Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-27T14:14:47.220Z Has data issue: false hasContentIssue false

Special computer architectures for image analysis*

Published online by Cambridge University Press:  09 March 2009

K. S. Fu
Affiliation:
School of Electrical Engineering, Purdue University, W. Lafayette, IN 47907 (USA)

Summary

With the recent advances of VLSI technology, it has become possible to realize parallel architectures for image processing which are more efficient than the customary sequential processors. The paper discusses general architectural requirements for parallel processing and then the existing systems architectures. This is followed by a description of VLSI devices for image processing in three examples. The paper emphasizes VLSI architectures for image feature extraction, classification and structure (syntax) analysis.

Type
Article
Copyright
Copyright © Cambridge University Press 1984

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Special Issue of COMPUTER on “Robotics and Automation” 15 (12 1982).Google Scholar
2.Fu, K.S., “Special Computer Architectures for Pattern Recognition and Image Processing - An Overview,” Proc. 1978 AFIPS National Computer Conference 10031013 (1978).Google Scholar
3.Duff, M.J.B. and Levialdi, S. (eds.), Languages and Architectures for Image Processing (Academic Press, New York, 1981).Google Scholar
4.Danielsson, P.E. and Levialdi, S., “Computer Architectures for Pictorial Information SystemsCOMPUTER 14 (11 1981).Google Scholar
5.Preston, K. and Uhr, L. (eds.), Multicomputers and Image Processing (Academic Press, New York, 1982).Google Scholar
6.Fu, K.S. and Ichikawa, T. (eds.), Special Computer Architectures for Pattern Processing (CRC Press, London, 1982).Google Scholar
7. Special Issue of COMPUTER on “Computer Architectures for Image Processing” 16 (01 1983).Google Scholar
8.Hwang, K. and Su, S.P., “VLSI Architectures for Feature Extraction and Pattern ClassificationComputer Graphics and Image Processing 24, 215228 (1983).CrossRefGoogle Scholar
9.Liu, H.H. and Fu, K.S., “VLSI Architectures for Minimum-Distance Classification” Proc. 1983 IEEE International Conference on Computer Design/VLSI in Computers New York (10 31–11 3, 1983).Google Scholar
10.Fu, K.S., Syntactic Pattern Recognition and Applications (Prentice-Hall, New York, 1982).Google Scholar
11.Chu, K.H. and Fu, K.S., “VLSI Architectures for High- Speed Recognition of General Context-Free and FinitcState Languages” Proc. 9th International Symposium on Computer Architectures Austin, Texas (04, 1982).Google Scholar
12.Chiang, Y.T. and Fu, K.S., “A VLSI Architecture for Fast Context-Free Language Recognition (Earley's Algorithm)” Proc. 3rd International Conference on Distributed Computing Systems Miami, Florida (10 18–22, 1982).Google Scholar
13.Chiang, Y.T. and Fu, K.S., “Parallel Parsing Algorithms and VLSI Implementations for Syntactic Pattern RecognitionIEEE Trans. Pattern Analysis and Machine Intelligence PAMI-6, No. 3 (05 1984).Google Scholar
14.Fu, K.S., VLSI for Pattern Recognition and Image Processing (Springer-Verlag, Berlin, 1984).Google Scholar
15.Cheng, H.D., Lin, W.C. and Fu, K.S., “Space-Time Domain Expansion Approach to VLSI and Its Application to Hierarchical Scene Matching” Tech. Rept. TR-EE 83–29, Purdue University (07 1983).Google Scholar