Statistics – Applications
Scientific paper
Oct 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3164..466e&link_type=abstract
Proc. SPIE Vol. 3164, p. 466-473, Applications of Digital Image Processing XX, Andrew G. Tescher; Ed.
Statistics
Applications
Scientific paper
We have developed a new architecture for computer vision which is a multi-level, MIMD machine. It is a homogenous system where the control unit, processing arrays and image store are all built using the same type of digital signal processor (DSP). DSPs provide satisfactory performance at low-level and intermediate-level image processing and make the construction of a homogenous system possible the processing array of the system consists of three linear arrays. Each linear array is dedicated to one image processing type. The system has a modular design and it can be expanded easily. The overall system design utilizes distributed memory MIMD paradigm. The system is benchmarked with some low- and immediate-level image processing algorithms such as convolution, edge finding. Hough transform etc. and results are presented.
Demokan Suleyman M.
Ercan Fikret M.
Fung Yu-Fai
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