel optical computation of high-level image operations
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Abstract
In this paper, we extend our earlier work in image algebra (IA)-based optical processing to the optical computation of high-level image operations (HLIOs) such as connected component labelling, determining component adjacency graphs, finding corresponding points in stereo pair images, and computing the Euler number. In particular, we transform an IA expression that describes a given image procedure into the dataflow graph of the corresponding MEA-conformable (Multiple Execution Array) architecture. From the MEA dataflow graph, we deduce the components and connectivity of a corresponding optical processor. Analyses emphasize computational cost inclusive of propagation time, as well as information loss expected from optical devices such as Spatial Light Modulators.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark S. Schmalz "Single-instruction multiple-data (SIMD) parallel optical computation of high-level image operations", Proc. SPIE 2240, Advances in Optical Information Processing VI, (29 June 1994); https://doi.org/10.1117/12.179122
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KEYWORDS
Image processing

Image compression

Computer architecture

Spatial light modulators

Optical design

Optical components

Convolution

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