4.5 | 13 ratings Rate this file 156 downloads (last 30 days) File Size: 144.44 KB File ID: #8647

Local Adaptive Thresholding

05 Oct 2005 (Updated 13 Jun 2006)

No BSD License

Threshold with local statistics, such as mean or median.

File Information
Description	ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the foreground from the background with nonuniform illumination. bw=adaptivethreshold(IM,ws,C) outputs a binary image bw with the local threshold mean-C or median-C to the image IM. ws is the local window size. tm is 0 or 1, a switch between mean and median. tm=0 mean(default); tm=1 median. Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. For more information, please see http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm
Required Products	Image Processing Toolbox
MATLAB release	MATLAB 7.0.4 (R14SP2)
Zip File Content
Other Files	adaptivethreshold/adaptivethreshold.m, adaptivethreshold/page.png, adaptivethreshold/testadaptivethreshold.m, adaptivethreshold/tshape.png

Tags for This File
Everyone's Tags	filtering, threshold adaptive local
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Comments and Ratings (17)
07 Nov 2005	J. Zhou	Pretty cool results with flexible options. Great job!
22 Mar 2006	tester Mc tester	it didnt work!! i get Error using ==> mat2gray A must be double
26 Apr 2006	Alan Zhang	The 2 lines near the end should be changed from: sIM=mIM-IM; bw=im2bw(sIM,C); to: sIM=mIM-IM-C; bw=im2bw(sIM,0); This change allows C to be +ve and negative. In the old code bw=im2bw(sIM,C) causes error when C is -ve.
31 Jan 2007	Piyorot Khongchuay	cool
06 Mar 2007	saravanan kumar	nice work
24 Jun 2007	amit vishnipolsky
30 Jul 2007	mel tem	thank you
19 Sep 2007	saravanan radhakrishnan	really good code
09 Oct 2007	kayalvizhi lakshmanan
24 Mar 2008	ranjeeth dasineni	works great man!!
01 Apr 2008	zhang shi jie	really nice
10 Apr 2008	alev soke	thank you very much. it is a perfect program.
29 Apr 2008	Guillermo Moreno	Simple and Fast, thanks
21 Jul 2008	hafid rafi	it's very very simple thanks
05 Sep 2009	sanjay bhattacharya	Nice code, but not applicable in extreme situations.
05 Sep 2009	sanjay bhattacharya	I have written a code without using any std functions like imfilter etc, its purely based on fundamentals. CHECK OUT THE OUTPUT IMAGES http://sites.google.com/site/adapthresh/
05 Sep 2009	sanjay bhattacharya	it can detect the letters even where its very dark (see the lines in the end) line 8 etc

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Updates
07 Oct 2005	remove unnecessary Thumbs.db in zip file
13 Jun 2006	Thanks, Alan Zhang! I follow your advice.

Tag Activity for this File
Tag	Applied By	Date/Time
filtering	Guanglei Xiong	22 Oct 2008 08:01:56
threshold adaptive local	Guanglei Xiong	22 Oct 2008 08:01:56

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