Machine-independent image processing: performance of Apply on diverse architectures

R. S. Wallace, J. A. Webb, I-Chen Wu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


An obstacle standing in the way of widespread use of parallel computers for low-level vision is the lack of a programming language that can be mapped efficiently onto different computer architectures, suited for low-level vision. The Apply language has been designed and implemented to perform such operations. -after Author

Original languageEnglish
Pages (from-to)265-276
Number of pages12
JournalComputer Vision, Graphics, & Image Processing
Issue number2
StatePublished - 1 Jan 1989

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