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Proceedings Paper

Detection and segmentation of blobs using the Warwick multiple-SIMD architecture
Author(s): Timothy J. Atherton; G. R. Nudd; S. C. Clippingdale; N. D. Francis; D. J. Kerbyson; Roger A. Packwood; Y. K. So; G. J. B. Vaudin; D. W. Walton
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Paper Abstract

The Warwick Pyramid Machine (WPM) is an M-SIMD (Multiple-Single Instruction Multiple Data) heterogeneous pyramid architecture for image understanding. Details of the implementation are given. The properties and performance of the architecture are discussed. A generic image analysis task is the detection and identification of compact, convex, blob-like objects. The detection of such blobs is illustrated in detail with a modification of the circle Hough transform. This is shown to suit the global SIMD nature of the architecture. The subsequent stage of segmentation demonstrates the local processing capabilities of the M-SIMD architecture. The image analysis examples reported use forward-looking infrared images of vehicles, and electron micrographs of virus particles. In both cases the aim is to detect candidate regions of the image for further detailed analysis.

Paper Details

Date Published: 1 July 1990
PDF: 11 pages
Proc. SPIE 1246, Parallel Architectures for Image Processing, (1 July 1990); doi: 10.1117/12.19571
Show Author Affiliations
Timothy J. Atherton, Univ. of Warwick (United Kingdom)
G. R. Nudd, Univ. of Warwick (United Kingdom)
S. C. Clippingdale, Univ. of Warwick (United Kingdom)
N. D. Francis, Univ. of Warwick (United Kingdom)
D. J. Kerbyson, Univ. of Warwick (United Kingdom)
Roger A. Packwood, Univ. of Warwick (United Kingdom)
Y. K. So, Univ. of Warwick (United Kingdom)
G. J. B. Vaudin, Univ. of Warwick (United Kingdom)
D. W. Walton, Univ. of Warwick (United Kingdom)


Published in SPIE Proceedings Vol. 1246:
Parallel Architectures for Image Processing
Joydeep Ghosh; Colin G. Harrison, Editor(s)

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