A smooth density model is derived for the data with logspline. Based on the density peaks and valleys are detected and the final threshold is defined as the valley (if available) with the highest x value.
1 | threshold_valleys(x, x_eval = 101, ...)
|
x |
vector of (pixel) gray levels to be thresholded |
x_eval |
... |
... |
arguemnts passed to peaks_and_valleys |
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