1 June 1994 Iterated facet model approach to background normalization
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mariusz Jankowski, "Iterated facet model approach to background normalization", Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); doi: 10.1117/12.177715; https://doi.org/10.1117/12.177715
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KEYWORDS
Image segmentation

Binary data

Error analysis

Image processing

Luminescence

Microscopy

Data modeling

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