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Implementation and use of an image processing algebra for programming massively parallel machines

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3 Author(s)
Wilson, J.N. ; Center for Comput. Vision Res., Florida Univ., Gainesville, FL, USA ; Fischer, G.R. ; Ritter, G.X.

The implementation and use of a machine-independent image-processing language, the AFATL (Air Force armament laboratory) image algebra, on a massively parallel machine is presented. The authors introduce the problem of specifying image-processing algorithms in a machine-dependent way, introduce the image algebra, provide an overview of how image algebra constructs are implemented in Connection Machine *lisp and provide examples of the use of image algebra for a variety of image-processing operations. The generality, level of portability, and efficiency of the existing implementation are discussed. Results show that the interpreted execution speed of image algebra code compares favorably with hand-coded versions of similar algorithms and that the implementation can be easily modified to add further functionality

Published in:

Frontiers of Massively Parallel Computation, 1988. Proceedings., 2nd Symposium on the Frontiers of

Date of Conference:

10-12 Oct 1988

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