An Analysis of Computer Architectural Factors Contributing to Image Processor Capacity

A quantitative analysis is provided of how specific architectural features of image processors enhance the over-all algorithmic capacity of the corresponding vision system. Such features are discussed at a more detailed level than common SISD and MISD architectural categorizations. Metrics are presented to allow comparisons to be made between fundamentally different architectures.

[1]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[2]  T. Crimmins,et al.  Image Algebra and Automatic Shape Recognition , 1985, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Robert M. Lougheed.  A High Speed Recirculating Neighborhood Processing Architecture , 1985, Photonics West - Lasers and Applications in Science and Engineering.

[4]  Robert M. Lougheed,et al.  Multi-Processor Architectures For Machine Vision and Image Analysis , 1985, ICPP.