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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ha, V.H.S. Moura, J.M.F. |
| Copyright Year | 2005 |
| Description | Author affiliation: Digital Media Solutions Lab., Samsung Inf. Syst. America, Irvine, CA, USA (Ha, V.H.S.) |
| Abstract | Shape reorientation is a critical step in many image processing and computer vision applications, such as registration, detection, identification, and classification. Shape reorientation is a needed step to restore the correct orientation of a shape when its image is subject to an arbitrary rotation and reflection. We present a robust method to determine the standard "normalized" orientation of two-dimensional (2D) shapes in a blind manner, i.e., without any other information other than the given input shape. We introduce a set of orientation indicator indices (OII) that use low order central moments of the shape to monitor the orientational characteristics of the shape. Because these OIIs use only low (up to third) order moments, they are robust to noise and errors. We show with examples how we bring consistently a given shape with an unknown arbitrary orientation to its standard normalized orientation using the OII. |
| Sponsorship | IEEE Signal Processing Soc |
| File Size | 2078900 |
| File Format | |
| ISBN | 0780388747 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2005.1415520 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-03-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise shaping Image processing Computer vision Application software Monitoring Noise robustness Testing Shape measurement Information systems Image restoration |
| Content Type | Text |
| Resource Type | Article |
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