Daniel Stanley Tan edited section_Otsu_s_Method_The__.tex  over 8 years ago

Commit id: 411ef4dcbf977db93de8209020cfd7c9d056dc75

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where  $$n_B(T) = \sum_{i=0}^{T-1}p(i)$$  $$n_O(T) = \sum_{i=T}{N-1}p(i)$$ \sum_{i=T}^{N-1}p(i)$$  $$\sigma^2_B(T) = \text{the variance of the pixels in the background (below the threshold)}$$  $$\sigma^2_O(T) = \text{the variance of the pixels in the foreground (above the threshold)}$$