Local adaptive thresholding with GUI to help find best parameters.
Updated 22 Aug 2016
Local adaptive thresholding : using local mean and standard deviation for foreground segmentation.
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')
CY Y (2023). Local adaptive thresholding with GUI to help find best parameters. (https://github.com/joe-of-all-trades/localthresh), GitHub. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
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