1 April 2006 Robust image binarization with ensembles of thresholding algorithms
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J. of Electronic Imaging, 15(2), 023010 (2006). doi: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.
Farid Melgani, "Robust image binarization with ensembles of thresholding algorithms," Journal of Electronic Imaging 15(2), 023010 (1 April 2006). http://dx.doi.org/10.1117/1.2194767
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KEYWORDS
Image fusion

Magnetorheological finishing

Fusion energy

Image processing

Binary data

Image quality

Surface plasmons

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