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Journal of Electronic Imaging

Robust image binarization with ensembles of thresholding algorithms
Author(s): Farid Melgani
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Paper Abstract

The effectiveness of a thresholding algorithm strongly depends on the image statistical characteristics. In a completely unsupervised context, this makes it difficult to choose the most appropriate algorithm to binarize a given image. This issue is considered through a novel thresholding strategy based on the fusion of an ensemble of different thresholding algorithms and formulated within a Markov random field (MRF) framework. The obtained experimental results suggest that in general the fusion of an ensemble of thresholding algorithms leads to a robust thresholding system, and in particular the proposed MRF strategy represents an effective solution to carry out the fusion process.

Paper Details

Date Published: 1 April 2006
PDF: 11 pages
J. Electron. Imag. 15(2) 023010 doi: 10.1117/1.2194767
Published in: Journal of Electronic Imaging Volume 15, Issue 2
Show Author Affiliations
Farid Melgani, Univ. degli Studi di Trento (Italy)

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