图像分析的计算机体系结构

[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI:10.1109/ICPR.1988.28463

S. Levialdi

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引用次数: 12

摘要

作者回顾了一些利用处理能力、内存和图像数据输入/输出进行图像分析的并行处理项目。所涉及的系统包括ILLIAC、CLIP、MPP、细胞计算机、SNAP、PAPIA和II。回顾了并行性中的问题，包括并行性的类型、操作类型、处理元素的复杂性以及人类视觉的不同范例及其应用和实现。

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Computer architectures for image analysis

The author reviews a number of parallel-processing projects which use processing power, memory and input/output of image data for image analysis. The systems covered include ILLIAC, CLIP, MPP, the cytocomputer, SNAP, and PAPIA and II. Issues in parallelism reviewed include types of parallelism, types of operation, complexity of processing elements, and the different paradigms of human vision and their application and implementation.<>

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[1988 Proceedings] 9th International Conference on Pattern Recognition

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