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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Apatean, A. Emerich, S. Lupu, E. Alexandrina, R. Bensrhair, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Commun. Dep., Tech. Univ. of Cluj-Napoca, Cluj-Napoca (Apatean, A.; Emerich, S.; Lupu, E.) |
| Abstract | The artificial vision systems was developed having as model the human system, and therefore the objects recognition task is reduced to a classification: the recognition of an initial unknown object through detection of the similarities to another object, previously learned. Our purpose is to study the obstacle recognition in the ruttier scene using wavelet transform. We compared different recognition rates obtained by the use of different mother wavelet functions (as Daubechies, Coiflet, Biorthogonal and the recent discovered ones, named fractional B- splines). In order to improve the recognition rates, we added first order statistics features and the seven moments of Hu. |
| Starting Page | 882 |
| Ending Page | 887 |
| File Size | 428099 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416875 |
| DOI | 10.1109/ISCCSP.2008.4537348 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-12 |
| Publisher Place | Malta |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms moments of Hu wavelet transform fractional B-spline function Data mining Object recognition Spline Vehicles Learning systems obstacle classification Layout Neural networks Object detection Feature extraction |
| Content Type | Text |
| Resource Type | Article |
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