An architecture independent programming language for low-level vision

L. G C Hamey, J. A. Webb, Wu I-Chen Wu

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Low-level vision is particularly useful in implementation on parallel architectures. To take advantage of this, the algorithm must be adapted to the particular parallel architecture. We have developed a specialized programming language, Apply, which reduces the problem of writing the algorithm for this class of programs to the task of writing the function to be applied to a window around a single pixel. We describe implementations of Apply on Warp, various Warp-like architectures, UNIX, and the Hughes HBA and sketch implementations on bit-serial processor arrays and distributed memory machines. -after Author

Original languageEnglish
Pages (from-to)246-264
Number of pages19
JournalComputer Vision, Graphics, & Image Processing
Issue number2
Publication statusPublished - 1989
Externally publishedYes


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