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Proceedings Paper

Iterated facet model approach to background normalization
Author(s): Mariusz Jankowski
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Paper Abstract

Background normalization is a low-level image processing task typically used to enhance images by eliminating featureless, nonuniform background illumination. Automatic background normalization requires three distinct steps: threshold selection and segmentation, reconstruction of background image, and subtraction. This paper presents a new region-based thresholding criterion for background identification and normalization. Experimental results will be presented.

Paper Details

Date Published: 1 June 1994
PDF: 9 pages
Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); doi: 10.1117/12.177715
Show Author Affiliations
Mariusz Jankowski, Univ. of Southern Maine (United States)


Published in SPIE Proceedings Vol. 2238:
Hybrid Image and Signal Processing IV
David P. Casasent; Andrew G. Tescher, Editor(s)

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