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Example of Lung Region Extraction from Chest X-Ray Image

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05 Oct 2006 (Updated )

Function for extract binary image from gray scale image

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Description

This function extracts a binary image from gray scale image using auto-tuned threshold value obtained from the correlation of Image euler numbers. Euler number is calculated using binary image correlated to gray scale level. Number of level being used is defined by the user.

This function works for Matlab 7.0 with bweuler() and histeq() function from Image Processing Toolbox. No further validation for other version done yet.

Required Products Image Processing Toolbox
MATLAB release MATLAB 7 (R14)
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Comments and Ratings (8)
22 Oct 2012 Muhammad

Could you please mail me your thesis or the link where i can find your thesis.
my e-mail big_eagle_mk@yahoo.com

Regards,

14 Feb 2011 Ho Yng

could you send me your paper as reference..(qiutan@live.com)
Thanks you so much..

16 May 2010 toprak bay

could you send me your paper. (toprak_bay@hotmail.com).and I'd like to ask you some question. could you give me an address for communication. thank you...

19 Feb 2008 rohit garg

i am doing a project on segmentation and classification of brain tumor from MRI images of the brain so can u please helm me out with some related codes on my email i.e rohitgarg.g@gmail.com.

10 Dec 2007 uruba musmar

can u send me plz send me the link of ur paper or send it by email to uruba_musmar@yahoo.com
im interested in this topic.

thankx

25 Nov 2007 Jeng Aida

Please can you kindly send me your write up on this please on email address fyebiram@yahoo.com. Thanks

16 Mar 2007 Srinivas Pandian

Hi...I am intrested in knowing more about this project. Could you please mail me your thesis or the link where i can find your thesis. My Mail id is srinivas_k_pandian@yahoo.co.in. Thank you

08 Oct 2006 chen minjie

Can you give me a link of your paper or send it to my email (mjchen134@gmail.com)? I am intersted in it and want to know more about how can you get the threshold by different threshold's euler number. Thank you!

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