Paper Info

Title | ||
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Probability distribution of sub-pixel edge position |

Abstract | ||
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This paper deals with the stochastic analysis of a sub-pixel edge detector. Under basic assumptions on the noise present in the image (white Gaussian and additive), we derive the two first-order moments of the sub-pixel edge position. Besides possibly using these results to evaluate the quality of the detection, this model shows the existence of a skew on the estimated position which can then be corrected. In order to validate the model, the theoretical results obtained are compared with experimental simulations. |

Year | DOI | Venue |
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2004 | 10.1016/j.sigpro.2003.11.010 | Signal Processing |

Keywords | Field | DocType |

paper deal,theoretical result,estimated position,sub-pixel edge detector,stochastic analysis,experimental simulation,noise present,first-order moment,basic assumption,sub-pixel edge position,probability distribution,first order | Mathematical optimization,Edge detection,Image processing,Algorithm,Stochastic process,Gaussian,Probability distribution,Stochastic modelling,Skew,Pixel,Calculus,Mathematics | Journal |

Volume | Issue | ISSN |

84 | 3 | Signal Processing |

Citations | PageRank | References |

2 | 0.41 | 11 |

Authors | ||

3 |

Authors (3 rows)

Cited by (2 rows)

References (11 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Sofiane Ramdani | 1 | 10 | 5.10 |

Frédéric Bouchara | 2 | 35 | 10.46 |

Khalifa Djemal | 3 | 42 | 8.97 |