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1996
IEEE

Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study

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Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study
This paper presents e cient and portable implementations of a useful image enhancement process, the Symmetric Neighborhood Filter SNF, and an image segmentation technique which makes use of the SNF and a variant of the conventional connected components algorithm which we call -Connected Components. Our general framework is a single-address space, distributed memory programming model. We use e cient techniques for distributing and coalescing data as well as e cient combinations of task and data parallelism. The image segmentation algorithm makes use of an e cient connected components algorithm which uses a novel approach for parallel merging. The algorithms have been coded in Split-C and run on a variety of platforms, including the Thinking Machines CM-5, IBM SP-1 and SP-2, Cray Research T3D, Meiko Scienti c CS-2, Intel Paragon, and workstation clusters. Our experimental results are consistent with the theoretical analysis and provide the best known execution times for segmentation, ev...
David A. Bader, Joseph JáJá, David H
Added 07 Aug 2010
Updated 07 Aug 2010
Type Conference
Year 1996
Where IPPS
Authors David A. Bader, Joseph JáJá, David Harwood, Larry S. Davis
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