Local adaptive thresholding with GUI to help find best parameters.

version 1.0.0.0 (46 KB) by CY Y
Local adaptive thresholding based on local mean and standard deviation.

453 Downloads

Updated 22 Aug 2016

From GitHub

View License on GitHub

Local adaptive thresholding : using local mean and standard deviation for foreground segmentation.
Two usage:
Using GUI to find best parameter and perform thresholding.

[ bw, params ] = localthreshGUI(img) takes img and displays it and segmented image.

Upon existing GUI program, binary image (bw) and parameters for localthresholding (params) are returned.

Using the function without GUI.

bw = localthresh(img, ssize, msize, sthresh, mthresh) performs local threshing holding on image.

ssize : filter size for standard deviation filter. msize : filter size for mean filter sthresh : threshold for standard deviation ( in fold number relative to local standard deviation ) mthresh : threshold for mean ( in fold number relative to local mean )

Type in the following to try it :

%load built-in rice image
img = imread('rice.png')
localthreshGUI(img)

Cite As

CY Y (2022). Local adaptive thresholding with GUI to help find best parameters. (https://github.com/joe-of-all-trades/localthresh), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.