NDLI: Interactive degraded document binarization: An example (and case) for interactive computer vision

Content Provider	IEEE Xplore Digital Library
Author	Zheng Lu Zheng Wu Brown, M.S.
Copyright Year	2009
Description	Author affiliation: School of Computing; National University of Singapore, Singapore (Zheng Lu; Zheng Wu; Brown, M.S.)
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.
Starting Page	1
Ending Page	8
File Size	1028935
Page Count	8
File Format	PDF
ISBN	9781424454976
ISSN	15505790
e-ISBN	9781424454983
DOI	10.1109/WACV.2009.5403091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Computer vision Application software Image segmentation Focusing Image storage Image converters Statistics Optimized production technology Feedback
Content Type	Text
Resource Type	Article

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