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Binary Thresholding function

Overview

When a raster dataset has a bimodal distribution, this function creates a new raster that divides the data into two distinct classes. It creates a low value class displayed with black pixels, and a high value class displayed with white pixels.

Notes

The algorithm used is the Otsu method, which was designed to distinguish between the background and foreground in imagery and create two classes with minimal intra-class variance (Otsu 1979).

Parameters

ParameterDescription

Raster

The input raster.

References

Otsu, Nobuyuki, A Threshold Selection Method from Gray-Level Histograms, IEEE Transactions on Systems, Man, And Cybernetics 9, no. 1 (1979): 62–66.

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