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

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

研究成果: Article同行評審

8 引文 斯高帕斯(Scopus)

摘要

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

原文English
頁(從 - 到)265-276
頁數12
期刊Computer Vision, Graphics, & Image Processing
48
發行號2
DOIs
出版狀態Published - 1 1月 1989

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