Niblack local thresholding
Version 1.1.0.0 (256 KB) by
Jan Motl
A traditional local image thresholding.
This is an implementation of a traditional Niblack local image thresholding with an integral image method, which guarantees constant computation time regardless of the neighborhood size.
The method can be described like:
if pixel > (mean + k * standard_deviation)
pixel = object;
else
pixel = background;
end
Cite As
Jan Motl (2026). Niblack local thresholding (https://www.mathworks.com/matlabcentral/fileexchange/40849-niblack-local-thresholding), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R13
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Import, Export, and Conversion > Image Type Conversion >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
Find more on Image Type Conversion in Help Center and MATLAB Answers
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