Please use this identifier to cite or link to this item: https://doi.org/10.1109/WACV.2009.5403091
Title: Interactive degraded document binarization: An example (and case) for interactive computer vision
Authors: Lu, Z. 
Wu, Z. 
Brown, M.S. 
Issue Date: 2009
Source: Lu, Z.,Wu, Z.,Brown, M.S. (2009). Interactive degraded document binarization: An example (and case) for interactive computer vision. 2009 Workshop on Applications of Computer Vision, WACV 2009. ScholarBank@NUS Repository. https://doi.org/10.1109/WACV.2009.5403091
Abstract: This paper describes a user-assisted application to perform adaptive thresholding (i.e. binarization) on degraded handwritten documents. While existing adaptive thresholding techniques purport to be automatic, they in fact require the user to perform non-intuitive parameter tuning to obtain satisfactory results. In our work, we recast the problem into one where the user needs only to coarsely markup regions in the thresholded image that have unsatisfactory results. These regions are then segmented and processed locally - no parameter tuning is necessary. Our user study shows that not only do the majority of users prefer our application over parameter tuning, but our final results are better than existing algorithms due to the more targeted processing. While our main contribution is an effective user-assisted application for document binarization, we use this as an example to advocate the need to rethink how many computer vision solutions, notoriously reliant on parameter tuning, can be reworked to exploit meaningful user interaction. © 2009 IEEE.
Source Title: 2009 Workshop on Applications of Computer Vision, WACV 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/40962
ISBN: 9781424454976
DOI: 10.1109/WACV.2009.5403091
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 13, 2017

Page view(s)

66
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.