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Simple Image Thresholding

version 1.3.0.0 (1.57 KB) by Jake Hughey
Simple method to calculate the threshold of an image

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Updated 20 Nov 2013

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This method first estimates a cutoff, then calculates the distribution of pixels within the cutoff in order to determine the final threshold.

I have found this method to work quite well for fluorescence microscopy images in which most of the pixels are background and the background is approximately gaussian.

There are a couple parameters than can be used to tune the threshold.

Cite As

Jake Hughey (2020). Simple Image Thresholding (https://www.mathworks.com/matlabcentral/fileexchange/44291-simple-image-thresholding), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Updates

1.3.0.0

Slight refinement to only use pixels below the cutoff for calculating the threshold.

1.2.0.0

Updated the description.

1.1.0.0

Fixed bug caused by mode not accepting integers.

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Ridler-Calvard image thresholding