tabs for fabian

README

@@ -3,8 +3,8 @@ This is the source code of the Vienna UT MSTEx contest approach.
 It is licensed under the GPLv2 license (so feel free to use it).
 
 Authors:
-Markus Diem		[email protected]
-Fabian Hollaus 	[email protected]
+Markus Diem     [email protected]
+Fabian Hollaus  [email protected]
 
 Abstract:
 The proposed approach incorporates three methods for MultiSpectral Text Extraction. First, a rough foreground estimation is performed by thresholding a cleaned channel using the Su et al. [1] binarization. In order to compute a cleaned channel, the background channel F8 (1100nm) is removed from a visible channel F2 (500 nm). This rough foreground estimation is used in a second step to train an Adaptive Coherence Estimator (ACE) proposed by Scharf and Whorter [2]. The ACE detects a spectral subspace which enhances ink while the contrast of other elements (e.g. stains) is reduced.  Finally we combine the cleaned channel with the mean and standard deviation images and perform a GrabCut [3]. The GrabCut is guided by a mask which is based on the results of the ACE. Our source code is available at https://github.com/diemmarkus/MSTEx-CVL.git
@@ -16,9 +16,9 @@ Literature:
 
 
 Usefull links:
-[MSTEx Contest] 	http://www.synchromedia.ca/competition/ICDAR/mstexicdar2015.html
-[CVL]				http://www.caa.tuwien.ac.at/cvl/	
-[nomacs] 			http://www.nomacs.org
+[MSTEx Contest]    http://www.synchromedia.ca/competition/ICDAR/mstexicdar2015.html
+[CVL]              http://www.caa.tuwien.ac.at/cvl/	
+[nomacs]           http://www.nomacs.org
 
 If you need the original binary of the challenge - feel free to contact us:
 [email protected]