Fast Histogram Based Image Binarization Using the Monte Carlo Threshold Estimation

In the paper the idea of universal fast image binarization method is discussed which utilizes the histogram estimation using the Monte Carlo approach. Proposed reduction of the computational burden dependent on the number of analyzed pixels may be useful especially in real-time and embedded systems with limited amount of memory and processing power. An additional advantage of such simplified approach is relatively easy implementation independently on the used programming language.

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