An Investigation Into Intermediate-Level Image Processing Using A Tree-Connected Transputer Network

K. W. Chow; A. J. McCollum; B. G. Batchelor

doi:10.1117/12.949004

21 March 1989 An Investigation Into Intermediate-Level Image Processing Using A Tree-Connected Transputer Network

K. W. Chow, A. J. McCollum, B. G. Batchelor

Proceedings Volume 1004, Automated Inspection and High-Speed Vision Architectures II; (1989) https://doi.org/10.1117/12.949004
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

The regularity and local neighbourhood interdependence of picture data and the repetitive nature of many feature extraction algorithms may be usefully exploited in the design of specialised computer architectures for image processing at the pixel level. However, the features detected in the image will vary in type, number, position and size. The irregularity of this feature data prevents it from being easily partitioned. Also, at subsequent "intermediate" processing levels, various feature extraction, grouping and measurement algorithms will be employed. These are often more complex than low-level operations, and may be broken down into concurrently operating sub-processes. A more flexible multiprocessor architecture is therefore required, on to which a variety of algorithms can be mapped. This paper describes an augmented tree-structured MIMD processor network for intermediate level image processing. The Inmos Transputer has been chosen as the basic architectural building block. The programming and operation of the proposed architecture is illustrated using a Hough transform algorithm and a connected region finding routine.

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K. W. Chow, A. J. McCollum, and B. G. Batchelor "An Investigation Into Intermediate-Level Image Processing Using A Tree-Connected Transputer Network", Proc. SPIE 1004, Automated Inspection and High-Speed Vision Architectures II, (21 March 1989); https://doi.org/10.1117/12.949004

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KEYWORDS

Image processing

Array processing

Network architectures

Feature extraction

Computer programming

Hough transforms

Binary data

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