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ThresholdLocally

version 1.4.0.1 (2.86 KB) by Brett Shoelson
Performs LOCAL Otsu thresholding on an image, with a user-specified blocksize.

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Updated 01 Sep 2016

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Performs LOCAL Otsu thresholding on an image; user can specify blocksize. Facilitates the threshold-segmentation of images with uneven illumination, without the need for background normalization.

SYNTAX: B = thresholdLocally(A,blksz,varargin)

THRESHOLDLOCALLY processes an image, calling graythresh on LOCAL blocks in an image. This facilitates easy thresholding of images with uneven background illumination, for which global thresholding is inadequate. Uses the Image Processing Toolbox function BLOCKPROC (R2009b).

INPUTS:
A: Any image (or path/name of an image) suitable for processing with im2bw()
BLKSZ: (Optional) Block size of A, for determination of Otsu thresholding using graythresh(). In the form or [M,N]. Default is as determined by BESTBLK.
OPTIONAL:
1) Any P-V pair accepted by BLOCKPROC.
2) FudgeFactor: a scalar value by which to multiply the local value returned by graythresh.

OUTPUT:
B: Output image

EXAMPLE:
img = imread('rice.png');
thresholded = thresholdLocally(img);

Cite As

Brett Shoelson (2020). ThresholdLocally (https://www.mathworks.com/matlabcentral/fileexchange/29764-thresholdlocally), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (7)

jia zheng

Brett Shoelson

@Chad,
There's no paper to steer you to, except for the same one cited in the <graythresh> doc. I simply used the architecture of blockproc, and called graythresh (Otsu's method) on each local block.
Brett

Chad

Could you tell me that your code is related to which paper?

sara

Nad

Brett Shoelson

The NEW version is now available; have at it! Comments/suggestions welcome.

Brett Shoelson

Please note: I've submitted a semi-major revision, and am waiting for it to clear. The function will soon accept as optional arguments all PV pairs accepted by BLOCKPROC, and a "fudge factor," by which to multiply the local value returned by graythresh. You may want to wait until the new version is up to download this.

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

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