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Content Provider | IEEE Xplore Digital Library |
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Author | Zheng Lu Zheng Wu Brown, M.S. |
Copyright Year | 2009 |
Description | Author affiliation: Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore (Zheng Lu; Zheng Wu; Brown, M.S.) |
Abstract | Ink-bleed interference is a serious problem that affects the legibility of old documents. Ink-bleed can be reduced using pixel classification based on user-supplied markup that labels examples of ink-bleed, foreground-ink, and background. The main challenge is ensuring that the user's markup sufficiently captures the characteristics of the document. This is particularly troublesome for old documents that can exhibit significant change within the same page. In this paper, we address this markup problem using a “directed assistance” approach in which the user provides a small amount of initial markup. The image is then classified and regions with low classification confidence are grouped and displayed to the user for another round of markup. The key idea is to direct the user to where markup is needed. In addition, local markup can be weighted in the classification algorithm to produce better results. |
Starting Page | 88 |
Ending Page | 95 |
File Size | 13531753 |
Page Count | 8 |
File Format | |
ISBN | 9781424439928 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2009.5206789 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-20 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Pixel Image segmentation Computer vision Interference Classification algorithms Libraries Potential well Source separation Wavelet domain Ink |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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