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Proceedings Paper

Investigation of the use of high-performance computing for multiscale color image smoothing using mathematical morphology
Author(s): Gregory W. Cook; Mary L. Comer; Edward J. Delp
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Paper Abstract

The use of mathematical morphology in low- and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in color images. These techniques have shown to be useful in image enhancement, segmentation, and analysis. In this paper, we develop and test scalable parallel algorithms necessary to implement a class of morphological filters on a parallel computer, specifically, the MasPar MP-1. We examine the issues relative to the parallel implementation of the algorithms and show that real-time enhancement of high resolution color images is possible.

Paper Details

Date Published: 10 June 1993
PDF: 11 pages
Proc. SPIE 1904, Image Modeling, (10 June 1993); doi: 10.1117/12.146683
Show Author Affiliations
Gregory W. Cook, Purdue Univ. (United States)
Mary L. Comer, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 1904:
Image Modeling
Lawrence A. Ray; James R. Sullivan, Editor(s)

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