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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hadrich, A. Zribi, M. Masmoudi, A. |
| Copyright Year | 2012 |
| Description | Author affiliation: Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC-EA 4491), ULCO, 50 Rue Ferdinand, Buisson BP 719, 62228 Calais Cedex, France (Hadrich, A.; Zribi, M.) || Laboratoire de Probabilités et Statistiques, Faculté des Sciences, Université de Sfax, B.P 802, Tunisie (Masmoudi, A.) |
| Abstract | This paper describes a new density estimation method of distribution mixture based on B-spline density estimator with application to unsupervised statistical image segmentation. The proposed normalized B-spline density estimator overcomes the situation where the orthogonal series density estimator is not a probability density function (pdf). This estimator is competitive and bears a striking resemblance to the orthogonal series density estimator. We introduce the proposed estimator for estimating the mixture density. The application of suggested approach in unsupervised statistical image segmentation does not make heavy assumptions on the shape of the gray level image pixels distribution. |
| Starting Page | 480 |
| Ending Page | 483 |
| File Size | 428320 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467317139 |
| e-ISBN | 9781467317146 |
| e-ISBN | 9781467317122 |
| DOI | 10.1109/ICSMC.2012.6377770 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-14 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Splines (mathematics) Image segmentation Estimation Probability density function Algorithm design and analysis Bayesian methods Pattern recognition image segmentation Orthogonal series estimator probability density function B-spline density estimator |
| Content Type | Text |
| Resource Type | Article |
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