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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | von Gioi, R.G. Jakubowicz, J. Randall, G. |
| Copyright Year | 2007 |
| Description | Author affiliation: ENS Cachan, Cachan (von Gioi, R.G.; Jakubowicz, J.) |
| Abstract | In this paper we propose a new method for detecting straight line segments in digital images. It improves upon existing methods by giving precise results while controlling the number of false detections and can be applied to any digital image without parameter setting. The method is a nontrivial extension of the approach presented by Desolneux et al. (2000). The core of the method is an algorithm to cut a binary sequences into what we call a multisegment: a set of collinear and disjoint segments. We shall define a functional that measures the so called meaningfulness of a multisegment. This functional allows us to validate detections against an a contrario non-structured model and to select the best ones. The result is a global interpretation, line by line, of the image in terms of straight segments which gives back its geometry with high accuracy. Comparisons with state of the art methods are presented (more examples are available on-line). |
| File Size | 2659507 |
| File Format | |
| ISBN | 9781424414369 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2007.4379140 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Digital images Binary sequences Image analysis Image edge detection Geometry Feature extraction Data mining Information analysis Shape Computational Gestalt theory Straight line segment detection Number of False Alarms (NFA) |
| Content Type | Text |
| Resource Type | Article |
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