Global Threshold computation using Otsu's Method

Version 1.0.0.0 (1.65 KB) by Reza Ahmadzadeh
Global Threshold computation using Otsu's Method
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Updated 10 Aug 2015

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Computes the global image threshold using Otsu's method by minimizing the
inter-class variance.
Inputs:

histogramCounts : is the histogram data of the image, that can be calculated
using `imhist` function.

total: is the total number of pixels that can be counted using the
`numel` function.

Output:
ll : is the level of the global threshold in [0 1]

Example:

consider the grayscale image is Ig

>> otsu(imhist(Ig),numel(Ig))
>> 04414

Cite As

Reza Ahmadzadeh (2024). Global Threshold computation using Otsu's Method (https://www.mathworks.com/matlabcentral/fileexchange/52437-global-threshold-computation-using-otsu-s-method), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2006b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0