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Proceedings Paper

Impact of multi-scale retinex computation on performance of segmentation algorithms
Author(s): Zia-ur Rahman; Daniel J. Jobson; Glenn A. Woodell; Glenn D. Hines
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Paper Abstract

Classical segmentation algorithms subdivide an image into its constituent components based upon some metric that defines commonality between pixels. Often, these metrics incorporate some measure of "activity" in the scene, e.g. the amount of detail that is in a region. The Multiscale Retinex with Color Restoration (MSRCR) is a general purpose, non-linear image enhancement algorithm that significantly affects the brightness, contrast and sharpness within an image. In this paper, we will analyze the impact the (MSRCR) has on segmentation results and performance.

Paper Details

Date Published: 15 July 2004
PDF: 12 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.543094
Show Author Affiliations
Zia-ur Rahman, College of William and Mary (United States)
Daniel J. Jobson, NASA Langley Research Ctr. (United States)
Glenn A. Woodell, NASA Langley Research Ctr. (United States)
Glenn D. Hines, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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