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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baird, H.S. Jones, S.E. Fortune, S.J. |
| Copyright Year | 1990 |
| Description | Author affiliation: AT&T Bell Labs., Murray Hill, NJ, USA (Baird, H.S.; Jones, S.E.; Fortune, S.J.) |
| Abstract | A technique for image segmentation using shape-directed covers is described and applied to the fully automatic analysis of complex printed-page layouts. The structure of the background (white space) is analyzed, assisted by an enumeration of all maximal white rectangles. For this enumeration, the most computationally expensive step, an algorithm has been developed that, aside from a sort, achieves an expected runtime linear in the number of black connected components. The crucial engineering decision is the specification of a partial order on white rectangles to express domain-specific knowledge of preferred shapes and sizes. This order determines a sequence of partial covers of the background, and thus, a sequence of nested page segmentations. In experimental trials on Manhattan layouts, good segmentations often occur early in this sequence, using a simple and uniform shape-direction rule. This is a global-to-local strategy, which for some tasks is superior to strategies currently emphasized in the literature, including bottom-up and top-down. |
| Starting Page | 820 |
| Ending Page | 825 |
| File Size | 740202 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818620625 |
| DOI | 10.1109/ICPR.1990.118223 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-06-16 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Merging Image analysis Runtime Shape Application software White spaces Knowledge engineering Computer vision Costs |
| Content Type | Text |
| Resource Type | Article |
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