Robust image binarization with ensembles of thresholding algorithms
- 1 April 2006
- journal article
- Published by SPIE-Intl Soc Optical Eng in Journal of Electronic Imaging
- Vol. 15 (2), 023010-023010-11
- https://doi.org/10.1117/1.2194767
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.Keywords
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