1 April 2006 Robust image binarization with ensembles of thresholding algorithms
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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.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Farid Melgani, "Robust image binarization with ensembles of thresholding algorithms," Journal of Electronic Imaging 15(2), 023010 (1 April 2006). https://doi.org/10.1117/1.2194767 . Submission:
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