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Abstract: An edge detection process in computer vision and image processing detects any types of significant features appearing as discontinuities in intensities. This paper presents our experience with parallelizing an edge detection application algorithm that reduces noise and unnecessary detail in a gray-scale image from a coarse level to a fine level of resolution by using an edge focusing technique. Numerical methods and parallel implementations of edge focusing are presented. The image detection... (Update)
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...perhaps a comparison of results for different architectures. Examples of this type of paper can be found in [Ford95] for shared memory, [Zhang94] for message passing, and [Hill96] for BSP. Recent N body literature contains several works examining parallel implementations,...
...can be reconstructed from its edge map. In the past, various edge detection algorithms were proposed (e.g. Bergholm87] Tian00] and [Zhang94]) In this paper, we present a method for edge detection. Our image algebra is established on a mimic Spiral Architecture and the...
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BibTeX entry: (Update)
@inproceedings{ zhang94distributed,
author = "Zhang, X. and Hong, D.",
title = "{D}istributed image edge detection methods and performance",
booktitle = "Proceedings of the Sixth {IEEE} Symposium on Parallel and Distributed Processing ({SPDP} 94)",
month = "Oct",
publisher = "IEEE CS Press",
year = "94",
url = "citeseer.ist.psu.edu/zhang94distributed.html" }
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328 PVM3 User's Guide and Reference Manual - Geist - 1993
30 Edge focusing (context) - Bergholm - 1987
28 Communication and computation performance of the CM-5 - Kwan, Totty et al. - 1993
13 How to get good performance from the CM-5 data network (context) - Brewer, Kuszmaul - 1994
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